12Health Prediction Analytics Using Deep Learning Methods and Applications

Sapna Jain1*, M. Afshar Alam1, Nevine Makrim Labib2 and Eiad Yafi3

1Department of Computer Science, School of Engineering Sciences & Technology, Jamia Hamdard, Delhi, India

2Department of Computer and Information Systems, Department Sadat Academy for Management Sciences, Cairo, Egypt

3Malaysian Institute of Information Technology, Kuala Lumpur, Malaysia

Abstract

Deep learning (DL) gives you methodologies, approaches, and apparatuses that can help resolving analytic and predictive hitches in a miscellany of medicinal areas and used for the inquiry of the wild of controlled edges and their mixtures for forecast of illness development, elimination of medicinal information for consequence investigation, remedy guidance and provision, and for enduring organization. It is also getting used for statistics examination, consisting of discovery of proportions inside the statistics by way of rightly trade with flawed data, explanation of incessant records used within the strenuous care unit, and brainy troubling next in actual and ordered nursing. Deep learning helps in gaining knowledge is based totally on fashions that have proven their superior potential to research complex patterns from high dimensional, noisy, and temporal EHR information. This chapter presents the methods and applications with their advantages and disadvantages in health prediction analytics. This chapter shall give in-depth details about ...

Get Computational Analysis and Deep Learning for Medical Care now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.