Identifying Depression Through Machine Learning Analysis of Omics Data: Scoping Review

Taylor, B., Hobensack, M., Niño de Rivera, S., Zhao, Y., Masterson Creber, R., & Cato, K. (2024). Identifying Depression Through Machine Learning Analysis of Omics Data: Scoping Review. JMIR Nursing, 7, e54810. https://doi.org/10.2196/54810
Authors:
Brittany Taylor
Mollie Hobensack
Stephanie Niño de Rivera
Yihong Zhao
Ruth Masterson Creber
Kenrick Cato
Affiliated Authors:
Brittany Taylor
Stephanie Niño de Rivera
Yihong Zhao
Ruth Masterson Creber
Columbia Affiliation:
Subjects:
Machine Learning (MeSH)
Depression (MeSH)
Author Keywords:
depression
machine learning
mental health
nurses
omics
review
elink
Publication Type:
Article
Unique ID:
10.2196/54810
PMID:
39028994
DOI:
10.2196/54810
Journal:
JMIR Nursing
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record

Record Created: