Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6853315 | Artificial Intelligence in Medicine | 2018 | 12 Pages |
Abstract
This study attempted to bridge the patient/caregiver gap by building a sophisticated application that uses artificial intelligence and machine learning computational techniques to perform data-driven decision-making at the point of primary care. The first level of decision-making is conducted by the IDDAP and provides the patient with a first-line therapy. Patients can then make a subjective judgment, and if any questions arise, should consult a physician for subsequent decisions, particularly in complicated cases or in cases in which the necessary information is not yet available in the knowledge base.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Ying Shen, Kaiqi Yuan, Daoyuan Chen, Joël Colloc, Min Yang, Yaliang Li, Kai Lei,