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Deep Learning-Based Predictive Analytics for Personalized Healthcare

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Deep Learning-Based Predictive Analytics for Personalized Healthcare


Mayur Kalubhai Tundiya



Mayur Kalubhai Tundiya "Deep Learning-Based Predictive Analytics for Personalized Healthcare" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-7, December 2022, pp.2329-2336, URL: https://www.ijtsrd.com/papers/ijtsrd52334.pdf

This paper introduces a novel deep learning-based predictive analytics framework aimed at transforming personalized healthcare. By leveraging diverse data sources, including electronic health records (EHRs) and genomic information, the proposed approach predicts patient outcomes with enhanced precision and provides tailored treatment recommendations. The framework’s performance was evaluated on a large-scale EHR dataset, showcasing significant improvements in predictive accuracy and efficiency over traditional machine learning methods. Key findings emphasize the transformative potential of deep learning in delivering proactive, personalized healthcare solutions, ultimately contributing to better patient outcomes and optimized healthcare delivery systems.

Deep Learning, Predictive Analytics, Personalized Healthcare, Electronic Health Records (EHRs), Genomic Data


IJTSRD52334
Volume-6 | Issue-7, December 2022
2329-2336
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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