Work

Commentary: Can machine learning reduce readmissions after esophagectomy? A consummation devoutly to be wished

Year: 2020

Type: editorial

Source: Journal of Thoracic and Cardiovascular Surgery

DOI: 10.1016/j.jtcvs.2020.05.054

Authors: Nasser Altorki, Art Sedrakyan

Institutions: NewYork–Presbyterian Hospital, Weill Cornell Medicine, Weill Cornell Medical Center

Language: English

Topic: Esophageal Cancer Research and Treatment

Subfield: Surgery

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: U.S. Food and Drug Administration, National Cancer Institute, Moonshot Research and Development Program

Awards: G1726700685, G6010635517

OpenAlex ID: W3031644665

Cites: 7

Cited by: 1

Related to: 10