RegEMR: a natural language processing system to automatically identify premature ovarian decline from Chinese electronic medical records

Background The ovarian reserve is a reservoir for reproductive potential. In clinical practice, early detection and treatment of premature ovarian decline characterized by abnormal ovarian reserve tests is regarded as a critical measure to prevent infertility. However, the relevant data are typicall...

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Vydáno v:	BMC medical informatics and decision making Ročník 23; číslo 1; s. 126 - 13
Hlavní autoři:	Cai, Jie, Chen, Shenglin, Guo, Siyun, Wang, Suidong, Li, Lintong, Liu, Xiaotong, Zheng, Keming, Liu, Yudong, Chen, Shiling
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London BioMed Central 18.07.2023 BioMed Central Ltd Springer Nature B.V BMC
Témata:	Aging (natural) Analysis Annotations Artificial intelligence Automation Computational linguistics Data collection Data mining Datasets Diagnosis Diminished ovarian reserve Electronic health records Electronic medical records Electronic records Extractors Fertility Genetic algorithms Health Informatics Health risks Hospitals Infertility Infertility, Female Information Systems and Communication Service Keywords Language Language processing Management of Computing and Information Systems Medical records Medical screening Medicine Medicine & Public Health Menstruation Methods Narratives Natural language interfaces Natural language processing Ovarian reserve Ovaries Performance evaluation Premature ovarian failure Premature ovarian insufficiency Prevention Risk Risk factors Scoring models Software China Natural language processing Premature ovarian insufficiency Diminished ovarian reserve Electronic medical records Premature ovarian failure Ovarian reserve
ISSN:	1472-6947, 1472-6947
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