Counterfactual inference with latent variable and its application in mental health care

Author:

Marchezini Guilherme F.,Lacerda Anisio M.,Pappa Gisele L.ORCID,Meira Wagner,Miranda Debora,Romano-Silva Marco A.,Costa Danielle S.,Diniz Leandro Malloy

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Information Systems

Reference55 articles.

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3. Buesing L, Weber T, Zwols Y, Heess N, Racaniere S, Guez A, Lespiau JB (2018) Woulda, coulda, shoulda: counterfactually-guided policy search. In: ICLR

4. Bzdok D, Meyer-Lindenberg A (2018) Machine learning for precision psychiatry: opportunities and challenges. Biol Psychiatry Cogn Neurosci Neuroimaging 3(3):223–230

5. Carmassi C, DellOste V, Cordone A, Pedrinelli V et al (2020) Relationships between somatic symptoms and panic-agoraphobic spectrum among frequent attenders of the general practice in Italy. J Nerv Ment Dis 208(7):540–548

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1. Algorithmic Recourse in Mental Healthcare;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

2. An exploratory causal analysis of the relationships between the brain age gap and cardiovascular risk factors;Frontiers in Aging Neuroscience;2022-08-22

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