Загрузка...
Analysing repeated hospital readmissions using data mining techniques
Few studies have examined how to identify future readmission of patients with a large number of repeat emergency department (ED) visits. We explore 30-day readmission risk prediction using Microsoft’s AZURE machine learning software and compare five classification methods: Logistic Regression, Boost...
Сохранить в:
| Опубликовано в: : | Health Syst (Basingstoke) |
|---|---|
| Главные авторы: | , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Taylor & Francis
2017
|
| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6452839/ https://ncbi.nlm.nih.gov/pubmed/31214343 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/20476965.2017.1390635 |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|