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Machine Learning and Deep Learning Modeling and Algorithms with Applications in Medical and Health Care
Editor
Listed:
- Manoj Diwakar(Graphic Era University)Vinayakumar Ravi(Prince Mohammad bin Fahd University)Prabhishek Singh(Bennett University)Hoang Pham(Rutgers University)
Abstract
No abstract is available for this item.Individual chapters are listed in the "Chapters" tab
Suggested Citation
- Manoj Diwakar & Vinayakumar Ravi & Prabhishek Singh & Hoang Pham (ed.), 2025. "Machine Learning and Deep Learning Modeling and Algorithms with Applications in Medical and Health Care," Springer Series in Reliability Engineering, Springer, number 978-3-031-98728-1, July.
Handle: RePEc:spr:ssreng:978-3-031-98728-1
DOI: 10.1007/978-3-031-98728-1Download full text from publisher
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3. Perform a for a similarly titled item that would be available.Book Chapters
The following chapters of this book are listed in IDEAS- A. P. Yeshwanth Balaji & T. R. Eshwanth Karti & K. Nithish Ariyha & J. Vikash & G. Jyothish Lal, 2025. "Enhancing Dysarthric Speech for Improved Clinical Communication: A Deep Learning Approach," Springer Series in Reliability Engineering,, Springer.
- Tarun Sunil & K. Vinod & M. Madhav & Joshua Abraham & G. Jyothish Lal, 2025. "Speech-Based Real-World Scene Understanding for Assistive Care of the Visually Impaired," Springer Series in Reliability Engineering,, Springer.
- Salma Sabrou & Azidine Guezzaz & Shubashini Rathina Velu & Said Benkirane & Mohamed Eddabbah & Mourade Azrour, 2025. "Medical Image Segmentation with Deep Learning: An Overview," Springer Series in Reliability Engineering,, Springer.
- T. Taruneshwaran & Sanjay Chidambaram & Parthvi Manoj & S. Sakthi Swaroopan & Sasidharan Divya & V. Sowmya & Vinayakumar Ravi, 2025. "Lightweight Generative Model for Synthetic Biomedical Images with Enhanced Quality," Springer Series in Reliability Engineering,, Springer.
- K. Jaidev & M. Vignesh & R. Raveena & Divya Sasidharan & V. Sowmya & Vinayakumar Ravi, 2025. "Pediatric Dental Disease Detection Using X-Ray Image Enhancements and Deep Learning Algorithms," Springer Series in Reliability Engineering,, Springer.
- Gloria F. Nkondo & U. Snekhalatha & Shubashini Rathina Velu, 2025. "Evaluation of Parkinson Disease from MRI Images Using Deep Learning Techniques," Springer Series in Reliability Engineering,, Springer.
- R. Megha & Divya Sasidharan & V. Sowmya & Vinayakumar Ravi, 2025. "Analyzing the Effect of Eyes Open and Eyes Closed States on EEG in Parkinson’s Disease with ON and OFF Medication," Springer Series in Reliability Engineering,, Springer.
- Ravuri Daniel & Kilari Jyothsna Devi & Bode Prasad & B. Ratna Sunil & G. Naga Deekshitha, 2025. "Automated Detection of Diabetic Retinopathy Using ResNet-50 Deep Learning Model," Springer Series in Reliability Engineering,, Springer.
- Akash Sasikumar & Divya Sasidharan & V. Sowmya & Vinayakumar Ravi, 2025. "Deep Learning Model for Decoding Subcortical Brain Activity from Simultaneous EEG-FMRI Multi-modal Data," Springer Series in Reliability Engineering,, Springer.
- Kilari Jyothsna Devi & Ravuri Daniel & Bode Prasad & B. Ratna Sunil, 2025. "Secure Transmission of Medical Images in IoMT for Smart Cities Using Data Hiding Scheme," Springer Series in Reliability Engineering,, Springer.
- B. S. Prashanth & M. V. Manoj Kumar & G. Skhanda Kumar & Rohan Hegde & Sharan Harish & Shalom Vinod, 2025. "Deep Learning Approaches to Heart Stroke Prediction: Model Evaluation and Insights," Springer Series in Reliability Engineering,, Springer.
- M. V. Manoj Kumar & H. R. Sneha & B. S. Prashanth & Vishnu Srinivasa Murthy, 2025. "Harnessing Predictive Modeling Techniques for Early Detection and Management of Diseases: Challenges, Innovations, and Future Directions," Springer Series in Reliability Engineering,, Springer.
- Swapna Katta & Prabhishek Singh & Deepak Garg & Manoj Diwakar, 2025. "Fundamentals of Machine Learning and Deep Learning for Healthcare Applications," Springer Series in Reliability Engineering,, Springer.
- Harendra Singh Negi & Bhawnesh Kumar & Manoj Diwakar & Prabhishek Singh & Tinku Singh & Ishwari Singh Rajput, 2025. "Automatic Detection of Parkinson Disease Through Various Machine Learning Models," Springer Series in Reliability Engineering,, Springer.
- Anuradha Dhull & Anirudh Kataria & Manya Kalra & Akansha Singh, 2025. "Transforming Healthcare: The Role of AI and ML in Disease Prediction, Treatment, and Patient Satisfaction," Springer Series in Reliability Engineering,, Springer.
- Chaitanya Krishna Kasaraneni & Keerthi Guttikonda & Revanth Madamala, 2025. "Multi-modality Medical (CT, MRI, Ultrasound Etc.) Image Fusion Using Machine Learning/Deep Learning," Springer Series in Reliability Engineering,, Springer.
- Anshika Arora & Deepika Vatsa & Aryan Srivastava & Harsh Vardhan Chauhan & Abhay Pratap, 2025. "Leveraging Digital Devices for Objective Behavioral Health Assessment: Computational Machine Learning Methods for Sleep and Mental Health Evaluation," Springer Series in Reliability Engineering,, Springer.
- Manoj Kumar Singh & Vaishali Bhargava & Nidhi Sharma & Vipin Kumar Sharma & Yogita Kaushik & Arnav Kaushik & Jyotsna Ghildiyal Bijawan, 2025. "Optimizing Medical Image Quality Through Hybrid Machine Learning Techniques and Convolutional Denoising Autoencoders," Springer Series in Reliability Engineering,, Springer.
- Pradeep Kumar Tripathi & Sarvachan Verma & Birendra Kumar & Achintya Kumar Pandey & Pankaj Singh & Jagendra Singh & Jyotsna Ghildiyal Bijawan, 2025. "Image Segmentation in Multimodal Medical Imaging Using Deep Learning Models," Springer Series in Reliability Engineering,, Springer.
- Ajay Krishan Gairola & Vidit Kumar & Ashok Kumar Sahoo & Manoj Diwakar & Prabhishek Singh & Anchit Bijalwan, 2025. "Brain MRI Analysis for Multiple Sclerosis Detection Using Deep Learning Techniques," Springer Series in Reliability Engineering,, Springer.
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