ML-MEDIC: A Preliminary Study of an Interactive Visual Analysis Tool Facilitating Clinical Applications of Machine Learning for Precision Medicine.

Pubmed ID: 33664984

Pubmed Central ID: PMC7928533

Journal: Applied sciences (Basel, Switzerland)

Publication Date: May 1, 2020

Grants: T15 LM009451

Authors: Hall J, Linstead E, Kao D, Stevens L, Görg C, Abdo K

Cite As: Stevens L, Kao D, Hall J, Görg C, Abdo K, Linstead E. ML-MEDIC: A Preliminary Study of an Interactive Visual Analysis Tool Facilitating Clinical Applications of Machine Learning for Precision Medicine. Appl Sci (Basel) 2020 May;10. (9). Epub 2020 May 9.

Studies:

Abstract

Accessible interactive tools that integrate machine learning methods with clinical research and reduce the programming experience required are needed to move science forward. Here, we present Machine Learning for Medical Exploration and Data-Inspired Care (ML-MEDIC), a point-and-click, interactive tool with a visual interface for facilitating machine learning and statistical analyses in clinical research. We deployed ML-MEDIC in the American Heart Association (AHA) Precision Medicine Platform to provide secure internet access and facilitate collaboration. ML-MEDIC's efficacy for facilitating the adoption of machine learning was evaluated through two case studies in collaboration with clinical domain experts. A domain expert review was also conducted to obtain an impression of the usability and potential limitations.