The Application of Machine Learning to the Prediction of Heart Attack
Keywords:
Machine Learning, Prediction of Heart Attack, Electrocardiogram, Heart Disease, Algorithm Neural Networks
Abstract
Heart illnesses are among the most significant contributors to mortality in the world in the modern era. Heart attacks are responsible for the death of one person every 33 seconds. disease of the cardiovascular system by disclosing the proportion of mortality all over the world that are caused by heart attacks. In order to forecast instances of heart disease, a supervised machine learning method is utilised. Because the incidence of heart strokes in younger people is growing at an alarming rate, we need to establish a method that can identify the warning signs of a heart attack at an early stage and stop the stroke before it occurs. Because it is impractical for the average person to often undertake expensive tests like the electrocardiogram (ECG), there is a need for a system that is convenient and, at the same time, accurate in forecasting the likelihood of developing heart disease. Therefore, our plan is to create a programme that, given basic symptoms such as age, sex, pulse rate, etc., can determine whether or not a person is at risk for developing a cardiac condition. The machine learning algorithm neural networks that are used in the suggested system are the most accurate and dependable.
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118. Prasad A. , Chakrabarti P., “Extending Access Management to maintain audit logs in cloud computing", International Journal of Advanced Computer Science and Applications ,5(3),pp.144-147, 2014.
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120. Patidar H. , Chakrabarti P., “A Novel Edge Cover based Graph Coloring Algorithm”, International Journal of Advanced Computer Science and Applications , 8(5),pp.279-286,2017.
121. Patidar H., Chakrabarti P., Ghosh A., “Parallel Computing Aspects in Improved Edge Cover based Graph Coloring Algorithm”, Indian Journal of Science and Technology ,10(25),pp.1-9,2017.
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133. Srinath Venkatesan, “Identification Protocol Heterogeneous Systems in Cloud Computing”, MSEA, vol. 72, no. 1, pp. 615–621, Feb. 2023.
134. Cristian Laverde Albarracín, Srinath Venkatesan, Arnaldo Yana Torres, Patricio Yánez-Moretta, Juan Carlos Juarez Vargas, “Exploration on Cloud Computing Techniques and Its Energy Concern”, MSEA, vol. 72, no. 1, pp. 749–758, Feb. 2023.
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137. Srinath Venkatesan, “Challenges of Datafication: Theoretical, Training, And Communication Aspects of Artificial Intelligence” Ion exchange and adsorption. Volume 23, Issue 1, 2023.
138. Giovanny Haro-Sosa , Srinath Venkatesan, “Personified Health Care Transitions With Automated Doctor Appointment System: Logistics”, Journal of Pharmaceutical Negative Results, pp. 2832–2839, Feb. 2023
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145. Khan, S., & Alghulaiakh, H. (2020). ARIMA Model for Accurate Time Series Stocks Forecasting. International Journal of Advanced Computer Science Applications, 11(7), 524-528.
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164. Sreemoy Kanti Das, GS Chakraborthy, Tulika Chakrabarti, Prasun Chakrabarti, Mohammad Javad Gholamzadeh, Mohammad Nami, “Evaluation of nootropic activity of standardized Epipremnum aureum extract against scopolamine-induced amnesia in experimental animals”, Journal of Advanced Medical Sciences and Applied Technologies, 6(1): 64-71,2021
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180. Prasun Chakrabarti , Tulika Chakrabarti , Mayank Sharma. , D Atre D, K.Baba Pai, “Quantification of Thought Analysis of Alcohol-addicted persons and memory loss of patients suffering from stage-4 liver cancer”, Advances in Intelligent Systems and Computing, 1053, pp.1099-1105, 2020
181. Prasun Chakrabarti, Tulika Chakrabarti , Biswajit Satpathy, I SenGupta , Jonathan Andrew Ware, “Analysis of strategic market management in the light of stochastic processes, recurrence relation, Abelian group and expectation”, Advances in Artificial Intelligence and Data Engineering, 1133 , pp.701-710, 2020
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52. Shareef, S. S., & Farivarsadri, G. (2019). The impact of colour and light on children with autism in interior spaces from an architectural point of view. International Journal of Arts Technology, 11(2), 153-164.
53. Shareef, S. S., & Farivarsadri, G. (2020). An innovative framework for teaching/learning technical courses in architectural education. Sustainability, 12(22), 9514.
