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Next Generation Healthcare

Jyotir Moy Chatterjee
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      Healthcare faces significant challenges due to fragmented data, vendor-locked systems, and security concerns, which hinder the timely delivery of clinical insights and efficient workflow management. This book explores the transformative potential of AI, particularly deep learning (DL) AI, in addressing these issues and enabling personalized healthcare. It covers diverse applications such as clinical trials, telemedicine, EHR management, and disease detection, emphasizing the importance of accurate algorithms to enhance patient outcomes. Key chapters delve into AI's impact on areas like Parkinson's and Alzheimer's detection, the role of blockchain in data integrity, the use of NLP, AR/VR in healthcare, and strategies to combat billing fraud. The book also highlights the importance of diversity in healthcare and presents cutting-edge DL frameworks, such as YOLOv8 and U-Net, for medical image segmentation, offering valuable insights for researchers, practitioners, and policymakers alike.

      Format: Hardback CONTRIBUTORS: Jyotir Moy Chatterjee EAN: 9781036445461 COUNTRY: United Kingdom PAGES: 481 WEIGHT: HEIGHT: 212 mm
      PUBLISHED BY: Cambridge Scholars Publishing DATE PUBLISHED: 2025-06-01 CITY: GENRE: COMPUTERS / Computer Science, COMPUTERS / Distributed Systems / General, COMPUTERS / Blockchain, COMPUTERS / Data Science / Machine Learning WIDTH: 148 mm SPINE:

      Book Themes:

      Distributed ledger technology / blockchain, Computer applications in industry and technology, Machine learning

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      Jyotir Moy Chatterjee is an Assistant Professor in Computer Science and Engineering at Graphic Era University, Dehradun, India, and a visiting faculty member at Lord Buddha Education Foundation, Nepal, affiliated with Asia Pacific University, Malaysia. Previously, he served as Program Leader for BSc IT at the same foundation. Chatterjee holds an MTech in Computer Science from Kalinga Institute of Industrial Technology and a BTech from Dr MGR Educational and Research Institute, both in India. His research focuses on Machine Learning and Deep Learning.Dr Shubham Mahajan is an Assistant Professor at Christ University, Delhi, India, with expertise in AI and image processing. He holds 20 patents and has published 77 papers. Mahajan's research includes image processing, machine learning, and robotics. He has won multiple awards, including the Best Research Paper (2019) and Excellence in Research (2023). Mahajan actively promotes international research collaboration and has represented the Institute of Electrical and Electronics Engineers as a Campus Ambassador.

      Healthcare faces significant challenges due to fragmented data, vendor-locked systems, and security concerns, which hinder the timely delivery of clinical insights and efficient workflow management. This book explores the transformative potential of AI, particularly deep learning (DL) AI, in addressing these issues and enabling personalized healthcare. It covers diverse applications such as clinical trials, telemedicine, EHR management, and disease detection, emphasizing the importance of accurate algorithms to enhance patient outcomes. Key chapters delve into AI's impact on areas like Parkinson's and Alzheimer's detection, the role of blockchain in data integrity, the use of NLP, AR/VR in healthcare, and strategies to combat billing fraud. The book also highlights the importance of diversity in healthcare and presents cutting-edge DL frameworks, such as YOLOv8 and U-Net, for medical image segmentation, offering valuable insights for researchers, practitioners, and policymakers alike.

      Format: Hardback CONTRIBUTORS: Jyotir Moy Chatterjee EAN: 9781036445461 COUNTRY: United Kingdom PAGES: 481 WEIGHT: HEIGHT: 212 mm
      PUBLISHED BY: Cambridge Scholars Publishing DATE PUBLISHED: 2025-06-01 CITY: GENRE: COMPUTERS / Computer Science, COMPUTERS / Distributed Systems / General, COMPUTERS / Blockchain, COMPUTERS / Data Science / Machine Learning WIDTH: 148 mm SPINE:

      Book Themes:

      Distributed ledger technology / blockchain, Computer applications in industry and technology, Machine learning

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      Jyotir Moy Chatterjee is an Assistant Professor in Computer Science and Engineering at Graphic Era University, Dehradun, India, and a visiting faculty member at Lord Buddha Education Foundation, Nepal, affiliated with Asia Pacific University, Malaysia. Previously, he served as Program Leader for BSc IT at the same foundation. Chatterjee holds an MTech in Computer Science from Kalinga Institute of Industrial Technology and a BTech from Dr MGR Educational and Research Institute, both in India. His research focuses on Machine Learning and Deep Learning.Dr Shubham Mahajan is an Assistant Professor at Christ University, Delhi, India, with expertise in AI and image processing. He holds 20 patents and has published 77 papers. Mahajan's research includes image processing, machine learning, and robotics. He has won multiple awards, including the Best Research Paper (2019) and Excellence in Research (2023). Mahajan actively promotes international research collaboration and has represented the Institute of Electrical and Electronics Engineers as a Campus Ambassador.

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