Data Science in the Medical Field
Sep 2024 · Elsevier
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Data science has the potential to influence and improve fundamental services such as the healthcare sector. This book recognizes this fact by analyzing the potential uses of data science in healthcare. Every human body produces 2 TB of data each day. This information covers brain activity, stress level, heart rate, blood sugar level, and many other things. More sophisticated technology, such as data science, allows clinicians and researchers to handle such a massive volume of data to track the health of patients. The book focuses on the potential and the tools of data science to identify the signs of illness at an extremely early stage. - Shows how improving automated analytical techniques can be used to generate new information from data for healthcare applications - Combines a number of related fields, with a particular emphasis on machine learning, big data analytics, statistics, pattern recognition, computer vision, and semantic web technologies - Provides information on the cutting-edge data science tools required to accelerate innovation for healthcare organizations and patients by reading this book
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Prof. Seifedine Kadry's research focuses on data science, education using technology, system prognostics, stochastic systems, and applied mathematics. He is an ABET (Accreditation Board for Engineering and Technology) Program Evaluator for computing and engineering technology. He is a Fellow of IET, IETE, and IACSIT. He is a distinguished speaker for the IEEE Computer Society.Dr. Shubham Mahajan is a distinguished academic and professional member of prestigious organizations such as IEEE, ACM, and IAENG. He earned his B.Tech. from Baba Ghulam Shah Badshah University, M.Tech. from Chandigarh University, and Ph.D. from Shri Mata Vaishno Devi University in India. Currently, he is pursuing a Post Doctoral degree in Applied Data Science at Noroff University College in Norway and acts as an assistant professor at Amity University, Haranya, India. Dr. Mahajan specializes in artificial intelligence and image processing, holding eleven Indian patents along with one each from Australia and Germany. His extensive publication record includes over 70 articles in peer-reviewed journals and conferences, covering topics such as image segmentation, data mining, and machine learning. He received the 'Best Research Paper Award' from ICRIC 2019, published in the Springer LNEE series. Throughout his career, Dr. Mahajan has earned numerous accolades, including the Best Student Award and the Emerging Scientist Award. He has also actively represented IEEE as a Campus Ambassador and has fostered international research collaborations. His commitment to advancing knowledge and innovation in his field is evident through his various contributions and achievements.
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