000			03600nam a22002537a 4500
005			20250616142306.0
008			250616b |||||||| |||| 00| 0 eng d
020			_a9781032832739
082			_a610.285 _bKUM
245			_aArtificial intelligence in medicine and healthcare
260			_bCRC Press _aBoca Raton _c2025
300			_axix, 193 p.
365			_aGBP _b91.99
500			_aTable of Contents: 1. Deep Learning based an Intelligent approach for the Pharmaceutical Drug Discovery and Classification using Fine-Tuned MobileNet and Adamax Optimizer Ravi Sheth, Chandresh Parekha, Ajay Kumar, Lokesh Jain 2. Artificial Intelligence in Improving Disease Diagnosis: Cardiovascular Disease Prediction: A Case Study Abhilash Pati, Santosh Reddy Addula, Amrutanshu Panigrahi, Bibhuprasad Sah, Debasish Swapnesh Kumar Nayak, Manoranjan Das 3. Medical Image Based Pulmonary Disease Prediction Using Bio-Geographical Priyanka Singh, S. Veenadhari 4. Tomato Plant Disease Detection with Pretrained CNNs: Performance Assessment and Visual Presentation: The Review Saurabh Sharma, Gajanand Sharma, Ekta Menghani 5. Detection of Liver Cirrhosis Using Fuzzy Expert System Jyoti, Ramandeep Sandhu, Aarti Shar, Shekhar Swarnkar, Kamlesh Lakhwani 6. An Extensive Survey on Citrus Plant Disease Detection Using Image Processing and Deep Learning Archna Goyal, Kamlesh Lakhwani 7. Predicting Diabetes Using Hybrid Approach of KNN, Random Forest Machine Learning Algorithms Urvashi Rahul Saxena, Rohit Bathla, Sneha Srivastava, Riya Agarwal, Diwakar Rawat 8. Transforming Healthcare through Advanced Federated Learning: Privacy, Performance, and Collaboration Shilpa Singhal, Megha Gupta, Anant Tyagi 9. Application of Artificial Intelligence in Breast Cancer Diagnostics-A Review Padmasini.N, Sairam.V.A , Samyuktha Kapoor , Nithila.J 10. An Enhance Approach of Domain Adaptation based Sentiment Analysis Using Deep Transfer Learning Rati Sharma, Kamlesh Lakhwani
520			_aThis book is discussing artificial intelligence-based smart systems for diagnosis and prediction of diseases, artificial intelligence in clinical decision-making, and artificial intelligence tools for clinical and healthcare data. It further highlights the importance of 5G and 6G communication for telemedicine applications and applications of machine learning and deep learning in pandemic epidemiology. This book: Discusses artificial intelligence-inspired Internet of Things-based solutions, and machine learning modeling for smart healthcare Explains the use of computer vision, natural language processing in healthcare, and artificial intelligence in clinical decision-making Illustrates the role of artificial intelligence in telemedicine applications Examines medical image analysis using machine learning, and deep learning techniques It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields including computer science and engineering, electronics and communications engineering, and biomedical engineering. (https://www.routledge.com/Artificial-Intelligence-in-Medicine-and-Healthcare/Kumar-Rani-Rathee-Hemrajani-Dahiya/p/book/9781032832739)
650			_aMedical informatics
650			_aArtificial intelligence-Medical applications _913887
700			_aKumar, Ajay [Editor] _924541
700			_aRani, Sangeeta [Editor] _924542
700			_aRathee, Sarita [Editor] _924543
700			_aHemrajani, Naveen [Editor] _924544
700			_aDahiya, Mamta [Editor] _924545
942			_cBK _2ddc
999			_c9943 _d9943