Challenges of Utilizing Medical Big Data in Reproductive Health Research
- PMID: 36303614
- PMCID: PMC9580750
- DOI: 10.3389/frph.2022.800760
Challenges of Utilizing Medical Big Data in Reproductive Health Research
Abstract
In the background of the "Three-Child Policy" introduced by the Chinese government, reproductive health has become one of the most important public health issues. With the promotion of digitization management of medical care institutions for women and children in the country, there will be chances to acquire medical big data of obstetrics and pediatrics. Here the authors are presenting their opinions on the challenges of the management and utilization of reproductive big data.
Keywords: artificial intelligence; big data; children; clinical research; reproductive health; women.
Copyright © 2022 Dong, Zhu, Li and Wang.
Conflict of interest statement
TD was employed by Tripod (Nanjing) Clinical Research Co., Ltd. MZ and RL were employed by Shanghai Synyi Medical Technology Co., Ltd. The remaining author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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References
-
- Jaddoe VWV, Felix JF, Andersen AN, Charles MA, Chatzi L, Corpeleijn E, et al. . The LifeCycle Project-EU Child Cohort Network: a federated analysis infrastructure and harmonized data of more than 250,000 children and parents. Eur J Epidemiol. (2020) 35:709–24. 10.1007/s10654-020-00662-z - DOI - PMC - PubMed
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