Data Science in the Medical Field

1. PPH 4.0: A privacy-preserving Health 4.0 framework with ML and CA
Anabik Pal, Arnab Mitra

2. An Automatic Detection and Severity Levels of Covid-19 Using CNN Models
Kuppusamy P, Samba Siva Krishna Assish Yellepeddi

3. Biosensors & Disease Diagnostics in Medical Field
Komal Arora, Deepika Ghai, Ramandeep Sandhu, Suman Lata Tripathi, Kanav Dhir, Harpreet Kaur Channi

4. Brain Tumor Recognition and Classification Techniques
Mohamad El-Abed, Roaa Soloh, Ali Rammal

5. Identifying the Features and Attributes of various AI-based Healthcare Models
Nisha Soms, Naveenkumar M, Abhinaya A Saravanan, David Samuel Azariya S

6. Classification in Medical Applications Data Set Using Optimization Techniques
Arun Sampaul Thomas, Saravanan Krishnan, Kapil Joshi, Deivendran Periyamuthu, Muthukaruppasamy S

7. A Knowledge Discovery framework for Coronavirus Disease 2019 (COVID -19) disease from PubMed Abstract using Association Rule Hypergraph (AR-Hypergraph)
Subbulakshmi Pasupathi, Prasun Chakrabarti, Kaliappan Madasamy, Pradeepa S, Janmenjoy Nayak, Vimal S

8. Predictive Analysis in Healthcare Using Data Science: Leveraging Big Data for Improved Patient Care
Kamil Khondakar, Suman Saha, Supriya Rajak, Hirak Mazumdar

9. Data Science in Medical Field: Advantages, Challenges and Opportunities
Geetha S, V. Venkatesan, Madhusudanan J.

10. Decentralizing Healthcare Through Parallel Blockchain Architecture: Transmitting IoMT Data Through Smart Contracts in Telecare Medical Information Systems
Sebastian Melbye, Sahar Yassine

11. Machine Learning in Heart Disease Prediction
Asis A, Praveen Rajendran, Delshi Howsalya Devi R

12. Au-Net Based Approaches for Brain Tumor Segmentation
Vegard Eikenes

13. Explainable Image Recognition Models for Aiding Radiologists in Clinical Decision-Making
Rahul Frost, Feron Sagayaradjy, Abarna Vasanth, Feroz, Auxilia Michael

14. Prediction of heart failure disease using classification algorithms along with performance parameters
C Rajeev, Karthika Natarajan

15. Cancer Survival Prediction Using Artificial Intelligence: Current Status and Future Prospects
Rashid Ali, Hasan Shaikh

16. Heart Disease Prediction in Pregnant Women with Diabetes Using Machine Learning
Contributors: Kaviya V, Yogeshwar Prakash, Karthikeyan BM

17. Health Care Using Image Recognition Technology
Tejaswi Jonna, Karthika Natarajan

18. Integration of Deep Learning and Blockchain Technology for a Smart Healthcare Record Management System
Sujatha Rajkumar, Vinod Salunkhe, Vandana Mansur, Akshat Akshat, Yashraj Motwani, Thomas Chen

19. IoT-Based Smart Health and Attendance Monitoring System in an Institution for Covid-19
Senthilkumar Subramaniyan, Arun Kumar C M, C. Kavitha

20. Medical Diagnosis Using Image Processing Techniques
Contributors: Aavampreet Kour

21. Harnessing the Potential of Predictive Analytics and Machine Learning in Healthcare: Empowering Clinical Research and Patient Care
Muthukaruppasamy S, Arun Sampaul Thomas, G. Sudha, Saravanan Krishnan, Deivendran Periyamuthu

22. Predictive analysis in healthcare using Data Science
Balakrishnan D, Aarthy Aarthy, Nandhagopal S

23. Recommender Systems in Health Care- An Emerging Technology
Kusumalatha Karre, Ramadevi Y

24. Robotics: Challenges and Opportunities in Healthcare
Ruby Pant, Kapil Joshi

25. A new era of the healthcare industry using IoT: Internet of Medical Things (IoMT)
Sapna Jain, Parul Agarwal, Saima Naaz, Hamnah Rao, Ahmed Obaid

26. Single Cell Genomics Unleashed: Exploring the Landscape of Endometriosis with Machine Learning, Gene Expression Profiling, and Therapeutic Target Discovery
Sudip Mondal

27. Analyzing the Success of the Thriving Machine Prediction Model (TMPM) for Parkinson’s Disease Prognosis: A Comprehensive Review
Marion Adebiyi, Moses Abiodun, Prisca Olawoye