
Data-Driven Diagnostics and Disease Prediction with AI Optimization
- 1st Edition - October 1, 2025
- Imprint: Academic Press
- Editors: Shailendra Pratap Singh, Prabhishek Singh, Manoj Diwakar, Vinayakumar Ravi
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 2 6 7 4 7 - 5
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 6 7 4 8 - 2
Data-Driven Diagnostics and Disease Prediction with AI Optimization provides useful insights into model creation, data preparation, and ethical issues for healthcare applic… Read more

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Request a sales quote- Provides a complete overview of the challenges and pain points in implementing AI-driven diagnostics and disease prediction within the healthcare industry
- Explores various edge computing applications in healthcare and the use of hardware acceleration for AI applications
- Presents a comprehensive resource that bridges the gap between AI and healthcare
2. The Importance of Diagnostics and Disease Prediction for Real World Data Sets.
3. Neural Networks and Deep Learning Frameworks
4. Deep Learning Architectures for Healthcare and Types of Healthcare Data, Data Collection and Sources
5. Data Pre-processing and Cleaning , Handling Data Privacy and Security
6. Building Machine Learning Models: Supervised Learning for Diagnostics and Unsupervised Learning for Disease Prediction
7. Building Deep Learning Models: Convolutional Neural Networks (CNNs) for image analysis from Healthcare Sectors
8. Recurrent Neural Networks (RNNs) for time-series data Transfer learning and pretrained models
9. Natural Language Processing for Healthcare Texts
10. Predictive Modeling for Early Disease Detection
11. Telemedicine and Remote Diagnostics
12. Ensuring Patient Privacy, Informed Consent, Ethical and Regulatory Considerations
13. Future Trends and Innovations in Healthcare AI, Quantum Computing, and Edge Computing
14. Multimodal Data Fusion for Enhanced Diagnostics
- Edition: 1
- Published: October 1, 2025
- Imprint: Academic Press
- No. of pages: 300
- Language: English
- Paperback ISBN: 9780443267475
- eBook ISBN: 9780443267482
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Shailendra Pratap Singh
SHAILENDRA PRATAP SINGH is currently working as an School of Computer Science Engineering and Technology at Bennett University, Greater Noida-201310, U.P., India. Shailendra Pratap Singh received his Ph.D. degree in Computer Science and Engineering from MNNIT Allahabad, Prayagraj, U.P., in 2017. He is currently working as an Associate Professor in the School of Computer Science, Engineering, and Technology at Bennett University, Greater Noida, U.P., India. He is the author of more than 45 articles and has invented more than two inventions. His research interests include optimization, software engineering, machine learning, and IoT applications.
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Prabhishek Singh
Dr. Prabhishek Singh is working (Senior IEEE Member) as an Assistant Professor in School of Computer Science Engineering and Technology, Bennett University (Times of India Group), Greater Noida, India since 2022. He has total teaching and research experience of 8 years. He did his Ph.D. in 2018. He did his M. Tech in 2013, and B.Tech in 2010. He is also awarded with young scientist award and excellent researcher award. He has published 100+ research papers in SCI/SCIE/Scopus, ESCI journals, and conferences. His research interest includes Image Processing and Computer Vision, Deep Learning, and Machine Learning. He is serving as an Associate Editor, Academic Editor, Review Editor, Guest Editor, Reviewer, and Editorial Committee Chair of many SCI/SCIE/Scopus and ESCI journals, and other prestigious conferences.
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Manoj Diwakar
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