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
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
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
Prediction of Ligand Binding to Transthyretin Using Machine Learning Algorithms and Low-Dimensional Molecular Descriptors: A Tox24 Challenge Study. [PDF]
Stefaniak F.
europepmc +1 more source
Development of an Artificial Intelligence Web Application for Predicting Chemotherapy-Induced Neutropenia in Patients With Non-Small Cell Lung Cancer: A Prospective Study. [PDF]
Zhang J +11 more
europepmc +1 more source
Machine-learning prediction of pre-dose pharmacokinetics optimizes initial vancomycin dosing in critically ill children. [PDF]
Chen J +14 more
europepmc +1 more source
NIDS Alert Classification : with a Catboost Classifier
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
The recognition method of external force damage sources vibration signals based on LSTM-CNN-CatBoost-GSSSA. [PDF]
Chen X, Zhang L, Li X, Gao F.
europepmc +1 more source
Optimised hybrid late fusion deep learning model for cashew disease classification. [PDF]
K M, Sankaranarayanan S.
europepmc +1 more source
Hybrid deep feature and machine learning framework for classification of thyroid nodules in ultrasound images. [PDF]
Zhang D, Li B, Ju H, Li T, Zhang Y.
europepmc +1 more source

