A Comparative Study of AI Techniques for Disease Prediction

Sara Ahmed

doi:10.36676/jrps.v15.i2.1566

Authors

Sara Ahmed Faculty of Medicine and AI, River Valley University, Egypt

DOI:

https://doi.org/10.36676/jrps.v15.i2.1566

Keywords:

Artificial Intelligence, Disease Prediction, Random Forest

Abstract

The research compares various AI techniques, including decision trees, random forests, and neural networks, for predicting diseases like heart failure based on patient data.

References

Agarwal, Nishit, Rikab Gunj, Venkata Ramanaiah Chintha, Vishesh Narendra Pamadi, Anshika Aggarwal, and Vikhyat Gupta. 2023. "GANs for Enhancing Wearable Biosensor Data Accuracy." SHODH SAGAR® Universal Research Reports 10(4):533. https://doi.org/10.36676/urr.v10.i4.1362. DOI: https://doi.org/10.36676/urr.v10.i4.1362

Agarwal, Nishit, Rikab Gunj, Fnu Antara, Pronoy Chopra, A Renuka, and Punit Goel. 2024. "Hyper Parameter Optimization in CNNs for EEG Analysis." Modern Dynamics: Mathematical Progressions 1(2):27. Hyderabad, Telangana, India: Modern Dynamics. doi: https://doi.org/10.36676/mdmp.v1.i2.27. DOI: https://doi.org/10.36676/mdmp.v1.i2.27

"Agarwal, Nishit, Rikab Gunj, Amit Mangal, Swetha Singiri, Akshun Chhapola, and Shalu Jain. 2022. “Self-Supervised Learning for EEG Artifact Detection.” International Journal of Creative Research Thoughts 10(12)

.p. Retrieved from https://www.ijcrt.org/IJCRT2212667."

Agarwal, N., Daram, S., Mehra, A., Goel, O., & Jain, S. (2022). Machine learning for muscle dynamics in spinal cord rehab. International Journal of Computer Science and Engineering (IJCSE), 11(2), 147–178. © IASET. https://www.iaset.us/archives?jname=14_2&year=2022&submit=Search

Agarwal, Nishit, Dheerender Thakur, Kodamasimham Krishna, Punit Goel, and S. P. Singh. 2021. "LLMS for Data Analysis and Client Interaction in MedTech." International Journal of Progressive Research in Engineering Management and Science (IJPREMS) 1(2):33-52. DOI: https://www.doi.org/10.58257/IJPREMS17.

Agarwal, N., Murthy, P., Kumar, R., Goel, O., & Agarwal, R. (2023). Predictive analytics for real-time stress monitoring from BCI. International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET), 11(7), 61. https://www.ijrmeet.org

Agarwal, Nishit, Umababu Chinta, Vijay Bhasker Reddy Bhimanapati, Shubham Jain, and Shalu Jain. 2021. "EEG Based Focus Estimation Model for Wearable Devices." International Research Journal of Modernization in Engineering, Technology and Science 3(11):1436. doi: https://doi.org/10.56726/IRJMETS16996. DOI: https://doi.org/10.56726/IRJMETS16996

Archit Joshi, Vishwas Rao Salunkhe, Shashwat Agrawal, Prof.(Dr) Punit Goel, & Vikhyat Gupta,. (2022). Optimizing Ad Performance Through Direct Links and Native Browser Destinations. International Journal for Research Publication and Seminar, 13(5), 538–571. https://doi.org/10.36676/jrps.v13.i5.1528 DOI: https://doi.org/10.36676/jrps.v13.i5.1528

Archit Joshi, Siddhey Mahadik, Md Abul Khair, Om Goel, & Prof.(Dr.) Arpit Jain. (2024). Leveraging System Browsers for Enhanced Mobile Ad Conversions. Darpan International Research Analysis, 12(1), 180–206. https://doi.org/10.36676/dira.v12.i1.111 DOI: https://doi.org/10.36676/dira.v12.i1.111

Archit Joshi, Rahul Arulkumaran, Nishit Agarwal, Anshika Aggarwal, Prof.(Dr) Punit Goel, & Dr. Alok Gupta. (2023). Cross Market Monetization Strategies Using Google Mobile Ads. Innovative Research Thoughts, 9(1), 480–507. https://doi.org/10.36676/irt.v9.i1.1498 DOI: https://doi.org/10.36676/irt.v9.i1.1498

Archit Joshi, Murali Mohana Krishna Dandu, Vanitha Sivasankaran, A Renuka, & Om Goel. (2023). Improving Delivery App User Experience with Tailored Search Features. Universal Research Reports, 10(2), 611–638. https://doi.org/10.36676/urr.v10.i2.1373 DOI: https://doi.org/10.36676/urr.v10.i2.1373