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55. V. B. Ramu and A. R. Yeruva, “AIOps research innovations, performance impact and challenges faced,” Int. J. Syst. Syst. Eng., vol. 13, no. 3, p. 1, 2023.
56. M. M. Kirmani and A. Wahid, “Revised use case point (re-UCP) model for software effort estimation,” International Journal of Advanced Computer Science and Applications, vol. 6, no. 3, 2015.
57. M. M. Kirmani and A. Wahid, “Impact of modification made in re-UCP on software effort estimation,” Journal of Software Engineering and Applications, vol. 08, no. 06, pp. 276–289, 2015.
58. Syed Immamul Ansarullah, Syed Mohsin Saif, Pradeep Kumar, Mudasir Manzoor Kirmani, "Significance of Visible Non-Invasive Risk Attributes for the Initial Prediction of Heart Disease Using Different Machine Learning Techniques", Computational Intelligence and Neuroscience, vol. 2022, Article ID 9580896, 12 pages, 2022.
59. Syed Immamul Ansarullah, Syed Mohsin Saif, Syed Abdul Basit Andrabi, Sajadul Hassan Kumhar, Mudasir M. Kirmani, Dr. Pradeep Kumar, "An Intelligent and Reliable Hyperparameter Optimization Machine Learning Model for Early Heart Disease Assessment Using Imperative Risk Attributes", Journal of Healthcare Engineering, vol. 2022, Article ID 9882288, 12 pages, 2022.
60. M. Alsoud and I. Othman, "Factors influencing online shopping intention in Jordan: an empirical study based on the Tam model", International Journal of Current Innovations in Advanced Research, vol. 1, no. 6, pp. 1-13, 2018.
61. R. Imtiaz, M. Alsoud, M. Ramish, A. Aziz and A. Anwar, "Impact of Face book on Advertising: Analysis of effectiveness of Face book on enhancing customer purchase intention", Elementary Education Online, vol. 20, no. 5, pp. 7130-7149, 2021.
62. M. Alsoud and I. Othman, "The Determinant of Online Shopping Intention in Jordan: A Review and Suggestions for Future Research", International Journal of Academic Research in Business and Social Sciences, vol. 8, no. 8, 2018.
63. T. Majali, M. Alsoud, A. Omar and I. Alhassan, "Social Media Use as Health Awareness Tool: A Study among Healthcare Practitioners", Multicultural Education, vol. 7, no. 2, pp. 1-5, 2021.
64. T. Majali, M. Alsoud, H. Yaseen, R. Almajali and S. Barkat, "The effect of digital review credibility on Jordanian online purchase intention", International Journal of Data and Network Science, vol. 6, no. 3, pp. 973-982, 2022.
65. Trawnih, S. Al-Masaeed, M. Alsoud and A. Alkufahy, "Understanding artificial intelligence experience: A customer perspective", International Journal of Data and Network Science, vol. 6, no. 4, pp. 1471-1484, 2022.
66. T. Majali, A. Omar, M. Alsoud and S. Barakat, "Use of Social Media in Promoting Breast Cancer Awareness among Malaysian Women of Generation Y: A Conceptual Framework", Multicultural Education, vol. 7, no. 2, pp. 58-67, 2021.
67. A. Al-Adwan, M. Alrousan, H. Yaseen, A. Alkufahy and M. Alsoud, "Boosting Online Purchase Intention in High-Uncertainty-Avoidance Societies: A Signaling Theory Approach", Journal of Open Innovation: Technology, Market, and Complexity, vol. 8, no. 3, p. 136, 2022.
68. M. Alsoud, M., and A. Mustafa. “The Impact of Security Protection on Online Shopping Intention upon Jordanian Markets”, Merit Research Journal of Business and Management, vol.8, no.2, pp.023-027.
69. A. Al-Adwan, H. Yaseen, A. Alsoud, F. Abousweilem and W. Al-Rahmi, "Novel extension of the UTAUT model to understand continued usage intention of learning management systems: the role of learning tradition", Education and Information Technologies, vol. 27, no. 3, pp. 3567-3593, 2021.
70. A. Al Adwan, "Case study and grounded theory: a happy marriage? An exemplary application from healthcare informatics adoption research", International Journal of Electronic Healthcare, vol. 9(4), p. 294, 2017.
