Clinical decision making: Evolving from the hypothetico‐deductive model to knowledge‐enhanced machine learning
Year: 2024
Type: article
Abstract: Knowledge-enhanced machine learning can be conceptualized as a fusion of clinical knowledge and domain expertise extracted from traditional clinical decision making methods alongside powerful machine learning architectures. Knowledge-enhanced machine learning significantly improves current machine learning methods in terms of interpretability, generalizability, accuracy, and equity.
Source: Medicine Advances
DOI: 10.1002/med4.83
Author: Han Yuan
Institutions: National University of Singapore, Duke-NUS Medical School
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4405481743