AIMC Topic: Health Status
Clear Filters Showing 71 to 80 of 121 articles
Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): A retrospective, single-site study.
PLoS medicine
Nov 27, 2018
BACKGROUND: Pythia is an automated, clinically curated surgical data pipeline and repository housing all surgical patient electronic health record (EHR) data from a large, quaternary, multisite health institute for data science initiatives. In an eff...
Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records.
PLoS medicine
Nov 20, 2018
BACKGROUND: Emergency admissions are a major source of healthcare spending. We aimed to derive, validate, and compare conventional and machine learning models for prediction of the first emergency admission. Machine learning methods are capable of ca...
Socioeconomic Factors
Humans
Health Status
Machine Learning
Age Factors
Electronic Health Records
Young Adult
Emergency Service, Hospital
Female
Adult
Data Mining
Risk Factors
Middle Aged
Reproducibility of Results
Sex Factors
Male
Aged
Risk Assessment
Health Services Needs and Demand
Aged, 80 and over
England
Patient Admission
Adolescent
Needs Assessment
Time Factors
Predicting the Health Status of an Unmanned Aerial Vehicles Data-Link System Based on a Bayesian Network.
Sensors (Basel, Switzerland)
Nov 13, 2018
Unmanned aerial vehicles (UAVs) require data-link system to link ground data terminals to the real-time controls of each UAV. Consequently, the ability to predict the health status of a UAV data-link system is vital for safe and efficient operations....
Predicting Motor and Cognitive Improvement Through Machine Learning Algorithm in Human Subject that Underwent a Rehabilitation Treatment in the Early Stage of Stroke.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Aug 2, 2018
BACKGROUND: The objective of this study was to investigate, in subject with stroke, the exact role as prognostic factor of common inflammatory biomarkers and other markers in predicting motor and/or cognitive improvement after rehabilitation treatmen...
Inflammation Mediators
Linear Models
Motor Skills
Leukocyte Count
Motor Activity
Recovery of Function
Predictive Value of Tests
Disability Evaluation
Stroke
Hematocrit
Stroke Rehabilitation
Decision Support Techniques
Biomarkers
Female
Male
Time Factors
Cognition
Treatment Outcome
Longitudinal Studies
Health Status
Inpatients
Humans
Machine Learning
Fetal health status prediction based on maternal clinical history using machine learning techniques.
Computer methods and programs in biomedicine
Jun 14, 2018
BACKGROUND AND OBJECTIVE: Congenital anomalies are seen at 1-3% of the population, probabilities of which are tried to be found out primarily through double, triple and quad tests during pregnancy. Also, ultrasonographical evaluations of fetuses enha...
Humans
Machine Learning
Algorithms
Ultrasonography, Prenatal
Diagnosis, Computer-Assisted
ROC Curve
Pregnancy
Female
Reproducibility of Results
Decision Trees
Fetus
Mobile Applications
Area Under Curve
Perception
Logistic Models
Bayes Theorem
Congenital Abnormalities
Support Vector Machine
Internet
Health Status
Telemedicine
Regression Analysis
Internet of Health Things: Toward intelligent vital signs monitoring in hospital wards.
Artificial intelligence in medicine
Jun 2, 2018
BACKGROUND: Large amounts of patient data are routinely manually collected in hospitals by using standalone medical devices, including vital signs. Such data is sometimes stored in spreadsheets, not forming part of patients' electronic health records...
Using machine-learning approaches to predict non-participation in a nationwide general health check-up scheme.
Computer methods and programs in biomedicine
May 29, 2018
BACKGROUND: In the time since the launch of a nationwide general health check-up and instruction program in Japan in 2008, interest in the formulation of an effective and efficient strategy to improve the participation rate has been growing. The aim ...
Effect of Health and Training on Ultrasensitive Cardiac Troponin in Marathon Runners.
The journal of applied laboratory medicine
May 22, 2018
PURPOSE: Cardiac troponin (cTn) is the gold standard biomarker for assessing cardiac damage. Previous studies have demonstrated increases in plasma cTn because of extreme exercise, including marathon running. We developed an easy-to-use, ultrasensiti...
Representation of Social History Factors Across Age Groups: A Topic Analysis of Free-Text Social Documentation.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
As individuals age, there is potential for dramatic changes in the social and behavioral determinants that affect health status and outcomes. The importance of these determinants has been increasingly recognized in clinical decision-making. We sought...
A fuzzy logic-based warning system for patients classification.
Health informatics journal
Nov 6, 2017
Typically acute deterioration in sick people is preceded by subtle changes in the physiological parameters such as pulse and blood pressure. The Modified Early Warning Score is a scoring system developed to assist hospital staff in gauging these phys...
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