Work

Sharpening the resolution on data matters: a brief roadmap for understanding deep learning for medical data

Year: 2020

Type: article

Source: The Spine Journal

DOI: 10.1016/j.spinee.2020.08.012

Authors: Allen Schmaltz, Andrew L. Beam

Institution: Harvard University

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

Open Access status: green

Funders: National Heart, Lung, and Blood Institute, National Institute of Neurological Disorders and Stroke

Awards: Discovery of the Biomarker Signature for Neuropathic Corneal Pain, Predicting Pulmonary and Cardiac Morbidity in Preterm Infants with Deep Learning

OpenAlex ID: W3080839573

FWCI: 0.515

Cites: 32

Cited by: 12

Related to: 10