# Artificial Intelligence in Healthcare

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/artificial-intelligence-in-healthcare-2/

## Facts

| Field | Value |
| --- | --- |
| Citations | 538,170 |
| Description | This cluster of papers focuses on the application of machine learning, big data analytics, and data mining techniques in healthcare and medicine. It covers topics such as medical diagnosis, classification models, heart disease prediction, and the use of support vector machines and logistic regression. The cluster emphasizes the potential of machine learning in improving healthcare outcomes through advanced data analysis. |
| Domain | Health Sciences |
| Field | Health Professions |
| OpenAlex ID | https://openalex.org/T11396 |
| Works | 79,769 |

## Topic researchers

Showing 12 of 20.

- [Jost B. Jonas](https://scholariq.org/researchers/jost-b-jonas/)
- [Frank B. Hu](https://scholariq.org/researchers/frank-b-hu/)
- [Ralph B. D’Agostino](https://scholariq.org/researchers/ralph-b-d-agostino/)
- [Daniel Levy](https://scholariq.org/researchers/daniel-levy/)
- [Derrick Bennett](https://scholariq.org/researchers/derrick-bennett/)
- [Kaj Blennow](https://scholariq.org/researchers/kaj-blennow/)
- [John C. Morris](https://scholariq.org/researchers/john-c-morris/)
- [Tien Yin Wong](https://scholariq.org/researchers/tien-yin-wong/)
- [Kai Wang](https://scholariq.org/researchers/kai-wang-2/)
- [Nicholas J. Wareham](https://scholariq.org/researchers/nicholas-j-wareham/)
- [Clifford R. Jack](https://scholariq.org/researchers/clifford-r-jack/)
- [Aziz Sheikh](https://scholariq.org/researchers/aziz-sheikh/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.