Machine Learning in Biomedical and Health Informatics: Current Applications and Challenges

Sudip Kumar Sahana (Curatore)

Rajendrani Mukherjee (Curatore)

Apple Academic Press Inc., 2025

Machine learning is playing an indispensable role in framing clinical decisions and enhancing accuracy. This new book offers a comprehensive take on the field of biomedical and health informatics, discussing topics that include predictive health analytics, pandemic management, AI ethics, application and integration of Internet of Things and machine learning for effective healthcare, and more. The book covers a range of bioinformatics tools and methods and their relation to drug designing and drug screening using ML. Several chapters cover clustering techniques and other methods for analyzing human heart-related disorders. The authors also explore the use of ML in creating adaptive therapies for using chemotherapy and androgen deprivation therapy for prostate cancer and for tracking diseases such as Parkinson’s Speech, Covid-19, and others. Case studies are included that demonstrate the practical use of ML in healthcare informatics.

• Curatore: Sudip Kumar Sahana, Rajendrani Mukherjee
• Editore: Apple Academic Press Inc.
• Collana: AAP Research Notes on Optimization and Decision Making Theories
• Anno: 2025
• Rilegatura: Hardback
• Pagine: 266 p.
• Dimensioni: 234 x 156 mm
• Peso: 700 gr.
• EAN: 9781774919545

Testo in English