Data Science in the Medical Field

Seifedine Kadry is a Professor in the Department of Mathematics and Computer Science, at Norrof University College, in Norway. He has a Bachelor’s degree in 1999 from Lebanese University, MS degree in 2002 from Reims University (France) and EPFL (Lausanne), PhD in 2007 from Blaise Pascal University (France), HDR degree in 2017 from Rouen University. At present, his research focuses on data Science, education using technology, system prognostics, stochastic systems, and applied mathematics. He is an ABET program evaluator for computing, and ABET program evaluator for Engineering Tech. He is a Fellow of IET, Fellow of IETE, and Fellow of IACSIT. He is a distinguished speaker of IEEE Computer Society.Dr. Shubham Mahajan is a respected academic and researcher, and a member of well-known professional organizations like IEEE, ACM, and IAENG. He completed his B.Tech. from Baba Ghulam Shah Badshah University, his M.Tech. from Chandigarh University, and his Ph.D. from Shri Mata Vaishno Devi University (SMVDU), Katra. He is currently working as an Assistant Professor at Amity University, Haryana.Dr. Mahajan has made strong contributions in the fields of artificial intelligence and image processing. He holds nineteen Indian patents, along with one Australian and one German patent. He has published more than 103 research papers in national and international journals and conferences, including 55 in SCIE journals and 48 indexed by Scopus. He has also edited 10 Scopus-indexed books. His research areas include image processing, video compression, image segmentation, fuzzy entropy, nature-inspired algorithms, optimization, data mining, machine learning, robotics, and optical communication. He won the Best Research Paper Award at ICRIC 2019 (Springer LNEE series).Throughout his career, Dr. Mahajan has received many awards, such as the Best Student Award (2019), IEEE Region-10 Travel Grant (2019), 2nd runner-up in IEEE RAS Hackathon (2019, Bangladesh), IEEE SERCF (2020), Emerging Scientist Award (2021), and the IEEE SPS Professional Development Grant (2021). He also received the Excellence in Research Award in 2023.Beyond research, Dr. Mahajan has contributed to the academic community in many ways. He has worked as a Campus Ambassador for IEEE at top institutions like IIT Bombay, IIT Kanpur, IIT Varanasi, and IIT Delhi, as well as for several multinational companies. He is active in promoting international research collaborations and serves on Technical Program Committees and Editorial Boards of various international conferences and journals.

• 1. PPH 4.0: a privacy-preserving health 4.0 framework with machine learning and cellular automata2. An automatic detection and severity levels of COVID-19 using convolutional neural network models3. Biosensors and disease diagnostics in medical field4. Brain tumor recognition and classification techniques5. Identifying the features and attributes of various artificial intelligence-based healthcare models6. Classification algorithms and optimization techniques in healthcare systems representation of dataset in medical applications7. A knowledge discovery framework for COVID-19 disease from PubMed abstract using association rule hypergraph8. Predictive analysis in healthcare using data science: leveraging big data for improved patient care9. Data science in medical field: advantages, challenges, and opportunities10. Decentralizing healthcare through parallel blockchain architecture: transmitting internet of medical things data through smart contracts in telecare medical information systems11. Machine learning in heart disease prediction12. U-Net-based approaches for brain tumor segmentation13. Explainable image recognition models for aiding radiologists in clinical decision making14. Prediction of heart failure disease using classification algorithms along with performance parameters15. Cancer survival prediction using artificial intelligence: current status and future prospects16. Heart disease prediction in pregnant women with diabetes using machine learning17. Healthcare using image recognition technology18. Integration of deep learning and blockchain technology for a smart healthcare record management system19. Internet of things based smart health and attendance monitoring system in an institution for COVID-1920. Medical diagnosis using image processing techniques21. Harnessing the potential of predictive analytics and machine learning in healthcare: empowering clinical research and patient care22. Predictive analysis in healthcare using data science23. Recommender systems in healthcare—an emerging technology24. Robotics: challenges and opportunities in healthcare25. A new era of the healthcare industry using Internet of Medical Things26. Single cell genomics unleashed: exploring the landscape of endometriosis with machine learning, gene expression profiling, and therapeutic target discovery27. Analyzing the success of the thriving machine prediction model for Parkinson’s disease prognosis: a comprehensive review