71. A. Samed Al-Adwan, M. Nofal, H. Akram, N. Awni Albelbisi and M. Al-Okaily, "Towards a Sustainable Adoption of E-Learning Systems: The Role of Self-Directed Learning", Journal of Information Technology Education: Research, vol. 21, pp. 245-267, 2022.
72. A. Al-Adwan, M. Al-Debei and Y. Dwivedi, "E-commerce in high uncertainty avoidance cultures: The driving forces of repurchase and word-of-mouth intentions", Technology in Society, vol. 71, p. 102083, 2022.
73. A. Al-Adwan, “Novel research framework for social commerce purchase intentions”, Journal of Theoretical & Applied Information Technology, vol. 96, no.14, pp.4390-4404, 2018.
74. A. Al-Adwan and G. Sammour, "What Makes Consumers Purchase Mobile Apps: Evidence from Jordan", Journal of Theoretical and Applied Electronic Commerce Research, vol. 16, no. 3, pp. 562-583, 2020.
75. J. Cruz Ángeles, The legal-community obligations of the large digital service provider platforms in the metaverse era, Cuad. transnational law , vol. 14, no. 2, p. 294-318, Sept. 2022.
76. J. Cruz Ángeles, The guardians of access to the metaverse. (Re)thinking the Competition Law of the European Union, Cuad. transnational law , vol. 15, no. 1, p. 275-296, Mar. 2023.
77. Pandya S., R. Gadekallu, P. K. Reddy, W. Wang and M. Alazab, "InfusedHeart: A Novel Knowledge-Infused Learning Framework for Diagnosis of Cardiovascular Events," IEEE Transactions on Computational Social Systems.
78. Ghayvat, H., Pandya, S., Bhattacharya, P., Zuhair, M. et al., CP-BDHCA: Blockchain- based Confidentiality-Privacy preserving Big Data scheme for healthcare clouds and applications, IEEE Journal of Biomedical and Health Informatics(J-BHI).
79. Ghayvat, H., Awais, M., Bashir, Pandya S., K. et al. AI-enabled radiologist in the loop: novel AI-based framework to augment radiologist performance for COVID-19 chest CT medical image annotation and classification from pneumonia. Neural Comput & Applic (2022).
80. Ghayvat, H., Pandya, S., M. Awais, K. Dev, “STRENUOUS: Edge-Line Computing, AI and IIoT enabled GPS Spatiotemporal data-based Meta-transmission Healthcare Ecosystem for Virus Outbreaks Discovery”, IEEE Internet of Things Journal.
81. Arikumar, K.S.; Prathiba, S.B.; Alazab, M.; Gadekallu, T.R.; Pandya, S.; Khan, J.M.; Moorthy, R.S. FL-PMI: Federated Learning-Based Person Movement Identification through Wearable Devices in Smart Healthcare Sensors 2022, 22, 1377.
82. Patil S, Pandya “Forecasting Dengue Hotspots Associated with Variation in Meteorological Parameters Using Regression and Time Series Models.” Frontiers in public health. 2021;9.
83. Pandya Sharnil, Sur, A, Solke, N, COVIDSAVIOUR: A Novel Sensor-Fusion and Deep Learning-Based Framework for Virus Outbreaks, Frontiers in Public Health.
84. Pandya, and Ghayvat, H., Ambient acoustic event assistive framework for identification, detection, and recognition of unknown acoustic events of a residence. Advanced Engineering Informatics, 47, p.1012, 2021, Elsevier.
85. Ghayvat, H., Awais, M., Gope, P., Pandya, S. and Majumdar, S., 2021. ReCognizing SUspect and PredictiNg ThE SpRead of Contagion Based on Mobile Phone LoCation DaTa: A System of identifying COVID-19 infectious and hazardous sites, detecting disease outbreaks based on the internet of things, edge computing, and artificial intelligence, Sustainable Cities and Society, p.102798, Elsevier.
86. Pandya, Sharnil, Aanchal Thakur, Santosh Saxena, Nandita Jassal, Chirag Patel, Kirit Modi, Pooja Shah, Rahul Joshi, Sudhanshu Gonge, Kalyani Kadam, and Prachi Kadam. A Study of the Recent Trends of Immunology: Key Challenges, Domains, Applications, Datasets, and Future Directions, Sensors, 2021, 23: 7786.
