Advancing healthcare through data-driven innovations  

 - Boca Raton  CRC Press  2025 
 - xv, 190 p. 
<br/><br/> Table of Contents:<br/><br/>Preface<br/><br/>1. Big Data’s Impact on Healthcare Transformation<br/><br/>Aaryan Gupta and Aarushi Gupta<br/><br/>2. Artificial Intelligence and Machine Learning Approaches for Healthcare<br/><br/>Manjulata Badi<br/><br/>3. Predictive Analytics Tools and Techniques for Disease Prevention and Early Detection in Healthcare Sector<br/><br/>Prakash Kuppuswamy, M. Mohan, Sayed QY Al Khalidi and Vijaya Varshini Prakash<br/><br/>4. Machine Learning-Based Analysis for Detection of Pancreatic Adenocarcinoma Using Urinary Biomarkers<br/><br/>Shroddha Ghosh, Aleena Swetapadma, Satya Subham Nayak and Biswajit Sahoo<br/><br/>5. Gland Segmentation in Colon Histology Images Using Deep Learning Method<br/><br/>Aditi Sharma, Poojasri Inagala, Jayesh Gangrade and Hemlata Parmar<br/><br/>6. Comparative Analysis for Detecting Cancer in Various Organs using Cellular Automata based Segmentation Technique<br/><br/>Rupashri Barik, Prakhar Pipersania, Samarpan Chandra, Samudraneel Banerjee, Shalini Basak, Shashwat Jha and Nazma B. J. Naskar<br/><br/>7. Convolutional Neural Networks and Transfer Learning for Medical Image Analysis: A Comprehensive Review<br/><br/>Vinay Dubey, Aakansha Gupta and Rahul Katarya<br/><br/>8. Multi-Objective Optimisation Enabled Improved Feature Selection<br/><br/>Shreya, Adarsh Kumar Arya, Devanshi Srivastava and Ashish Kapoor<br/><br/>9. IoT-Blockchain in Remote Pregnancy Care Coordination<br/><br/>Mohammad Mobarak Hossain, Mahruf Islam Prottoy, Md. Samin Morshed, Dr. Mohammod Abul Kashem<br/><br/>and Muhammad Usama Islam<br/><br/>10. Strengthening Healthcare Data Security and Privacy<br/><br/>Vibha Jain and Rohit Singh<br/><br/>11. The Future of Healthcare: Data-driven Trends and Innovation<br/><br/>Wasswa Shafik<br/><br/>Index 
<br/><br/> The 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.<br/><br/>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.<br/><br/>(https://www.routledge.com/Advancing-Healthcare-through-Data-driven-Innovations/Rehani-Gupta-Jain/p/book/9781032737171) 
<br/><br/><label>ISBN: </label>9781032737171 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Healthcare transformation<br/>Artificial intelligence--Healthcare sector<br/>Machine learning--Healthcare sector<br/>IoT-Blockchain--Healthcare sector
<br/><br/><label>Dewey Class. No.: </label>610.285  / GUN