Artificial intelligence (AI) is a branch of computer science that deals with the development of
algorithms that seek to simulate human intelligence. We provide an overview of the basic …

Background Warfarin is a widely prescribed anticoagulant in the clinic. It has a more
considerable individual variability, and many factors affect its variability. Mathematical …

Dashboard systems for clinical decision support integrate data from multiple sources. These
systems, the newest in a long line of dose calculators and other decision support tools …

With increasing the application of decision support systems in various fields, using such
systems in different aspects of medical science has been growing. Drug's dose prediction is …

OBJECTIVE: Safety of anticoagulant administration has been a primary concern of the Joint
Commission on Accreditation of Healthcare Organizations. Among all anticoagulants …

Machine learning (ML) was used to leverage tumor growth inhibition (TGI) metrics to
characterize the relationship with overall survival (OS) as a novel approach and to compare …

An evolutionary ensemble modeling (EEM) method is developed to improve the accuracy of
warfarin dose prediction. In EEM, genetic programming (GP) evolves diverse base models …

Aim: To develop more precise pharmacogenomic algorithm for prediction of safe and
effective dose of warfarin. Materials & methods: An artificial neural network (ANN) algorithm …

Objective: This study aimed to systematically assess the characteristics and risk of bias of
previous studies that have investigated nonlinear machine learning algorithms for warfarin …

Background Vitamin K antagonist (warfarin) is the most classical and widely used oral
anticoagulant with assuring anticoagulant effect, wide clinical indications and low price …