Results 111 to 120 of about 7,680 (217)

A Serverless Pharmacogenomic Risk Dashboard: Translating Ensemble Models and Model‐Based Scenario Rules to Clinical Decision Support

open access: yesClinical and Translational Science, Volume 19, Issue 8, August 2026.
ABSTRACT The “last mile” problem in healthcare AI—translating high‐performance models into accessible, privacy‐preserving point‐of‐care tools—remains unsolved for pharmacogenomic (PGx) risk assessment. No existing platform integrates opioid and polypharmacy risk scoring, model‐based scenario analysis, and CPIC‐based PGx patient cards within a single ...
R. Jerome Dixon, Elvin T. Price
wiley   +1 more source

Predictive Models for Motor Outcomes From Deep Brain Stimulation in Parkinson's Disease: A Systematic Review

open access: yesEuropean Journal of Neuroscience, Volume 64, Issue 3, August 2026.
Our systematic search uncovered 19 studies creating predictive models of motor outcomes from deep brain stimulation for Parkinson's disease. We review prediction accuracy and replicability and discuss candidate input data and the presentation of predictions.
Maya Wilde   +4 more
wiley   +1 more source

Mental Health Prediction Using Catboost Algorithm

open access: yesInternational Journal for Research in Applied Science and Engineering Technology
Abstract: This study investigates the application of the CatBoost algorithm in predicting mental health outcomes using Python programming language. Mental health prediction is a critical area of research due to its significant impact on individuals and society.
openaire   +1 more source

Machine-learning prediction of pre-dose pharmacokinetics optimizes initial vancomycin dosing in critically ill children. [PDF]

open access: yesFront Pharmacol
Chen J   +14 more
europepmc   +1 more source

NIDS Alert Classification : with a Catboost Classifier

open access: yes
While Network Intrusion Detection Systems (NIDS) are essential for traffic mon-itoring, their deterministic rulesets often generate a high volume of false positives.This leads to alert fatigue, which disproportionately affects Small to Medium En-terprises (SMEs) lacking the personnel and computational resources for enterprise-grade automated triage. To
Norris, Amber, Sabit, Yama
openaire   +1 more source

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