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Prediction in Medicine: The Impact of Machine Learning on Healthcare

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Title: Prediction in Medicine: The Impact of Machine Learning on Healthcare
Description: Prediction in Medicine: The Impact of Machine Learning on Healthcare explores the transformative power of advanced data analytics and machine learning in healthcare. This comprehensive guide covers predictive analysis, leveraging electronic health records (EHRs) and wearable devices to optimize patient care and healthcare planning. Key topics include disease diagnosis, risk assessment, and precision medicine advancements in cardiovascular health and hypertension management.The book also addresses challenges in interpreting clinical data and navigating ethical considerations. It examines the role of AI in healthcare emergencies and infectious disease management, highlighting the integration of diverse data sources like medical imaging and genomic data. Prediction in Medicine is essential for students, researchers, healthcare professionals, and general readers interested in the future of healthcare and technological innovation.
Authors: Neeta, Verma, Anjali, Singhal, Vijai, Singh, Manoj, Kumar
Resource Type: eBook.
Subjects: Computer vision, Computers, Artificial intelligence--Medical applications, Artificial intelligence, Pattern recognition systems, Electronic books
Categories: COMPUTERS / Data Science / Machine Learning, TECHNOLOGY & ENGINEERING / Biomedical
Database: eBook Collection (EBSCOhost)
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DbLabel: eBook Collection (EBSCOhost)
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PubType: eBook
PubTypeId: ebook
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  Data: Prediction in Medicine: The Impact of Machine Learning on Healthcare
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  Data: Prediction in Medicine: The Impact of Machine Learning on Healthcare explores the transformative power of advanced data analytics and machine learning in healthcare. This comprehensive guide covers predictive analysis, leveraging electronic health records (EHRs) and wearable devices to optimize patient care and healthcare planning. Key topics include disease diagnosis, risk assessment, and precision medicine advancements in cardiovascular health and hypertension management.The book also addresses challenges in interpreting clinical data and navigating ethical considerations. It examines the role of AI in healthcare emergencies and infectious disease management, highlighting the integration of diverse data sources like medical imaging and genomic data. Prediction in Medicine is essential for students, researchers, healthcare professionals, and general readers interested in the future of healthcare and technological innovation.
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RecordInfo BibRecord:
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      – Code: 610.285
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        Type: prePub
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      – Code: eng
        Text: English
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      – SubjectFull: Computer vision
        Type: general
      – SubjectFull: Computers
        Type: general
      – SubjectFull: Artificial intelligence--Medical applications
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Pattern recognition systems
        Type: general
      – SubjectFull: Electronic books
        Type: general
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      – TitleFull: Prediction in Medicine: The Impact of Machine Learning on Healthcare
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2024
            – D: 12
              M: 12
              Type: profile
              Y: 2025
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              Value: 9789815305135
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              Value: 9789815305128
          Titles:
            – TitleFull: Prediction in Medicine: The Impact of Machine Learning on Healthcare
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