Artificial intelligence in sepsis early prediction and diagnosis using unstructured data in healthcare

Early prediction and diagnosis of sepsis, which is critical in reducing mortality, is challenging as many of its signs and symptoms are similar to other less critical conditions. Here, the authors develop an artificial intelligence algorithm which uses both structured data and unstructured clinical...

Full description

Saved in:
Bibliographic Details
Main Authors: Kim Huat Goh, Le Wang, Adrian Yong Kwang Yeow, Hermione Poh, Ke Li, Joannas Jie Lin Yeow, Gamaliel Yu Heng Tan
Format: article
Language:EN
Published: Nature Portfolio 2021
Subjects:
Q
Online Access:https://doaj.org/article/f98ccc25d03c4520b342766bf3d9b25c
Tags: Add Tag
No Tags, Be the first to tag this record!