The association between clinical, sociodemographic, familial, and environmental factors and treatment resistance in schizophrenia: A machine-learning-based approach-Reference-Cited by-同舟云学术

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The association between clinical, sociodemographic, familial, and environmental factors and treatment resistance in schizophrenia: A machine-learning-based approach

Published:2023-12 Issue: Volume:262 Page:132-141
ISSN:0920-9964
Container-title:Schizophrenia Research
language:en
Short-container-title:Schizophrenia Research

Author:

van Hooijdonk Carmen F.M.,van der Pluijm Marieke,de Vries Bart M.,Cysouw Matthijs,Alizadeh Behrooz Z.,Simons Claudia J.P.,van Amelsvoort Therese A.M.J.,Booij Jan,Selten Jean-Paul,de Haan Lieuwe,Schirmbeck Frederike,van de Giessen Elsmarieke

Funder

ZonMw

Lundbeck

Publisher

Elsevier BV

Subject

Biological Psychiatry,Psychiatry and Mental health

Reference46 articles.

1. Different types of childhood adversity and 5-year outcomes in a longitudinal cohort of first-episode psychosis patients;Ajnakina;Psychiatry Res.,2018

2. Predicting onset of early-and late-treatment resistance in first-episode schizophrenia patients using advanced shrinkage statistical methods in a small sample;Ajnakina;Psychiatry Res.,2020

3. Remission in schizophrenia: proposed criteria and rationale for consensus;Andreasen;Am. J. Psychiatry,2005

4. Association of smoked cannabis with treatment resistance in schizophrenia;Arsalan;Psychiatry Res.,2019

5. Random forests;Breiman;Mach. Learn.,2001

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prediction of Clinical Outcomes in Psychotic Disorders Using Artificial Intelligence Methods: A Scoping Review;Brain Sciences;2024-08-29

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