AIMC Topic: Cardiotonic Agents

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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...
Calcium Channel Blockers Hydroxymethylglutaryl-CoA Reductase Inhibitors Angiotensin Receptor Antagonists Drug Repositioning Natural Language Processing Cardiotoxicity Anthracyclines Adrenergic beta-Antagonists Angiotensin-Converting Enzyme Inhibitors Cardiotonic Agents Female Aged Male Middle Aged Adult Humans Retrospective Studies Electronic Health Records
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Incidence and Predictors of Postoperative Need for High-Dose Inotropic Support in Patients Undergoing Cardiac Surgery for Infective Endocarditis.

Journal of cardiothoracic and vascular anesthesia Dec 11, 2017
OBJECTIVE: Patients with infective endocarditis undergoing cardiac surgery are a high-risk population. Few data on incidence and predictors of need for high-dose inotropic support in this setting are currently available.
Follow-Up Studies Dose-Response Relationship, Drug Postoperative Care Incidence Germany Cardiotonic Agents Time Factors Cardiac Output, Low Endocarditis Intensive Care Units Postoperative Complications Humans Middle Aged Female Hemodynamics Retrospective Studies Survival Rate Male
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Predicting the physiological response of Tivela stultorum hearts with digoxin from cardiac parameters using artificial neural networks.

Bio Systems Nov 15, 2016
Multi-layer perceptron artificial neural networks (MLP-ANNs) were used to predict the concentration of digoxin needed to obtain a cardio-activity of specific biophysical parameters in Tivela stultorum hearts. The inputs of the neural networks were th...
Myocardial Contraction Cardiotonic Agents Models, Cardiovascular Animals Signal Processing, Computer-Assisted Digoxin Bivalvia Heart Neural Networks, Computer Algorithms
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Using machine learning to model dose-response relationships.

Journal of evaluation in clinical practice May 30, 2016
RATIONALE, AIMS AND OBJECTIVES: Establishing the relationship between various doses of an exposure and a response variable is integral to many studies in health care. Linear parametric models, widely used for estimating dose-response relationships, h...
Cardiotonic Agents Isoproterenol Blood Flow Velocity Algorithms Humans Male Discriminant Analysis Machine Learning Data Mining Dose-Response Relationship, Drug
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Congestive heart failure information extraction framework for automated treatment performance measures assessment.

Journal of the American Medical Informatics Association : JAMIA Apr 1, 2017
OBJECTIVE: This paper describes a new congestive heart failure (CHF) treatment performance measure information extraction system - CHIEF - developed as part of the Automated Data Acquisition for Heart Failure project, a Veterans Health Administration...
Humans Machine Learning Natural Language Processing Heart Failure Information Storage and Retrieval Electronic Health Records Ventricular Function, Left Hospitals, Veterans Cardiotonic Agents
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[The research on protective effect of penehyclidine hydrochloride in rats with myocardial ischemia/reperfusion injury].

Zhonghua wei zhong bing ji jiu yi xue Dec 1, 2015
OBJECTIVE: To compare the protective effect of different dose of penehyclidine hydrochloride (PHC) in rats with myocardial ischemia/reperfusion (I/R) injury.
Myocytes, Cardiac L-Lactate Dehydrogenase Random Allocation Cardiotonic Agents Furans Rats Myocardium Myocardial Reperfusion Injury Male Animals Rats, Wistar Quinuclidines Creatine Kinase, MB Form Mitochondria, Heart
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