AIMC Topic: Health Status Indicators

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Dynamic Bayesian networks for prediction of health status and treatment effect in patients with chronic lymphocytic leukemia.

Scientific reports Feb 2, 2022
Chronic lymphocytic leukemia (CLL) is the most common blood cancer in adults. The course of CLL and patients' response to treatment are varied. This variability makes it difficult to select the most appropriate treatment regimen and predict the progr...
Risk Factors Aged Leukemia, Lymphocytic, Chronic, B-Cell Male Artificial Intelligence Decision Support Techniques Clinical Decision-Making Female Treatment Outcome Health Status Predictive Value of Tests Bayes Theorem Humans Health Status Indicators Middle Aged Risk Assessment Disease Progression Time Factors
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A Shape-Constrained Neural Data Fusion Network for Health Index Construction and Residual Life Prediction.

IEEE transactions on neural networks and learning systems Oct 27, 2021
With the rapid development of sensor technologies, multisensor signals are now readily available for health condition monitoring and remaining useful life (RUL) prediction. To fully utilize these signals for a better health condition assessment and R...
Humans Neural Networks, Computer Forecasting Algorithms Longevity Health Status Indicators
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The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring County-Level Vulnerability Using Visualization, Statistical Modeling, and Machine Learning.

Environmental health perspectives Jan 5, 2021
Data Visualization COVID-19 Humans Vulnerable Populations Machine Learning Models, Statistical Health Status Indicators
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PsychoAge and SubjAge: development of deep markers of psychological and subjective age using artificial intelligence.

Aging Dec 8, 2020
Aging clocks that accurately predict human age based on various biodata types are among the most important recent advances in biogerontology. Since 2016 multiple deep learning solutions have been created to interpret facial photos, omics data, and cl...
Female Aged Adult Mental Health Humans Neural Networks, Computer United States Models, Theoretical Age Factors Health Behavior Male Aging Middle Aged Quality of Life Social Behavior Health Status Indicators
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Risk stratification for mortality in cardiovascular disease survivors: A survival conditional inference tree analysis.

Nutrition, metabolism, and cardiovascular diseases : NMCD Oct 3, 2020
BACKGROUND AND AIMS: Efficient analysis strategies for complex network with cardiovascular disease (CVD) risk stratification remain lacking. We sought to identify an optimized model to study CVD prognosis using survival conditional inference tree (SC...
Proteinuria Health Status Indicators Middle Aged Risk Assessment China Time Factors Risk Factors Hyperglycemia Age Factors Humans Machine Learning Aged Predictive Value of Tests Male Prognosis Cause of Death Cardiovascular Diseases Female Reproducibility of Results
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Gait can reveal sleep quality with machine learning models.

PloS one Sep 25, 2019
Sleep quality is an important health indicator, and the current measurements of sleep rely on questionnaires, polysomnography, etc., which are intrusive, expensive or time consuming. Therefore, a more nonintrusive, inexpensive and convenient method n...
Self Report Healthy Volunteers Sleep Polysomnography Health Status Indicators Young Adult Adult Male Gait Humans Machine Learning Female
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Simple Linear Support Vector Machine Classifier Can Distinguish Impaired Glucose Tolerance Versus Type 2 Diabetes Using a Reduced Set of CGM-Based Glycemic Variability Indices.

Journal of diabetes science and technology Mar 31, 2019
BACKGROUND: Many glycemic variability (GV) indices exist in the literature. In previous works, we demonstrated that a set of GV indices, extracted from continuous glucose monitoring (CGM) data, can distinguish between stages of diabetes progression. ...
Humans Algorithms Female Diagnosis, Differential Predictive Value of Tests Glycemic Control Datasets as Topic Data Interpretation, Statistical Middle Aged Health Status Indicators Reproducibility of Results Glucose Intolerance Blood Glucose Self-Monitoring Blood Glucose Aged Diabetes Mellitus, Type 2 Adult Support Vector Machine Male
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Application of artificial neural network in medical geochemistry.

Environmental geochemistry and health Mar 28, 2017
For the evaluation of various adverse health effects of chemical elements occurring in the environment on humans, the comparison and linking of geochemical data (chemical composition of groundwater, soils, and dusts) with data on health status of pop...
Slovakia Neural Networks, Computer Female Soil Male Humans Cause of Death Environmental Pollutants Life Expectancy Health Status Indicators Dust Groundwater Environmental Monitoring Data Interpretation, Statistical
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Development and validation of a brain maturation index using longitudinal neuroanatomical scans.

NeuroImage May 30, 2015
BACKGROUND: Major psychiatric disorders are increasingly being conceptualized as 'neurodevelopmental', because they are associated with aberrant brain maturation. Several studies have hypothesized that a brain maturation index integrating patterns of...
Longitudinal Studies Magnetic Resonance Imaging Health Status Indicators Humans Male Machine Learning Adolescent Brain Child, Preschool Female Child
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Re: A prospective study examining the association between preoperative frailty and postoperative complications in patients undergoing minimally invasive surgery.

The Journal of urology Dec 8, 2014
Postoperative Complications Humans Body Mass Index Female Robotics Endoscopy Health Status Indicators Male
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