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
- Sakshi Pant
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