87. Abolfazl Mehbodniya, L. Arokia Jesu Prabhu, Julian L. Webber, Dilip Kumar Sharma, Pandya, Sharnil, Fetal Health Classification from Cardiotocographic Data Using Machine Learning, Expert Systems, Wiley,
88. Mishra, N. and Pandya, , Internet of Things Applications, Security Challenges, Attacks, Intrusion Detection, and Future Visions: A Systematic Review, IEEE Access, April 2021.
89. Nivedita Mishra, Pandya, Sharnil Chirag Patel et al. Memcached: An Experimental Study of DDoS Attacks for the Wellbeing of IoT applications”, Sensors 2022.
90. Shah A, Ahirrao S, Pandya S, Kotecha K and Rathod S, Smart Cardiac Framework for an Early Detection of Cardiac Arrest Condition and Risk, Frontiers in Public Health, doi: 10.3389/fpubh.2021.762303
91. Sushruta Mishra,Hrudaya Kumar Tripathy,Hiren Kumar Thakkar,Deepak Garg,Ketan Kotecha*,Sharnil Pandya, An Explainable Intelligence Driven Query Prioritization using Balanced Decision Tree Approach for Multi Level Psychological Disorders Assessment, Frontiers in Public Health, 2021.
92. Ghayvat, ; Awais, M.; Pandya, S.; Ren, H.; Akbarzadeh, S.; Chandra Mukhopadhyay, S.; Chen, C.; Gope, P.; Chouhan, A.; Chen, W. Smart Aging System: Uncovering the Hidden Wellness Parameter for Well-Being Monitoring and Anomaly Detection. Sensors, 19, 766.
93. Pandya, S, Sur, A. and Kotecha, K., "Smart epidemic tunnel: IoT-based sensor-fusion assistive technology for COVID-19 disinfection", International Journal of Pervasive Computing and Communications, Emerald Publishing.
94. Srivastava, A., Jain, S., Miranda, R., Patil, S., Pandya, S., Kotecha K. 2021. Deep learning-based respiratory sound analysis for detection of chronic obstructive pulmonary PeerJ Computer Science 7:e369.
95. Karn, A.L., Pandya, S., Mehbodniya, A. et al. An integrated approach for sustainable development of wastewater treatment and management system using IoT in smart Soft Computing, Springer, 2021.
96. Pandya, S., Ghayvat, H., Sur, A., Awais, M., Kotecha, K., Saxena, S., Jassal, N., Pingale, G. Pollution Weather Prediction System: Smart Outdoor Pollution Monitoring and Prediction for Healthy Breathing and Sensors, 2020, 20, 5448.
97. Awais, , Ghayvat, H., Krishnan Pandarathodiyil, A., Nabillah Ghani, W.M., Ramanathan, A., Pandya, S., Walter, N., Saad, M.N., Zain, R.B., Faye, I. Healthcare Professional in the Loop (HPIL): Classification of Standard and Oral Cancer-Causing Anomalous Regions of Oral Cavity Using Textural Analysis Technique in Autofluorescence Imaging. Sensors, 2020, 20, 5780.
98. Patel, C.I., Labana, D., Pandya, S., Modi, K., Ghayvat, H. and Awais, M., 2020. Histogram of Oriented Gradient-Based Fusion of Features for Human Action Recognition in Action Video Sensors, 20(24), p.7299. [IF: 3.5]
99. Pandya, , Ghayvat, H.; Kotecha, K.; Awais, M.; Akbarzadeh, S.; Gope, P.; Mukhopadhyay, S.C.; Chen, W. Smart Home Anti-Theft System: A Novel Approach for Near Real-Time Monitoring and Smart Home Security for Wellness Protocol. Appl. Syst. Innov.
100. Barot, V., Kapadia, V., & Pandya, S., QoS Enabled IoT Based Low Cost Air Quality Monitoring System with Power Consumption Optimization, Cybernetics and Information Technologies, 2020, 20(2), 122-140, Bulgarian Academy of Science.
101. Pandya, S., Wakchaure MA, Shankar R, Annam JR. Analysis of NOMA-OFDM 5G wireless system using deep neural network. The Journal of Defense Modeling.
102. Mehta P, Pandya S., Kotecha K. 2021. Harvesting social media sentiment analysis to enhance stock market prediction using deep learning, PeerJ Computer Science 7:e369.
