Early Risk Pregnancy Prediction Based on Machine Learning Built on Intelligent Application Using Primary Health Care Cohort Data

Author:

Miranda Eka,Kumbangsila Meyske,Aryuni Mediana,Richard ,Zakiyyah Alfi Yusrotis,Sano Albert Verasius Dian

Publisher

Springer Nature Singapore

Reference33 articles.

1. World Health Organization (WHO) https://www.who.int/news-room/fact-sheets/detail/maternal-mortality. Accessed 2022/4/26

2. Data and information Center the Ministry of Health the Republic of Indonesia. https://www.kemkes.go.id/article/view/15021800009/situasi-kesehatan-ibu.html. Accessed 2022/4/26

3. Data and information Center The Ministry of Health the Republic of Indonesia. https://pusdatin.kemkes.go.id/resources/download/pusdatin/profil-kesehatanindonesia/PROFIL_KESEHATAN_2018_1.pdf. Accessed 2022/4/26

4. The Ministry of Health the Republic of Indonesia https://sehatnegeriku.kemkes.go.id/baca/umum/20210914/3738491/kemenkes-perkuat-upaya-penyelamatan-ibu-dan-bayi/. Accessed 2022/4/26

5. The United Nations Children’s Fund (UNICEF) https://data.unicef.org/topic/maternal-health/antenatal-care/. Accessed 2022/4/26

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Direction of Machine Learning Research in Obstetric Care in the Last 10 Years;2024 4th International Conference on Emerging Smart Technologies and Applications (eSmarTA);2024-08-06

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