Data-Driven Exploration of Brain Structure Using Statistical Machine Learning: Validity of Derived Diagnostic Patterns in Alcohol Use Disorder and Human Immunodeficiency Virus Infection
- PMID: 31176386
- PMCID: PMC12082336
- DOI: 10.1016/j.bpsc.2019.04.008
Data-Driven Exploration of Brain Structure Using Statistical Machine Learning: Validity of Derived Diagnostic Patterns in Alcohol Use Disorder and Human Immunodeficiency Virus Infection
Comment on
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Novel Machine Learning Identifies Brain Patterns Distinguishing Diagnostic Membership of Human Immunodeficiency Virus, Alcoholism, and Their Comorbidity of Individuals.Biol Psychiatry Cogn Neurosci Neuroimaging. 2019 Jun;4(6):589-599. doi: 10.1016/j.bpsc.2019.02.003. Epub 2019 Mar 1. Biol Psychiatry Cogn Neurosci Neuroimaging. 2019. PMID: 30982583 Free PMC article.
References
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- Smith SM, Nichols TE (2018): Statistical challenges in “big data” human neuroimaging. Neuron 97:263–268. - PubMed
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