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Work Disability Risk Prediction Using Machine Learning
Virtually all developed countries share the problem of too many employees leaving the labor market permanently due to disability or health problems....
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Time-Dependent Deep Learning Prediction of Multiple Sclerosis Disability
The majority of deep learning models in medical image analysis concentrate on single snapshot timepoint circumstances, such as the identification of...
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The Prediction of Healthcare Utilization by Frailty and Disability among Dutch Community-Dwelling People Aged 75 Years or Older
BackgroundPopulation aging is occurring worldwide. As a result, frailty and disability are in the full interest of practice, policy, and science. An...
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Machine Learning–Based Prediction of Functional Disability: a Cohort Study of Japanese Older Adults in 2013–2019
BackgroundIt is important to identify older adults at high risk of functional disability and to take preventive measures for them at an early stage....
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Ethical Aspects of Work Disability Risk Prediction Using Machine Learning
Our study focuses on the areas of social and economic sustainability in machine learning. The risk of work disability can be predicted with machine...
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Interpretable classifiers for prediction of disability trajectories using a nationwide longitudinal database
ObjectivesTo explore the heterogeneous disability trajectories and construct explainable machine learning models for effective prediction of...
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Toward Healthy Aging: Temporal Regression for Disability Prediction and Warning Decision-Making
Virtually all countries in the world are experiencing growth in the number and proportion of seniors in their population. Almost half of these...
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Prediction of disability-free survival in healthy older people
Prolonging survival in good health is a fundamental societal goal. However, the leading determinants of disability-free survival in healthy older...
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Work Disability Risk Prediction with Text Classification of Medical Reports
Due to digitalization, more and more data on an individual’s well-being is available in various repositories owned by different organizations....
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Preterm General Movements in Prediction of Neurodevelopmental Disability and Cerebral Palsy at Two Years: A Prospective Cohort Study
BackgroundA neurological assessment before discharge from the NICU would enable early targeted intervention to mitigate the risk and severity of...
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Explainability of Machine Learning in Work Disability Risk Prediction
The risk of work disability can be predicted with machine learning (ML). All stakeholders should understand how the estimation is done to trust the...
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Development and temporal validation of clinical prediction models for 1-year disability and pain after lumbar decompressive surgery. The Norwich Lumbar Surgery Predictor (development version)
PurposeTo identify clinical predictors and build prediction models for 1-year patient-reported outcomes measures (PROMs) after lumbar decompressive...
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Prediction of acute cerebrovascular stroke disability using mSOAR score (Stroke subtype, Oxfordshire Community Stroke Project, age, mRS and NIHSS)
BackgroundStroke is among the most prevalent causes of disability. An easy reliable tool to predict stroke outcomes will help manage neurological and...
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Disability prevalence: comparing four types of disability measures in the community
BackgroundThere is no general consensus on how to measure disability and disability prevalence rates. The results of previous estimates could not be...
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Novel physical performance-based models for activities of daily living disability prediction among Chinese older community population: a nationally representative survey in China
BackgroundPhysical performances including upper and lower limb functions have predictive roles in activities of daily living (ADL) disability, but...
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Work Disability Risk Prediction Using Machine Learning, Comparison of Two Methods
The risk of work disability can be predicted with machine learning and using various data sources. In this study, we compare two methods that use...
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Prediction of human health risk and disability-adjusted life years induced by heavy metals exposure through drinking water in Fars Province, Iran
Exposure to heavy metals in contaminated drinking water is strongly correlated with various cancers, highlighting the burden of disease. This study...
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Predicting work disability among people with chronic conditions: a prospective cohort study
Few risk prediction scores are available to identify people at increased risk of work disability, particularly for those with an existing morbidity....
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STO-CVAE: state transition-oriented conditional variational autoencoder for data augmentation in disability classification
The class imbalance problem occurs when there is an unequal distribution of classes in a dataset and is a significant issue in various artificial...
