AIMC Topic: Disease Management

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Supervised machine learning for the prediction of infection on admission to hospital: a prospective observational cohort study.

The Journal of antimicrobial chemotherapy Apr 1, 2019
BACKGROUND: Infection diagnosis can be challenging, relying on clinical judgement and non-specific markers of infection. We evaluated a supervised machine learning (SML) algorithm for diagnosing bacterial infection using routinely available blood par...
Algorithms Biomarkers Prognosis Humans Follow-Up Studies Supervised Machine Learning ROC Curve Decision Support Systems, Clinical Infections Patient Admission Hematologic Tests Disease Management Diagnostic Tests, Routine Young Adult Adult Middle Aged Cohort Studies Male Aged Aged, 80 and over Clinical Decision-Making Female
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Machine learning in pain research.

Pain Apr 1, 2018
Biomedical Research Pain Humans Machine Learning 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.
Machine Learning Deep Learning Heart Failure Disease Management Humans
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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
Quality of Health Care Knowledge Bases Disease Management Humans Clinical Competence Dementia Health Occupations
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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...
Female Adult Male Severity of Illness Index Humans Pharyngeal Diseases Neural Networks, Computer Patient Selection Disease Management Diagnosis, Differential Acute Disease
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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.
Adolescent Receptors, Cell Surface Time Factors Receptors, Interleukin-1 Middle Aged Aged Prognosis Humans Adult Severity of Illness Index Female Young Adult Biomarkers Heart Failure Enzyme-Linked Immunosorbent Assay Male Disease Management Follow-Up Studies Interleukin-1 Receptor-Like 1 Protein
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