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Multiple Predictively Equivalent Risk Models for Handling Missing Data at Time of Prediction: with an Application in Severe Hypoglycemia Risk Prediction for Type 2 Diabetes

The presence of missing data at the time of prediction limits the application of risk models in clinical and research settings. Common ways of handling missing data at the time of prediction include measuring the missing value and employing statistical methods. Measuring missing value incurs additio...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:J Biomed Inform
Egile Nagusiak: Ma, Sisi, Schreiner, Pamela J, Seaquist, Elizabeth R., Ugurbil, Mehmet, Zmora, Rachel, Chow, Lisa S
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: 2020
Gaiak:
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC7088462/
https://ncbi.nlm.nih.gov/pubmed/32001388
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbi.2020.103379
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