Work

Enabling Machine Learning in Critical Care.

Year: 2017

Type: article

Abstract: Critical care units are home to some of the most sophisticated patient technology within hospitals. In parallel, the field of machine learning is advancing rapidly and increasingly touching our lives. To facilitate the adoption of machine learning approaches in critical care, we must become better at sharing and integrating data. Greater emphasis on collaboration- outside the traditional "multidisciplinary" realm and into the engineering, mathematical, and computer sciences-will help us to achieve this. Meanwhile, those at the forefront of the health data revolution must earn and maintain society's trust and demonstrate that data sharing and reuse is a necessary step to improve patient care.

Source: PubMed

Authors: Tom J Pollard, Leo Anthony Celi

Institution: Massachusetts Institute of Technology

Language: English

Topic: Machine Learning in Healthcare

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funder: National Institutes of Health

Awards: Critical Care Informatics, Research Resource for Complex Physiologic Signals