Work

A Machine Learning Approach for Non-Invasive Diagnosis of Metabolic Syndrome

Year: 2019

Type: conference-paper

Study design: Observational Study

Source: IEEE International Conference on Bioinformatics and Bioengineering (BIBE)

DOI: 10.1109/bibe.2019.00175

Authors: Suparno Datta, Anne Schraplau, Harry Freitas da Cruz, Jan Philipp Sachs, Frank Mayer, Erwin Bottinger

Institutions: Hasso Plattner Institute, University of Potsdam, Icahn School of Medicine at Mount Sinai

Language: English

Topic: Artificial Intelligence in Healthcare

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W3000320523

FWCI: 1.177

Cites: 35

Cited by: 16

Related to: 10