103. Sur S., Pandya, S., Ramesh P. Sah, Ketan Kotecha & Swapnil Narkhede, Influence of bed temperature on performance of silica gel/methanol adsorption refrigeration system at adsorption equilibrium, Particulate Science.
104. Sur, A., Sah, R., Pandya, S., Milk storage system for remote areas using solar thermal energy and adsorption cooling, Materials Today, Volume 28, Part 3,
105. N. Albelbisi, A. Al-Adwan and A. Habibi, "Impact Of Quality Antecedents On Satisfaction Toward MOOC", Turkish Online Journal of Distance Education, pp. 164-175, 2021.
106. R. Meet, D. Kala and A. Al-Adwan, "Exploring factors affecting the adoption of MOOC in Generation Z using extended UTAUT2 model", Education and Information Technologies, vol. 27, no. 7, pp. 10261-10283, 2022.
107. A. Al-Adwan, "Revealing the Influential Factors Driving Social Commerce Adoption", Interdisciplinary Journal of Information, Knowledge, and Management, vol. 14, pp. 295-324, 2019. Available: 10.28945/4438
108. A.S. Al-Adwan and N. Khdour, “Exploring Student Readiness to MOOCs in Jordan: A Structural Equation Modelling Approach”, vol.19, pp. 223-242.
109. A. Al-Adwan, N. Albelbisi, S. Aladwan, O. Horani, A. Al-Madadha and M. Al Khasawneh, "Investigating the Impact of Social Media Use on Student’s Perception of Academic Performance in Higher Education: Evidence from Jordan", Journal of Information Technology Education: Research, vol. 19, pp. 953-975, 2020.
110. Shareef, S. S., Rajeshkumar, S., & Rauf, H. L. (2022). A Numerical Study on Forced Vibration Analysis and Optimum Design of Rotating Composite Multiwalled Carbon Nanotubes-Reinforced Smart Sandwich Plate. International Journal of Structural Stability Dynamics, 22(01), 2250009.
111. Shareef, S. S., & Rauf, H. L. (2021). The Influence of Building Structure on Human Perception in Interior Spaces. Journal of Studies in Science Engineering.
112. Shareef, S. S., & Sani, R. M. (2021). The symbolic usage of stone beyond its function as a construction material: Example of residential architecture in Iraqi Kurdistan. Semiotica, 2021(238), 37-59.
113. Chakrabarti P., Bhuyan B., Chaudhuri A. and Bhunia C.T., “A novel approach towards realizing optimum data transfer and Automatic Variable Key(AVK)” , International Journal of Computer Science and Network Security, 8(5), pp.241-250, 2008.
114. Chakrabarti P. , Goswami P.S., “Approach towards realizing resource mining and secured information transfer”, International Journal of Computer Science and Network Security, 8(7), pp.345-350, 2008.
115. Chakrabarti P., Choudhury A., Naik N. , Bhunia C.T., “Key generation in the light of mining and fuzzy rule”, International Journal of Computer Science and Network Security, 8(9), pp.332-337, 2008.
116. Chakrabarti P., De S.K., Sikdar S.C., “Statistical Quantification of Gain Analysis in Strategic Management” , International Journal of Computer Science and Network Security,9(11), pp.315-318, 2009.
117. Chakrabarti P. , Basu J.K. , Kim T.H., “Business Planning in the light of Neuro-fuzzy and Predictive Forecasting”, Communications in Computer and Information Science , 123, pp.283-290, 2010.
118. Prasad A. , Chakrabarti P., “Extending Access Management to maintain audit logs in cloud computing", International Journal of Advanced Computer Science and Applications ,5(3),pp.144-147, 2014.
119. Sharma A.K., Panwar A., Chakrabarti P. ,Viswakarma S., “Categorization of ICMR Using Feature Extraction Strategy and MIR with Ensemble Learning”, Procedia Computer Science, 57,pp.686-694,2015.
120. Patidar H. , Chakrabarti P., “A Novel Edge Cover based Graph Coloring Algorithm”, International Journal of Advanced Computer Science and Applications , 8(5),pp.279-286,2017.
121. Patidar H., Chakrabarti P., Ghosh A., “Parallel Computing Aspects in Improved Edge Cover based Graph Coloring Algorithm”, Indian Journal of Science and Technology ,10(25),pp.1-9,2017.
122. M. Farooq, “Supervised Learning Techniques for Intrusion Detection System based on Multi-layer Classification Approach,” International Journal of Advanced Computer Science and Applications, vol. 13, no. 3, 2022.
