Predictive efficacy of machine-learning algorithms on intrahepatic cholestasis of pregnancy based on clinical and laboratory indicators
DNN and RNN are the two most suitable models to predict ICP in a convenient and available way. It provides flexible choice for medical staff and helps them optimize the therapeutic strategies to meet different clinical setting and improve the clinical prognosis of ICP.
Authors
- Xiaojun Zhu (ORCID: https://orcid.org/0000-0001-6523-0526)
- HE Jian-hu (ORCID: https://orcid.org/0009-0008-6396-8517)
- Xuan Yang (ORCID: https://orcid.org/0000-0002-7042-0233)
- Hui Wang (ORCID: https://orcid.org/0009-0006-3512-9308)
Institutions
- Women's Hospital, School of Medicine, Zhejiang University (CN)
Publication Details
- Journal
- The Journal of Maternal-Fetal & Neonatal Medicine
- Published
- 2024-12-03
- DOI
- https://doi.org/10.1080/14767058.2024.2413854
- Citations
- 5
- Primary Topic
- Pediatric Hepatobiliary Diseases and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 2.86