Results 131 to 140 of about 276,787 (297)
Data science approaches have been increasingly implemented in healthcare big data to evaluate the safety and effectiveness of drugs. Association discovery is a data mining approach that finds potentially associated elements in high‐dimensional data. We present a novel implementation of the association discovery approach in longitudinal healthcare data ...
George S. Q. Tan +6 more
wiley +1 more source
Molecular Pharmacology and Neurobiology of Rapid-Acting Antidepressants [PDF]
Todd D. Gould +2 more
openalex +1 more source
Overview of the implemented pharmacogenomics (PGx) process in clinical routine at the Robert Bosch Hospital: from patient enrollment via the hospital information system, DNA detection using a customized TaqMan OpenArray panel and qPCR for CNV assessment, to clinical translation of genotyping results into PGx guideline‐based recommendations using a ...
Roman Tremmel +13 more
wiley +1 more source
Potential adverse drug events can be signaled in Clinical Decision Support Systems (CDSSs). This study validated a Swedish CDSS (Janusmed Risk Profile) by investigating associations between calculated risk classifications of drugs with QT‐prolonging potential and registered related clinical outcomes.
Ola Nordqvist +6 more
wiley +1 more source
Mania following ketamine abuse
Yuan-Yuan Lu,1 Chieh-Hsin Lin,2,3 Hsien-Yuan Lane1,2,4 1Department of Psychiatry, China Medical University Hospital, 2Graduate Institute of Clinical Medical Science, China Medical University, Taichung, 3Department of Psychiatry, Kaohsiung Chang Gung ...
Lu Y, Lin C, Lane H
doaj
Effects of tricyclic antidepressants, selective serotonin reuptake inhibitors, and selective serotonin-norepinephrine reuptake inhibitors on the ocular surface [PDF]
Ayna Sariyeva İsmayılov, Guler Celikel
openalex +1 more source
Applying Machine Learning to Predict Complex Clinical Course in Youth With Eating Disorders
ABSTRACT Objective To compare the predictive performance of supervised machine learning models to logistic regression in identifying youth with eating disorders at risk of a complex clinical course based on clinical characteristics from the first treatment episode.
Stephanie Ryall +3 more
wiley +1 more source