123. M. Farooq and M. Hassan, “IOT smart homes security challenges and solution,” International Journal of Security and Networks, vol. 16, no. 4, p. 235, 2021.
124. M. Farooq and M. Hassan, “Pattern recognition in digital images using fractals,” International Journal of Engineering and Advanced Technology, vol. 9, no. 2, p. 3180 – 3183, 2019.
125. M. Farooq, “Optimizing pattern recognition scheme using genetic algorithms in computer image processing”. International Journal of Advanced Research in Computer Engineering & Technology. vol. 4, no. 3, p. 834 – 836, 2015.
126. M. Farooq, “Application of Genetic Algorithm & Morphological Operations for Image Segmentation”. International Journal of Advanced Research in Computer and Communication Engineering. vol.4, no.3, p. 195-199, 2015.
127. M. Farooq, “Split/Merge and Chromosome Encoding Model of Genetic Algorithm For Image Segmentation & Optimization”. International Journal of Advanced Research in Computer Science, vol. 6, p. 87-91, 2015.
128. M. Farooq, “Color Edge Detection Based on the Fusion of Intensity and Chromatic Differences”. International Journal of Recent Technology and Engineering (IJRTE). vol. 8, no. 6, p. 1038–1041, 2020.
129. M. Farooq, “Enhancement and Segmentation of Digital Image using Genetic Algorithm”. International Journal of Research in Electronics and Computer Engineering. vol.7, no. 2, p. 2619–2623, 2019.
130. M. Farooq, “Genetic algorithm technique in hybrid intelligent systems for pattern recognition”. International Journal of Innovative Research in Science, Engineering and Technology. vol. 4, no. 4, p.1891-1898, 2015.
131. M. Farooq, “Application of Genetic Programming for Pattern Recognition”. International Journal of Advanced Research in Computer and Communication Engineering. vol. 4, no. 4, p. 14-17, 2015.
132. Srinath Venkatesan, “Design an Intrusion Detection System based on Feature Selection Using ML Algorithms”, MSEA, vol. 72, no. 1, pp. 702–710, Feb. 2023
133. Srinath Venkatesan, “Identification Protocol Heterogeneous Systems in Cloud Computing”, MSEA, vol. 72, no. 1, pp. 615–621, Feb. 2023.
134. Cristian Laverde Albarracín, Srinath Venkatesan, Arnaldo Yana Torres, Patricio Yánez-Moretta, Juan Carlos Juarez Vargas, “Exploration on Cloud Computing Techniques and Its Energy Concern”, MSEA, vol. 72, no. 1, pp. 749–758, Feb. 2023.
135. Srinath Venkatesan, “Perspectives and Challenges of Artificial Intelligence Techniques in Commercial Social Networks”Volume 21, No 5 (2023).
136. Srinath Venkatesan, Zubaida Rehman, “The Power Of 5g Networks and Emerging Technology and Innovation: Overcoming Ongoing Century Challenges” Ion exchange and adsorption, Volume 23, Issue 1, 2023.
137. Srinath Venkatesan, “Challenges of Datafication: Theoretical, Training, And Communication Aspects of Artificial Intelligence” Ion exchange and adsorption. Volume 23, Issue 1, 2023.
138. Giovanny Haro-Sosa , Srinath Venkatesan, “Personified Health Care Transitions With Automated Doctor Appointment System: Logistics”, Journal of Pharmaceutical Negative Results, pp. 2832–2839, Feb. 2023
139. Srinath Venkatesan, Sandeep Bhatnagar, José Luis Tinajero León, "A Recommender System Based on Matrix Factorization Techniques Using Collaborative Filtering Algorithm", neuroquantology, vol. 21, no. 5, pp. 864-872, march 2023.
140. Srinath Venkatesan, "Utilization of Media Skills and Technology Use Among Students and Educators in The State of New York", Neuroquantology, Vol. 21, No 5, pp. 111-124, (2023).
141. Srinath Venkatesan, Sandeep Bhatnagar, Iván Mesias Hidalgo Cajo, Xavier Leopoldo Gracia Cervantes, "Efficient Public Key Cryptosystem for wireless Network", Neuroquantology, Vol. 21(5), pp. 600-606, (2023).
