AIMC Topic: Disease Management

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Machine learning in heart failure: ready for prime time.

Current opinion in cardiology Mar 1, 2018
PURPOSE OF REVIEW: The aim of this review is to present an up-to-date overview of the application of machine learning methods in heart failure including diagnosis, classification, readmissions and medication adherence.
Humans Machine Learning Deep Learning Heart Failure Disease Management
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Letter to the editor: Dementia: Creating a Knowledge-Based Healthcare Profession.

The journal of prevention of Alzheimer's disease Jan 1, 2018
Humans Health Occupations Clinical Competence Dementia Knowledge Bases Disease Management Quality of Health Care
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[The mathematical approaches to differential diagnostics of acute pharyngeal diseases].

Vestnik otorinolaringologii Jan 1, 2017
The objective of the present study was to elaborate the program for differential diagnostics of acute pharyngeal diseases based on the 'ENT-Neuro' artificial neuronal network. The study group was formed by means of sampling patients with acute pharyn...
Humans Neural Networks, Computer Female Adult Male Severity of Illness Index Diagnosis, Differential Acute Disease Patient Selection Disease Management Pharyngeal Diseases
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ST2 Levels Before and After Treatment of NYHA III and IV Heart Failure.

Acta medica Indonesiana Oct 1, 2015
AIM: to find whether ST2 can be used to determine clinical improvement in patients with NYHA III and IV heart failure.
Humans Biomarkers Prognosis Female Aged Young Adult Adult Male Middle Aged Severity of Illness Index Adolescent Time Factors Enzyme-Linked Immunosorbent Assay Follow-Up Studies Heart Failure Disease Management Interleukin-1 Receptor-Like 1 Protein Receptors, Cell Surface Receptors, Interleukin-1
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