AIMC Topic: Adrenergic beta-Antagonists

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Natural language processing of electronic medical records identifies cardioprotective agents for anthracycline induced cardiotoxicity.

Scientific reports Feb 24, 2025
In this retrospective observational study, we aimed to investigate the potential of natural language processing (NLP) for drug repositioning by analyzing the preventive effects of cardioprotective drugs against anthracycline-induced cardiotoxicity (A...
Middle Aged Drug Repositioning Natural Language Processing Calcium Channel Blockers Aged Adult Male Cardiotonic Agents Cardiotoxicity Anthracyclines Adrenergic beta-Antagonists Hydroxymethylglutaryl-CoA Reductase Inhibitors Angiotensin Receptor Antagonists Angiotensin-Converting Enzyme Inhibitors Electronic Health Records Female Humans Retrospective Studies
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Advancing toward precision migraine treatment: Predicting responses to preventive medications with machine learning models based on patient and migraine features.

Headache Aug 23, 2024
OBJECTIVE: To develop machine learning models using patient and migraine features that can predict treatment responses to commonly used migraine preventive medications.
Humans Machine Learning Precision Medicine Topiramate Middle Aged Adrenergic beta-Antagonists Female Cohort Studies Antidepressive Agents, Tricyclic Adult Treatment Outcome Male Migraine Disorders
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Tailored use of β blockers using artificial intelligence.

Lancet (London, England) Aug 30, 2021
Humans Artificial Intelligence Adrenergic beta-Antagonists
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Redefining β-blocker response in heart failure patients with sinus rhythm and atrial fibrillation: a machine learning cluster analysis.

Lancet (London, England) Aug 30, 2021
BACKGROUND: Mortality remains unacceptably high in patients with heart failure and reduced left ventricular ejection fraction (LVEF) despite advances in therapeutics. We hypothesised that a novel artificial intelligence approach could better assess m...
Stroke Volume Middle Aged Comorbidity Cluster Analysis Aged Male Ventricular Function, Left Adrenergic beta-Antagonists Double-Blind Method Heart Failure Atrial Fibrillation Humans Machine Learning Female
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Machine Learning Methods Improve Prognostication, Identify Clinically Distinct Phenotypes, and Detect Heterogeneity in Response to Therapy in a Large Cohort of Heart Failure Patients.

Journal of the American Heart Association Apr 12, 2018
BACKGROUND: Whereas heart failure (HF) is a complex clinical syndrome, conventional approaches to its management have treated it as a singular disease, leading to inadequate patient care and inefficient clinical trials. We hypothesized that applying ...
Follow-Up Studies Registries Heart Failure Diuretics Ventricular Function, Left Stroke Volume Middle Aged Adrenergic beta-Antagonists Angiotensin Receptor Antagonists Angiotensin-Converting Enzyme Inhibitors Female Cardiovascular Agents Phenotype Reproducibility of Results Prognosis Sweden Retrospective Studies Survival Rate Humans Male Aged Machine Learning Aged, 80 and over Algorithms
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Low Predictability of Readmissions and Death Using Machine Learning in Cirrhosis.

The American journal of gastroenterology Feb 1, 2021
INTRODUCTION: Readmission and death in cirrhosis are common, expensive, and difficult to predict. Our aim was to evaluate the abilities of multiple artificial intelligence (AI) techniques to predict clinical outcomes based on variables collected at a...
Rifaximin Adrenergic beta-Antagonists Clinical Decision Rules End Stage Liver Disease Mortality Lactulose beta-Lactams Reproducibility of Results Aged Male Cohort Studies ROC Curve Middle Aged Severity of Illness Index Humans Machine Learning Anti-Bacterial Agents Female Water-Electrolyte Imbalance Patient Readmission Gastrointestinal Hemorrhage Hepatic Encephalopathy Paracentesis Proton Pump Inhibitors Infections Kidney Diseases Hydrothorax Ascites Gastrointestinal Agents Logistic Models Liver Cirrhosis Support Vector Machine
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Automatic Methods to Extract Prescription Status Quality Measures from Unstructured Health Records.

Studies in health technology and informatics Aug 21, 2019
Hospital systems frequently implement quality measures to quantify healthcare processes and patient outcomes. One such measure that has previously been used is the Surgical Care Improvement Project (SCIP) quality measure of perioperative beta blocker...
Quality of Health Care Medical Records Systems, Computerized Adrenergic beta-Antagonists Humans Hospitals Natural Language Processing
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