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An artificial neural network model to predict the mortality of COVID-19 patients using routine blood samples at the time of hospital admission: Development and validation study.
Medicine (Baltimore). 2021 07 16; 100(28):e26532.M

Authors+Show Affiliations

Department of Ophthalmology, Chi-Mei Medical Center, Yong Kang, Tainan City, Taiwan. Department of Optometry, Chung Hwa University of Medical Technology, Jen-Teh, Tainan City, Taiwan.Department of Medical Research, Chi-Mei Medical Center, Tainan, Taiwan.Department of Pediatrics, Chi-Mei Medical Center, Tainan, Taiwan. Department of Childhood Education and Nursery, Chia Nan University of Pharmacy and Science, Tainan, Taiwan. School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.Department of Physical Medicine and Rehabilitation, Chung San Medical University Hospital, Taichung, Taiwan. Department of Physical Medicine and Rehabilitation, Chi Mei Medical Center, Tainan, Taiwan.

Pub Type(s)

Journal Article
Multicenter Study
Validation Study

Language

eng

PubMed ID

34260529

Citation

Lin, Ju-Kuo, et al. "An Artificial Neural Network Model to Predict the Mortality of COVID-19 Patients Using Routine Blood Samples at the Time of Hospital Admission: Development and Validation Study." Medicine, vol. 100, no. 28, 2021, pp. e26532.
Lin JK, Chien TW, Wang LY, et al. An artificial neural network model to predict the mortality of COVID-19 patients using routine blood samples at the time of hospital admission: Development and validation study. Medicine (Baltimore). 2021;100(28):e26532.
Lin, J. K., Chien, T. W., Wang, L. Y., & Chou, W. (2021). An artificial neural network model to predict the mortality of COVID-19 patients using routine blood samples at the time of hospital admission: Development and validation study. Medicine, 100(28), e26532. https://doi.org/10.1097/MD.0000000000026532
Lin JK, et al. An Artificial Neural Network Model to Predict the Mortality of COVID-19 Patients Using Routine Blood Samples at the Time of Hospital Admission: Development and Validation Study. Medicine (Baltimore). 2021 07 16;100(28):e26532. PubMed PMID: 34260529.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - An artificial neural network model to predict the mortality of COVID-19 patients using routine blood samples at the time of hospital admission: Development and validation study. AU - Lin,Ju-Kuo, AU - Chien,Tsair-Wei, AU - Wang,Lin-Yen, AU - Chou,Willy, PY - 2020/12/28/received PY - 2021/06/15/accepted PY - 2021/7/14/entrez PY - 2021/7/15/pubmed PY - 2021/7/23/medline SP - e26532 EP - e26532 JF - Medicine JO - Medicine (Baltimore) VL - 100 IS - 28 SN - 1536-5964 UR - https://www.unboundmedicine.com/medline/citation/34260529/An_artificial_neural_network_model_to_predict_the_mortality_of_COVID-19_patients_using_routine_blood_samples_at_the_time_of_hospital_admission:_Development_and_validation_study. L2 - https://doi.org/10.1097/MD.0000000000026532 DB - PRIME DP - Unbound Medicine ER -