Deep Learning for Personalized Healthcare Recommendations

Personalized healthcare refers to an evolving paradigm of providing appropriate medical treatments based on the particularities of the individual patient, where evidence-based management is enhanced with the use of technologies. Deep learning (DL) is placed within the umbrella of efficient systems known as artificial intelligence (AI), it assists in performing data processing with more accuracy, and making suggestions based on the unique health information of the health record e.g. EHRs, images and genetic data among others. This article gives an overview of deep learning techniques in developing personalized healthcare recommendations, including the major achieved algorithms, data sources and existing issues. and future work in exploring the ways deep learning can be harnessed for the development of personalized healthcare systems are presented.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2024-11-11
DOI
https://doi.org/10.22214/ijraset.2024.65093
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

Deep Learning for Personalized Healthcare Recommendations

Sakshi Pant
International Journal for Research in Applied Science and Engineering Technology
Machine Learning in Healthcare
article

Deep Learning for Personalized Healthcare Recommendations

Sakshi Pant
article en

Abstract

Personalized healthcare refers to an evolving paradigm of providing appropriate medical treatments based on the particularities of the individual patient, where evidence-based management is enhanced with the use of technologies. Deep learning (DL) is placed within the umbrella of efficient systems known as artificial intelligence (AI), it assists in performing data processing with more accuracy, and making suggestions based on the unique health information of the health record e.g. EHRs, images and genetic data among others. This article gives an overview of deep learning techniques in developing personalized healthcare recommendations, including the major achieved algorithms, data sources and existing issues. and future work in exploring the ways deep learning can be harnessed for the development of personalized healthcare systems are presented.

International Journal for Research in Applied Science and Engineering TechnologyVol. 12(11)
Industry, innovation and infrastructure
Openalex Percentile: Top 82%
Machine Learning in Healthcare
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