Archit Joshi, Krishna Kishor Tirupati, Akshun Chhapola, Shalu Jain, & Om Goel,. (2024). Architectural Approaches to Migrating Key Features in Android Apps. Modern Dynamics: Mathematical Progressions, 1(2), 495–539. https://doi.org/10.36676/mdmp.v1.i2.33 DOI: https://doi.org/10.36676/mdmp.v1.i2.33

"Joshi, Archit, Raja Kumar Kolli, Shanmukha Eeti, Punit Goel, Arpit Jain, and Alok Gupta. 2023. ""MVVM in Android UI Libraries: A Case Study of Rearchitecting Messaging SDKs."" International Journal of Progressive Research in Engineering Management and Science 3(12):444-459. https://doi.org/10.58257/IJPREMS32376.

Joshi, Archit, Shreyas Mahimkar, Sumit Shekhar, Om Goel, Arpit Jain, and Aman Shrivastav. 2021. "Deep Linking and User Engagement Enhancing Mobile App Features." International Research Journal of Modernization in Engineering, Technology, and Science 3(11): Article 1624. https://doi.org/10.56726/IRJMETS17273. DOI: https://doi.org/10.56726/IRJMETS17273

Krishna Kishor Tirupati, Siddhey Mahadik, Md Abul Khair, Om Goel, & Prof.(Dr.) Arpit Jain. (2022). Optimizing Machine Learning Models for Predictive Analytics in Cloud Environments. International Journal for Research Publication and Seminar, 13(5), 611–642. https://doi.org/10.36676/jrps.v13.i5.1530 DOI: https://doi.org/10.36676/jrps.v13.i5.1530

Krishna Kishor Tirupati, Rahul Arulkumaran, Nishit Agarwal, Anshika Aggarwal, & Prof.(Dr) Punit Goel. (2024). Integrating Azure Services for Real Time Data Analytics and Big Data Processing. Darpan International Research Analysis, 12(1), 207–232. https://doi.org/10.36676/dira.v12.i1.112 DOI: https://doi.org/10.36676/dira.v12.i1.112

Krishna Kishor Tirupati, Murali Mohana Krishna Dandu, Vanitha Sivasankaran Balasubramaniam, A Renuka, & Om Goel. (2023). End to End Development and Deployment of Predictive Models Using Azure Synapse Analytics. Innovative Research Thoughts, 9(1), 508–537. https://doi.org/10.36676/irt.v9.i1.1499 DOI: https://doi.org/10.36676/irt.v9.i1.1499

Krishna Kishor Tirupati, Archit Joshi, Dr S P Singh, Akshun Chhapola, Shalu Jain, & Dr. Alok Gupta. (2024). Leveraging Power BI for Enhanced Data Visualization and Business Intelligence. Universal Research Reports, 10(2), 676–711. https://doi.org/10.36676/urr.v10.i2.1375 DOI: https://doi.org/10.36676/urr.v10.i2.1375

Krishna Kishor Tirupati, Dr S P Singh, Sivaprasad Nadukuru, Shalu Jain, & Raghav Agarwal. (2024). Improving Database Performance with SQL Server Optimization Techniques. Modern Dynamics: Mathematical Progressions, 1(2), 450–494. https://doi.org/10.36676/mdmp.v1.i2.32 DOI: https://doi.org/10.36676/mdmp.v1.i2.32

Tirupati, Krishna Kishor, Shreyas Mahimkar, Sumit Shekhar, Om Goel, Arpit Jain, and Alok Gupta. 2023. "Advanced Techniques for Data Integration and Management Using Azure Logic Apps and ADF." International Journal of Progressive Research in Engineering Management and Science 3(12):460–475. doi: https://www.doi.org/10.58257/IJPREMS32371.

Tirupati, Krishna Kishor, Venkata Ramanaiah Chintha, Vishesh Narendra Pamadi, Prof. Dr. Punit Goel, Vikhyat Gupta, and Er. Aman Shrivastav. 2021. "Cloud Based Predictive Modeling for Business Applications Using Azure." International Research Journal of Modernization in Engineering, Technology and Science 3(11):1575. https://www.doi.org/10.56726/IRJMETS17271.

Vinayak Pillai (2024). Enhancing data analyst decision-making with reinforcement learning: A comparative study of traditional vs AI-driven approaches. World Journal of Advanced Research and Reviews. V 23, I 2, 1958-1975. DOI: https://doi.org/10.30574/wjarr.2024.23.2.2540

M. Prakash and P. Pabitha. 2020. A hybrid node classification mechanism for influential node prediction in Social Networks. Intell. Data Anal. 24, 4 (2020), 847–871. https://doi.org/10.3233/IDA-194724 DOI: https://doi.org/10.3233/IDA-194724