142. V. S. R. Kosuru and A. K. Venkitaraman, “Developing a Deep Q-Learning and Neural Network Framework for Trajectory Planning”, EJENG, vol. 7, no. 6, pp. 148–157, Dec. 2022.
143. K. Venkitaraman and V. S. R. Kosuru, “Hybrid Deep Learning Mechanism for Charging Control and Management of Electric Vehicles”, EJECE, vol. 7, no. 1, pp. 38–46, Jan. 2023.
144. Khan, S. (2021). Visual Data Analysis and Simulation Prediction for COVID-19 in Saudi Arabia Using SEIR Prediction Model. International Journal of Online Biomedical Engineering, 17(8).
145. Khan, S., & Alghulaiakh, H. (2020). ARIMA Model for Accurate Time Series Stocks Forecasting. International Journal of Advanced Computer Science Applications, 11(7), 524-528.
146. Khan, S., & Alqahtani, S. (2020). Big data application and its impact on education. International Journal of Emerging Technologies in Learning, 15(17), 36-46.
147. Khan, S., Fazil, M., Sejwal, V. K., Alshara, M. A., Alotaibi, R. M., Kamal, A., & Baig, A. R. (2022). BiCHAT: BiLSTM with deep CNN and hierarchical attention for hate speech detection. Journal of King Saud University-Computer Information Sciences, 34(7), 4335-4344.
148. Khan, S., Saravanan, V., Lakshmi, T. J., Deb, N., & Othman, N. A. (2022). Privacy Protection of Healthcare Data over Social Networks Using Machine Learning Algorithms. Computational Intelligence and Neuroscience, 2022, 8 pages.
149. Khan, S., & AlSuwaidan, L. (2022). Agricultural monitoring system in video surveillance object detection using feature extraction and classification by deep learning techniques. Computers and Electrical Engineering, 102, 108201.
150. Khan, S. (2022). Business Intelligence Aspect for Emotions and Sentiments Analysis. Paper presented at the 2022 First International Conference on Electrical, Electronics, Information and Communication Technologies.
151. Khan, S. A., Reemiah Muneer. (2023). A Novel Thresholding for Prediction Analytics with Machine Learning Techniques. International Journal Of Computer Science And Network Security, 23(1), 33.
152. Khan, S., & AlAjmi, M. F. (2019). A Review on Security Concerns in Cloud Computing and their Solutions. International Journal of Computer Science Network Security, 19(2), 10.
153. Alfaifi, A. A., & Khan, S. G. (2022). Utilizing Data from Twitter to Explore the UX of “Madrasati” as a Saudi e-Learning Platform Compelled by the Pandemic. Arab Gulf Journal of Scientific Research, 39(3), 200-208.
154. Aryal, A., Stricklin, I., Behzadirad, M., Branch, D. W., Siddiqui, A., & Busani, T. (2022). High-Quality Dry Etching of LiNbO3 Assisted by Proton Substitution through H2-Plasma Surface Treatment. Nanomaterials, 12(16), 2836.
155. Paldi, Robynne L., Arjun Aryal, Mahmoud Behzadirad, Tito Busani, Aleem Siddiqui, and Haiyan Wang. "Nanocomposite-seeded Single-Domain Growth of Lithium Niobate Thin Films for Photonic Applications." In 2021 Conference on Lasers and Electro-Optics (CLEO), pp. 1-2. IEEE, 2021.
156. Shifat, A. Z., Stricklin, I., Chityala, R. K., Aryal, A., Esteves, G., Siddiqui, A., & Busani, T. (2023). Vertical Etching of Scandium Aluminum Nitride Thin Films Using TMAH Solution. Nanomaterials, 13(2), 274.
157. A. Ghosh, P. Chakrabarti, P. Siano, “Approach towards realizing the Security Threats for Mobile IPv6 and Solution Thereof”, International Journal of Computer Applications, Foundation of Computer Science, Vol. 90, Issue 10, Jan. 2014.
158. A. Ghosh, P. Chakrabarti, D. Bhatnagar, “Performance Evaluation of Optimized Mobile IP Protocol Vis-à-vis Bit Map Indexing Method”, International Journal of Computer Applications, Foundation of Computer Science, Vol. 75, Issue: 2, Jan. 2013.
159. Papiya Debnath, Pankaj Chittora, Tulika Chakrabarti, Prasun Chakrabarti, Zbigniew Leonowicz, Michal Jasinski , Radomir Gono, Elżbieta Jasińska, “Analysis of earthquake prediction in India using supervised machine learning classifiers”, Sustainibility ,13(2):971 , 2021.
