Evaluating machine learning algorithms for prediction of treatment response for sleep disturbances in patients with schizophrenia: A post-hoc analysis from a randomized controlled trial

Machine learning models are an emerging trend in clinical research and should be translated into clinical practice. The logistic regression model predicted responders with 90% accuracy.

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Publication Details

Journal
Psychiatria Danubina
Published
2025-05-15
DOI
https://doi.org/10.24869/psyd.2025.46
Citations
2
Primary Topic
Sleep and related disorders
Type
article
Field-Weighted Citation Impact
4.24
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article

Evaluating machine learning algorithms for prediction of treatment response for sleep disturbances in patients with schizophrenia: A post-hoc analysis from a randomized controlled trial

Archana Mishra, Monalisa Jena, Rituparna Maiti, Anand Srinivasan
2 citations
Psychiatria Danubina
Sleep and related disorders
4.24
article

Evaluating machine learning algorithms for prediction of treatment response for sleep disturbances in patients with schizophrenia: A post-hoc analysis from a randomized controlled trial

Archana Mishra, Monalisa Jena, Rituparna Maiti, Anand Srinivasan
article en
2 citations

Abstract

Machine learning models are an emerging trend in clinical research and should be translated into clinical practice. The logistic regression model predicted responders with 90% accuracy.

Psychiatria DanubinaVol. 37(1)
All India Institute of Medical Sciences Bhubaneswar (IN)
Good health and well-being
Openalex Percentile: Top 7%
Sleep and related disorders
4.24
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