ロード中...
Machine Learning Models for the Prediction of Postpartum Depression: Application and Comparison Based on a Cohort Study
BACKGROUND: Postpartum depression (PPD) is a serious public health problem. Building a predictive model for PPD using data during pregnancy can facilitate earlier identification and intervention. OBJECTIVE: The aims of this study are to compare the effects of four different machine learning models u...
保存先:
| 出版年: | JMIR Med Inform |
|---|---|
| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
JMIR Publications
2020
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7226048/ https://ncbi.nlm.nih.gov/pubmed/32352387 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/15516 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|