AIMC Topic: Health Status

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Cardiorespiratory and metabolic demand of the 6-minute pegboard and ring test in healthy young adults.

Journal of bodywork and movement therapies Oct 9, 2021
OBJECTIVE: To determine the cardiorespiratory and metabolic demand of the Six-Minute Pegboard and Ring Test (6PBRT) in healthy young adults and its association with maximal arm cycle ergometer test (arm CET).
Oxygen Consumption Exercise Test Heart Rate Arm Humans Dyspnea Young Adult Health Status Hand Strength
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Digital Twins for Multiple Sclerosis.

Frontiers in immunology May 3, 2021
An individualized innovative disease management is of great importance for people with multiple sclerosis (pwMS) to cope with the complexity of this chronic, multidimensional disease. However, an individual state of the art strategy, with precise adj...
Humans Artificial Intelligence Precision Medicine Prognosis Health Status Clinical Decision-Making Patient-Centered Care Multiple Sclerosis Patient-Specific Modeling
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Analysing the predictive capacity and dose-response of wellness in load monitoring.

Journal of sports sciences Jan 6, 2021
This study aimed to identify the predictive capacity of wellness questionnaires on measures of training load using machine learning methods. The distributions of, and dose-response between, wellness and other load measures were also examined, offerin...
Health Status Regression Analysis Decision Trees Physical Exertion Football Fatigue Motivation Machine Learning Sports Sleep Geographic Information Systems Humans Soccer Affect Surveys and Questionnaires Myalgia Stress, Psychological Physical Conditioning, Human Cricket Sport Wearable Electronic Devices Perception
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Modeling the human aging transcriptome across tissues, health status, and sex.

Aging cell Dec 18, 2020
Aging in humans is an incredibly complex biological process that leads to increased susceptibility to various diseases. Understanding which genes are associated with healthy aging can provide valuable insights into aging mechanisms and possible avenu...
Transcriptome Health Status Sex Factors Humans Machine Learning Aging
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Five novel clinical phenotypes for critically ill patients with mechanical ventilation in intensive care units: a retrospective and multi database study.

Respiratory research Dec 10, 2020
BACKGROUND: Although protective mechanical ventilation (MV) has been used in a variety of applications, lung injury may occur in both patients with and without acute respiratory distress syndrome (ARDS). The purpose of this study is to use machine le...
Humans Machine Learning Intensive Care Units Female Reproducibility of Results Risk Factors Aged Decision Support Techniques Phenotype Databases, Factual Retrospective Studies Critical Illness Lung Treatment Outcome Health Status Predictive Value of Tests Ventilator-Induced Lung Injury Adult Male Middle Aged Risk Assessment Respiration, Artificial
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Intelligent checklists improve checklist compliance in the intensive care unit: a prospective before-and-after mixed-method study.

British journal of anaesthesia Nov 17, 2020
BACKGROUND: We examined whether a context and process-sensitive 'intelligent' checklist increases compliance with best practice compared with a paper checklist during intensive care ward rounds.
Attitude to Computers Teaching Rounds Guideline Adherence Health Status Paper Benchmarking Critical Care Quality Improvement Quality Indicators, Health Care Practice Guidelines as Topic Checklist Practice Patterns, Physicians' Patient Safety Prospective Studies Intensive Care Units Length of Stay Decision Support Systems, Clinical Humans Artificial Intelligence
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Predicting preventable hospital readmissions with causal machine learning.

Health services research Oct 30, 2020
OBJECTIVE: To assess both the feasibility and potential impact of predicting preventable hospital readmissions using causal machine learning applied to data from the implementation of a readmissions prevention intervention (the Transitions Program).
Humans Machine Learning Age Factors Retrospective Studies Sex Factors Continuity of Patient Care Male Electronic Health Records Patient Readmission Middle Aged Female Health Services Research Risk Factors Risk Assessment Diagnostic Techniques and Procedures Aged Severity of Illness Index Health Status
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Predicting human health from biofluid-based metabolomics using machine learning.

Scientific reports Oct 19, 2020
Biofluid-based metabolomics has the potential to provide highly accurate, minimally invasive diagnostics. Metabolomics studies using mass spectrometry typically reduce the high-dimensional data to only a small number of statistically significant feat...
Health Status Metabolomics Humans Machine Learning Databases, Factual Models, Theoretical
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Prognostic importance of Kidney, Heart and Interstitial lung diseases (KHI triad) in PH: A machine learning study.

Archives of cardiovascular diseases Sep 2, 2020
BACKGROUND: Pulmonary hypertension (PH) is a heterogeneous, severe and progressive disease with an impact on quality of life and life-expectancy despite specific therapies.
Cluster Analysis Kidney Diseases Registries Lung Diseases, Interstitial Data Mining Heart Diseases France Pulmonary Arterial Hypertension Male Middle Aged Risk Assessment Humans Comorbidity Female Machine Learning Health Status Risk Factors Phenotype Aged Prospective Studies Aged, 80 and over Prognosis
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Can robotic gait rehabilitation plus Virtual Reality affect cognitive and behavioural outcomes in patients with chronic stroke? A randomized controlled trial involving three different protocols.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jun 13, 2020
BACKGROUND: The rehabilitation of cognitive and behavioral abnormalities in individuals with stroke is essential for promoting patient's recovery and autonomy. The aim of our study is to evaluate the effects of robotic neurorehabilitation using Lokom...
Italy Stroke Gait Humans Health Status Exercise Therapy Middle Aged Female Activities of Daily Living Recovery of Function Attention Quality of Life Adult Affect Chronic Disease Time Factors Mental Health Robotics Virtual Reality Exposure Therapy Male Cognition Disability Evaluation Stroke Rehabilitation Treatment Outcome Executive Function
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