AIMC Topic: Health Status

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Health status prediction for the elderly based on machine learning.

Archives of gerontology and geriatrics May 22, 2020
Health and social care services are crucial to old people. The provision of services to the elderly with care needs requires more accurate predictions of the health status of the elderly to rationalize the allocation of the limited social care resour...
Humans Machine Learning Aged Health Status
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Augmented Performance Feedback during Robotic Gait Therapy Results in Moderate Intensity Cardiovascular Exercise in Subacute Stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Mar 31, 2020
BACKGROUND: Low cardiovascular fitness is common poststroke. Conventional subacute stroke rehabilitation does not meet Australian National Stroke Guidelines for cardiovascular exercise, particularly in mobility-dependent patients. Walking robotics ca...
Oxygen Consumption Augmented Reality Stroke Gait Exercise Therapy Feedback, Psychological Exercise Tolerance Time Factors Humans Prospective Studies Treatment Outcome Patient Satisfaction Female Health Status Cardiorespiratory Fitness Aged Stroke Rehabilitation Recovery of Function Male Mobility Limitation Robotics Middle Aged
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Forecasting one-day-forward wellness conditions for community-dwelling elderly with single lead short electrocardiogram signals.

BMC medical informatics and decision making Dec 30, 2019
BACKGROUND: The accelerated growth of elderly population is creating a heavy burden to the healthcare system in many developed countries and regions. Electrocardiogram (ECG) analysis has been recognized as effective approach to cardiovascular disease...
Models, Theoretical Electrocardiography Health Status Independent Living Humans Machine Learning Forecasting Aged Deep Learning
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Spatial Lifecourse Epidemiology Reporting Standards (ISLE-ReSt) statement.

Health & place Dec 4, 2019
Spatial lifecourse epidemiology is an interdisciplinary field that utilizes advanced spatial, location-based, and artificial intelligence technologies to investigate the long-term effects of environmental, behavioural, psychosocial, and biological fa...
Internationality Spatial Analysis Humans Cohort Studies Artificial Intelligence Health Status Research Design Advisory Committees Public Health Checklist Epidemiologic Studies
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Unsupervised neural network for evaluating the ability of the SF-36 instrument to differentiate individuals.

Eastern Mediterranean health journal = La revue de sante de la Mediterranee orientale = al-Majallah al-sihhiyah li-sharq al-mutawassit Nov 25, 2019
BACKGROUND: Health-related quality of life (HRQoL) and well-being refer to the positive, subjective state that is contrary to illness. HRQoL instruments include some common questionnaires, which may often be understood differently depending on the le...
Humans Adult Male Middle Aged Quality of Life Health Surveys Neural Networks, Computer Machine Learning Algorithms Female Aged Health Status Age Factors Iran Sex Factors
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An automated machine learning-based model predicts postoperative mortality using readily-extractable preoperative electronic health record data.

British journal of anaesthesia Oct 15, 2019
BACKGROUND: Rapid, preoperative identification of patients with the highest risk for medical complications is necessary to ensure that limited infrastructure and human resources are directed towards those most likely to benefit. Existing risk scores ...
Hospital Mortality Health Status California Machine Learning Preoperative Period Electronic Health Records Female Risk Assessment Risk Factors Postoperative Complications Aged Comorbidity Aged, 80 and over Adolescent Humans Young Adult Adult Male Middle Aged
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Common pre-diagnostic features in individuals with different rare diseases represent a key for diagnostic support with computerized pattern recognition?

PloS one Oct 10, 2019
BACKGROUND: Rare diseases (RD) result in a wide variety of clinical presentations, and this creates a significant diagnostic challenge for health care professionals. We hypothesized that there exist a set of consistent and shared phenomena among all ...
Data Mining Patients Rare Diseases Humans Surveys and Questionnaires Artificial Intelligence Adolescent Machine Learning Health Status Health Personnel Chronic Disease Female Young Adult Adult Male
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Machine Learning Prediction of Mortality and Hospitalization in Heart Failure With Preserved Ejection Fraction.

JACC. Heart failure Oct 9, 2019
OBJECTIVES: This study sought to develop models for predicting mortality and heart failure (HF) hospitalization for outpatients with HF with preserved ejection fraction (HFpEF) in the TOPCAT (Treatment of Preserved Cardiac Function Heart Failure with...
Health Status Double-Blind Method Heart Failure Argentina Risk Assessment Brazil ROC Curve Canada United States Machine Learning Prognosis Female Risk Factors Hospitalization Aged Survival Rate Male Stroke Volume Middle Aged Humans
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Machine learning based risk prediction model for asymptomatic individuals who underwent coronary artery calcium score: Comparison with traditional risk prediction approaches.

Journal of cardiovascular computed tomography Sep 23, 2019
BACKGROUND: Machine learning (ML) is a computer algorithm used to identify patterns for prediction in various tasks, and ML methods have been beneficial for developing prediction models when applied to heterogeneous and large datasets. We aim to exam...
Decision Support Techniques Databases, Factual Prognosis Retrospective Studies Republic of Korea Registries Female Risk Factors Coronary Artery Disease Adult Humans Vascular Calcification Male Machine Learning Asymptomatic Diseases Risk Assessment Middle Aged Time Factors Health Status Predictive Value of Tests Coronary Angiography
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Scoring colorectal cancer risk with an artificial neural network based on self-reportable personal health data.

PloS one Aug 22, 2019
Colorectal cancer (CRC) is third in prevalence and mortality among all cancers in the US. Currently, the United States Preventative Services Task Force (USPSTF) recommends anyone ages 50-75 and/or with a family history to be screened for CRC. To impr...
Self Report Practice Guidelines as Topic Medical History Taking Diabetes Mellitus Humans Health Status Neural Networks, Computer Early Detection of Cancer Models, Statistical Male Prognosis Female Cardiovascular Diseases Risk Factors Middle Aged Aged Health Surveys Colorectal Neoplasms United States
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