© The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http:// creat iveco mmons. org/ licen ses/ by/4. 0/. The Creative Commons Public Domain Dedication waiver (http:// creat iveco mmons. org/ publi cdoma in/ zero/1. 0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. EDITORIAL Williams and Moore BioData Mining (2023) 16:9 https://doi.org/10.1186/s13040-023-00327-z BioData Mining
Genetics and precision health: the ecological fallacy and artificial intelligence solutions
Scott M. Williams,Jason H. Moore
Published 2023 in BioData Mining
ABSTRACT
PUBLICATION RECORD
- Publication year
2023
- Venue
BioData Mining
- Publication date
2023-03-13
- Fields of study
Biology, Medicine, Computer Science, Environmental Science
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
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