Machine learning for patient risk stratification for acute respiratory distress syndrome

BACKGROUND: Existing prediction models for acute respiratory distress syndrome (ARDS) require manual chart abstraction and have only fair performance–limiting their suitability for driving clinical interventions. We sought to develop a machine learning approach for the prediction of ARDS that (a) le...

Полное описание

Сохранить в:
Библиографические подробности
Опубликовано в: :PLoS One
Главные авторы: Zeiberg, Daniel, Prahlad, Tejas, Nallamothu, Brahmajee K., Iwashyna, Theodore J., Wiens, Jenna, Sjoding, Michael W.
Формат: Artigo
Язык:Inglês
Опубликовано: Public Library of Science 2019
Предметы:
Research Article
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC6438573/
https://ncbi.nlm.nih.gov/pubmed/30921400
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0214465
Метки: Добавить метку
Нет меток, Требуется 1-ая метка записи!

Схожие документы