Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning, 1st Edition

  • Geeta Rani
  • Pradeep Kumar Tiwari
  • Published By:
  • ISBN-10: 1799827437
  • ISBN-13: 9781799827436
  • DDC: 616.0072
  • 586 Pages | eBook
  • Original Copyright 2021 | Published/Released January 2021
  • This publication's content originally published in print form: 2021

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By applying data analytics techniques and machine learning algorithms to predict disease, medical practitioners can more accurately diagnose and treat patients. However, researchers face problems in identifying suitable algorithms for pre-processing, transformations, and the integration of clinical data in a single module, as well as seeking different ways to build and evaluate models. This book is a pivotal reference source that explores the application of algorithms to making disease predictions through the identification of symptoms and information retrieval from images such as MRIs, ECGs, EEGs, etc. Highlighting a wide range of topics including clinical decision support systems, biomedical image analysis, and prediction models, this book is ideally designed for clinicians, physicians, programmers, computer engineers, IT specialists, data analysts, hospital administrators, researchers, academicians, and graduate and post-graduate students.