Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Machine Learning in Biomedical and Health Informatics: Current Applications and Challenges

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

Sahana, Sudip Kumar
Mukherjee, Rajendrani
Choudhury, Panchali Datta

Hardcover

Series: Aap Research Notes on Optimization and Decision Making Theories

Technology & EngineeringGeneral Computers

ISBN10: 1774919540
ISBN13: 9781774919545
Publisher: Apple Academic Press
Published: Sep 23 2025
Pages: 266
Weight: 1.29
Height: 0.69 Width: 6.14 Depth: 9.21
Language: English
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.

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