000			03419nam a22002537a 4500
005			20250616125218.0
008			250616b |||||||| |||| 00| 0 eng d
020			_a9781032737171
082			_a610.285 _bGUN
245			_aAdvancing healthcare through data-driven innovations
260			_bCRC Press _aBoca Raton _c2025
300			_axv, 190 p.
365			_aGBP _b115.00
500			_aTable of Contents: Preface 1. Big Data’s Impact on Healthcare Transformation Aaryan Gupta and Aarushi Gupta 2. Artificial Intelligence and Machine Learning Approaches for Healthcare Manjulata Badi 3. Predictive Analytics Tools and Techniques for Disease Prevention and Early Detection in Healthcare Sector Prakash Kuppuswamy, M. Mohan, Sayed QY Al Khalidi and Vijaya Varshini Prakash 4. Machine Learning-Based Analysis for Detection of Pancreatic Adenocarcinoma Using Urinary Biomarkers Shroddha Ghosh, Aleena Swetapadma, Satya Subham Nayak and Biswajit Sahoo 5. Gland Segmentation in Colon Histology Images Using Deep Learning Method Aditi Sharma, Poojasri Inagala, Jayesh Gangrade and Hemlata Parmar 6. Comparative Analysis for Detecting Cancer in Various Organs using Cellular Automata based Segmentation Technique Rupashri Barik, Prakhar Pipersania, Samarpan Chandra, Samudraneel Banerjee, Shalini Basak, Shashwat Jha and Nazma B. J. Naskar 7. Convolutional Neural Networks and Transfer Learning for Medical Image Analysis: A Comprehensive Review Vinay Dubey, Aakansha Gupta and Rahul Katarya 8. Multi-Objective Optimisation Enabled Improved Feature Selection Shreya, Adarsh Kumar Arya, Devanshi Srivastava and Ashish Kapoor 9. IoT-Blockchain in Remote Pregnancy Care Coordination Mohammad Mobarak Hossain, Mahruf Islam Prottoy, Md. Samin Morshed, Dr. Mohammod Abul Kashem and Muhammad Usama Islam 10. Strengthening Healthcare Data Security and Privacy Vibha Jain and Rohit Singh 11. The Future of Healthcare: Data-driven Trends and Innovation Wasswa Shafik Index
520			_aThe book emphasizes the role of data in driving healthcare transformation, providing readers with a roadmap for understanding and effectively implementing data-driven innovations. It delves into the applications of big data analytics, unveiling valuable insights and offering real-time decision support to healthcare professionals and goes on to review the role of machine learning and artificial intelligence in enabling accurate diagnosis, personalized treatment recommendations, and predictive modeling. The book is an invaluable resource for healthcare professionals, researchers, policymakers, and technology enthusiasts alike. Its practical insights and perspectives empower stakeholders to leverage data-driven technologies effectively, thus fostering continuous improvements in patient care and shaping a brighter future for the healthcare industry as a whole. (https://www.routledge.com/Advancing-Healthcare-through-Data-driven-Innovations/Rehani-Gupta-Jain/p/book/9781032737171)
650			_aHealthcare transformation _922854
650			_aArtificial intelligence--Healthcare sector _924310
650			_aMachine learning--Healthcare sector _924526
650			_aIoT-Blockchain--Healthcare sector _924527
700			_aGunjan [Editor] _924528
700			_aGupta, Aditya [Editor] _924529
700			_aJain, Vibha [Editor] _924530
942			_cBK _2ddc
999			_c9947 _d9947