Machine Learning Models for Predicting Antipsychotic Effectiveness and Separate Cost-Effectiveness Analysis in Hospitalized Schizophrenia Patients.

Zhang J, Xu Q, Jiang W, Sun D, Peng L

DOI: 10.2147/ndt.s582314
Published: 2026
Container: Neuropsychiatric disease and treatment
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.2147/ndt.s582314,
  title = {Machine Learning Models for Predicting Antipsychotic Effectiveness and Separate Cost-Effectiveness Analysis in Hospitalized Schizophrenia Patients.},
  author = {Zhang J and Xu Q and Jiang W and Sun D and Peng L},
  year = {2026},
  journal = {Neuropsychiatric disease and treatment},
  doi = {10.2147/ndt.s582314},
  url = {https://doi.org/10.2147/ndt.s582314}
}

RIS

TY  - JOUR
TI  - Machine Learning Models for Predicting Antipsychotic Effectiveness and Separate Cost-Effectiveness Analysis in Hospitalized Schizophrenia Patients.
AU  - Zhang J
AU  - Xu Q
AU  - Jiang W
AU  - Sun D
AU  - Peng L
PY  - 2026
JO  - Neuropsychiatric disease and treatment
DO  - 10.2147/ndt.s582314
UR  - https://doi.org/10.2147/ndt.s582314
ER  -

APA

J, Z., Q, X., W, J., D, S., & L, P. (2026). Machine Learning Models for Predicting Antipsychotic Effectiveness and Separate Cost-Effectiveness Analysis in Hospitalized Schizophrenia Patients.. Neuropsychiatric disease and treatment. https://doi.org/10.2147/ndt.s582314

Source records

pubmed · retrieved 2026-09-27T10:09:35.569Z