This paper is in the following e-collection/theme issue:

Decision Support for Health Professionals (1144) Artificial Intelligence (1211) Obstetrics, Gynecology, and Reproductive Medicine (198) Natural Language Processing (649) Registered Report (528) Electronic Health Records (970) Clinical Information and Decision Making (1338)

Published on in Vol 9, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25304, first published .
Combining External Medical Knowledge for Improving Obstetric Intelligent Diagnosis: Model Development and Validation

Combining External Medical Knowledge for Improving Obstetric Intelligent Diagnosis: Model Development and Validation

Combining External Medical Knowledge for Improving Obstetric Intelligent Diagnosis: Model Development and Validation

Authors of this article:

Kunli Zhang1 Author Orcid Image ;   Linkun Cai1 Author Orcid Image ;   Yu Song1 Author Orcid Image ;   Tao Liu1 Author Orcid Image ;   Yueshu Zhao2 Author Orcid Image
Article Authors Cited by (4) Tweetations (1) Metrics

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  1. Rajabi E, Etminani K. Knowledge-graph-based explainable AI: A systematic review. Journal of Information Science 2022:016555152211128 View
  2. Cai L, Li J, Lv H, Liu W, Niu H, Wang Z. Integrating domain knowledge for biomedical text analysis into deep learning: A survey. Journal of Biomedical Informatics 2023;143:104418 View
  3. Oberste L, Heinzl A. User-Centric Explainability in Healthcare: A Knowledge-Level Perspective of Informed Machine Learning. IEEE Transactions on Artificial Intelligence 2023;4(4):840 View
  4. Liu X, Yue J, Luo L, Liu C, Zhu T. Evolutionary analysis of nuclear wastewater collaborative governance based on prospect theory. Journal of Cleaner Production 2024;465:142856 View