160. 21. Pankaj Chittora, Sandeep Chaurasia, Prasun Chakrabarti, Gaurav Kumawat, Tulika Chakrabarti, Zbigniew Leonowiz, Michael Jaisinski, Lukasz Jaisinski, Radomir Gono, Elzbieta Jaisinski, Vadim Bolshev, “Prediction of Chronic Kidney Disease - A Machine Learning perspective", IEEE Access,9 : 17312-17334,2021
161. Akhilesh Kumar Sharma, Gaurav Aggarwal, Sachit Bhardwaj, Prasun Chakrabarti, Tulika Chakrabarti, Jemal Hussain, Siddhartha Bhattarcharyya, Richa Mishra, Anirban Das, Hairulnizam Mahdin, “Classification of Indian Classical Music with Time-Series Matching using Deep Learning”, IEEE Access , 9 : 102041-102052 , 2021.
162. Abrar Ahmed Chhipa , Vinod Kumar, R. R. Joshi, Prasun Chakrabarti, Michal Jaisinski, Alessandro Burgio, Zbigniew Leonowicz, Elzbieta Jasinska, Rajkumar Soni, Tulika Chakrabarti, “Adaptive Neuro-fuzzy Inference System Based Maximum Power Tracking Controller for Variable Speed WECS”, Energies ,14(19) :6275, 2021.
163. Tulika Chakrabarti, Sibabrata Mukhopadhyay, Prasun Chakrabarti, Gholamreza Hatam, Mohammad Nami, “Phenyl Ethanoid Glycoside from the bark of Oroxylum indicum vent : a potential inhibitor of DNA Topoisomerase IB of Leismania donovani”, Journal of Advanced Medical Sciences and Applied Technologies , 2021.
164. Sreemoy Kanti Das, GS Chakraborthy, Tulika Chakrabarti, Prasun Chakrabarti, Mohammad Javad Gholamzadeh, Mohammad Nami, “Evaluation of nootropic activity of standardized Epipremnum aureum extract against scopolamine-induced amnesia in experimental animals”, Journal of Advanced Medical Sciences and Applied Technologies, 6(1): 64-71,2021
165. A, V. V. ., T, S. ., S, S. N. ., & Rajest, D. S. S. . (2022). IoT-Based Automated Oxygen Pumping System for Acute Asthma Patients. European Journal of Life Safety and Stability (2660-9630), 19 (7), 8-34.
166. Regin, D. R., Rajest, D. S. S., T, S., G, J. A. C., & R, S. (2022). An Automated Conversation System Using Natural Language Processing (NLP) Chatbot in Python. Central Asian Journal Of Medical And Natural Sciences, 3(4), 314-336.
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168. T, S., Rajest, S. S., Regin, R., Christabel G, J. A., & R, S. (2022). Automation And Control Of Industrial Operations Using Android Mobile Devices Based On The Internet Of Things. Central Asian Journal of Mathematical Theory and Computer Sciences, 3(9), 1-33.
169. Jerusha Angelene Christabel G, Shynu T, S. Suman Rajest, R. Regin, & Steffi. R. (2022). The use of Internet of Things (Iot) Technology in the Context of “Smart Gardens” is Becoming Increasingly Popular. International Journal of Biological Engineering and Agriculture, 1(2), 1–13.
170. R. Steffi, G. Jerusha Angelene Christabel, T. Shynu, S. Suman Rajest, R. Regin (2022), “ A Method for the Administration of the Work Performed by Employees”, Journal of Advanced Research in Dynamical and Control Systems, Vol.14, no.1, pp. 7-23.
171. R. Regin, Steffi. R, Jerusha Angelene Christabel G, Shynu T, S. Suman Rajest (2022), “Internet of Things (IoT) System Using Interrelated Computing Devices in Billing System”, Journal of Advanced Research in Dynamical and Control Systems, Vol.14, no.1, pp. 24-40.
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Published
2023-04-13
How to Cite
R. Regin, S. Suman Rajest, Shynu T, & Steffi. R. (2023). The Application of Machine Learning to the Prediction of Heart Attack. International Journal of Human Computing Studies, 5(4), 5-25. https://doi.org/10.31149/ijhcs.v5i4.4259
