Background: The concept of boosting emerged from the field of machine learning. The basic
idea is to boost the accuracy of a weak classifying tool by combining various instances into a …

Adverse drug events (ADEs) represent one of the most prevalent types of health-care-
related harm, and there is substantial room for improvement in the way that they are …

Warfarin dosing remains challenging due to narrow therapeutic index and highly individual
variability. Incorrect warfarin dosing is associated with devastating adverse events …

Objectives As laboratory medicine continues to undergo digitalization and automation,
clinical laboratorians will likely be confronted with the challenges associated with artificial …

This review focuses on machine learning and on how methods and models combining data
analytics and artificial intelligence have been applied to laboratory medicine so far. Although …

Objective Multiple linear regression (MLR) and machine learning techniques in
pharmacogenetic algorithm-based warfarin dosing have been reported. However …

Background Medication prescription is a complex process that could benefit from current
research and development in machine learning through decision support systems …

Determining the likelihood of a prolonged length of stay (LOS) for surgery patients can
improve medical resource management. This study was aimed at developing predictive …

Prosthodontic treatment has been a crucial part of dental treatment for patients with full
mouth rehabilitation. Dental implant surgeries that replace conventional dentures using …

Aim: This study is aimed to find the best predictive model for warfarin stable dosage.
Materials & methods: Seven models, namely multiple linear regression (MLR), artificial …