Data Science in the Medical Field

1. PPH 4.0: a privacy-preserving health 4.0 framework with machine learning and cellular automata<br>2. An automatic detection and severity levels of COVID-19 using convolutional neural network models<br>3. Biosensors and disease diagnostics in medical field<br>4. Brain tumor recognition and classification techniques<br>5. Identifying the features and attributes of various artificial intelligence-based healthcare models<br>6. Classification algorithms and optimization techniques in healthcare systems representation of dataset in medical applications<br>7. A knowledge discovery framework for COVID-19 disease from PubMed abstract using association rule hypergraph<br>8. Predictive analysis in healthcare using data science: leveraging big data for improved patient care<br>9. Data science in medical field: advantages, challenges, and opportunities<br>10. Decentralizing healthcare through parallel blockchain architecture: transmitting internet of medical things data through smart contracts in telecare medical information systems<br>11. Machine learning in heart disease prediction<br>12. U-Net-based approaches for brain tumor segmentation<br>13. Explainable image recognition models for aiding radiologists in clinical decision making<br>14. Prediction of heart failure disease using classification algorithms along with performance parameters<br>15. Cancer survival prediction using artificial intelligence: current status and future prospects<br>16. Heart disease prediction in pregnant women with diabetes using machine learning<br>17. Healthcare using image recognition technology<br>18. Integration of deep learning and blockchain technology for a smart healthcare record management system<br>19. Internet of things based smart health and attendance monitoring system in an institution for COVID-19<br>20. Medical diagnosis using image processing techniques<br>21. Harnessing the potential of predictive analytics and machine learning in healthcare: empowering clinical research and patient care<br>22. Predictive analysis in healthcare using data science<br>23. Recommender systems in healthcare—an emerging technology<br>24. Robotics: challenges and opportunities in healthcare<br>25. A new era of the healthcare industry using Internet of Medical Things<br>26. Single cell genomics unleashed: exploring the landscape of endometriosis with machine learning, gene expression profiling, and therapeutic target discovery<br>27. Analyzing the success of the thriving machine prediction model for Parkinson&rsquo;s disease prognosis: a comprehensive review