Applying machine learning methods to psychosocial screening data to improve identification of prenatal depression: Implications for clinical practice and research

H Preis, PM Djurić, M Ajirak, T Chen, V Mane… - Archives of women's …, 2022 - Springer
We utilized machine learning (ML) methods on data from the PROMOTE, a novel
psychosocial screening tool, to quantify risk for prenatal depression for individual patients …
被引用次数：6 相关文章

Applying machine learning methods to psychosocial screening data to improve identification of prenatal depression: Implications for clinical practice and research

H Preis, PM Djurić, M Ajirak, T Chen… - … of Women's Mental …, 2022 - search.proquest.com
We utilized machine learning (ML) methods on data from the PROMOTE, a novel
psychosocial screening tool, to quantify risk for prenatal depression for individual patients …

Applying machine learning methods to psychosocial screening data to improve identification of prenatal depression: Implications for clinical practice and research

H Preis, PM Djurić, M Ajirak, T Chen… - … of women's mental …, 2022 - pubmed.ncbi.nlm.nih.gov
We utilized machine learning (ML) methods on data from the PROMOTE, a novel
psychosocial screening tool, to quantify risk for prenatal depression for individual patients …

Applying machine learning methods to psychosocial screening data to improve identification of prenatal depression: Implications for clinical practice and research.

H Preis, PM Djurić, M Ajirak, T Chen… - Archives of Women's …, 2022 - europepmc.org
Prenatal depression is one of the most common morbidities in the perinatal period with an
overall prevalence between 7% and 17%(Miller et al., 2021; Underwood et al., 2016) …

Applying machine learning methods to psychosocial screening data to improve identification of prenatal depression: Implications for clinical practice and research.

H Preis, PM Djurić, M Ajirak, T Chen… - … of Women's Mental …, 2022 - search.ebscohost.com
We utilized machine learning (ML) methods on data from the PROMOTE, a novel
psychosocial screening tool, to quantify risk for prenatal depression for individual patients …
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[HTML][HTML] Applying machine learning methods to psychosocial screening data to improve identification of prenatal depression: Implications for clinical practice and …

H Preis, PM Djurić, M Ajirak, T Chen… - Archives of women's …, 2022 - ncbi.nlm.nih.gov
Prenatal depression is one of the most common morbidities in the perinatal period with an
overall prevalence between 7% and 17%(Miller et al., 2021; Underwood et al., 2016) …