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Disability and remote work during the pandemic with implications for cancer survivors
PurposeThis article examines the extent to which employees worked from home because of the pandemic, focusing on differentials between people with...
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Liver function test indices-based prediction model for post-stroke depression: a multicenter, retrospective study
BackgroundPost-stroke depression (PSD) was one of the most prevalent and serious neuropsychiatric effects after stroke. Nevertheless, the association...
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Association of pain-related threat beliefs and disability with postural control and trunk motion in individuals with low back pain: a systematic review and meta-analysis
PurposeLow back pain (LBP) individuals with high levels of fear of pain might display changes in motor behavior, which leads to disability. This...
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Machine learning-based models for the prediction of breast cancer recurrence risk
Breast cancer is the most common malignancy diagnosed in women worldwide. The prevalence and incidence of breast cancer is increasing every year;...
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Variability in the prevalence of depression among adults with chronic pain: UK Biobank analysis through clinical prediction models
BackgroundThe prevalence of depression among people with chronic pain remains unclear due to the heterogeneity of study samples and definitions of...
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Dermatological disease prediction and diagnosis system using deep learning
The prevalence of skin illnesses is higher than that of other diseases. Fungal infection, bacteria, allergies, viruses, genetic factors, and...
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Combined nutritional status and activities of daily living disability is associated with one-year mortality after hip fracture surgery for geriatric patients: a retrospective cohort study
ObjectiveWe aimed to explore the association combined nutritional status and activities of daily living disability with all-cause mortality of older...
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AI algorithms for accurate prediction of osteoporotic fractures in patients with diabetes: an up-to-date review
Osteoporotic fractures impose a substantial burden on patients with diabetes due to their unique characteristics in bone metabolism, limiting the...
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Identifying key environmental barriers experienced by persons with mild, moderate, or severe disability in Bankim Health District, Cameroon: a policy-targeted secondary analysis of data obtained with the World Bank and WHO model disability survey
BackgroundComprehensive data is key for evidence-informed policy aiming to improve the lives of persons experiencing different levels of disability....
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A dynamic prediction model for preeclampsia using the sFlt-1/PLGF ratio combined with multiple factors
ObjectivePreeclampsia (PE) is a pregnancy-related multi-organ disease and a significant cause of incidence rate and mortality of pregnant women and...
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Development and validation of non-invasive prediction models for migraine in Chinese adults
BackgroundMigraine is a common disabling neurological disorder with severe physical and psychological damage, but there is a lack of convenient and...
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The assessment of capacity limitations in psychiatric work disability evaluations by the social functioning scale Mini-ICF-APP
ObjectiveInsurers frequently commission medical experts to estimate the degree of the remaining work capacity (RWC) in claimants for disability...
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Frailty, but not cognitive impairment, improves mortality risk prediction among those with chronic kidney disease—a nationally representative study
BackgroundThough older adults with chronic kidney disease (CKD) have a greater mortality risk than those without CKD, traditional risk factors poorly...
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Machine learning and the prediction of suicide in psychiatric populations: a systematic review
Machine learning (ML) has emerged as a promising tool to enhance suicidal prediction. However, as many large-sample studies mixed psychiatric and...
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Development of a map** function ("crosswalk") for the conversion of scores between the Oswestry Disability Index (ODI) and the Core Outcome Measures Index (COMI)
IntroductionThe Oswestry Disability Index (ODI) and the Core Outcome Measures Index (COMI) are two commonly used self-rating outcome instruments in...
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Biopsychosocial Approach in Identifying Risk Factors of Kinesiophobia in Persons with Subacromial Pain Syndrome and Develo** a Clinical Prediction Tool
IntroductionAlthough the negative effects of kinesiophobia on functional status in subacromial pain syndrome (SAPS) patients are clearly...
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Risk-targeted behavioral activation for the management of work disability associated with comorbid pain and depression: a feasibility study
PurposeThe purpose of the present study was to conduct a preliminary evaluation of the feasibility and impact of a risk-targeted behavioral...
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Machine learning in the prediction of massive transfusion in trauma: a retrospective analysis as a proof-of-concept
PurposeEarly administration and protocolization of massive hemorrhage protocols (MHP) has been associated with decreases in mortality, multiorgan...
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Role of machine learning algorithms in suicide risk prediction: a systematic review-meta analysis of clinical studies
ObjectiveSuicide is a complex and multifactorial public health problem. Understanding and addressing the various factors associated with suicide is...
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Finnish diabetes risk score outperformed triglyceride-glucose index in diabetes risk prediction
PurposeTriglyceride-Glucose (TyG) index is a surrogate marker of insulin resistance. This study compared the performance of TyG index and the Finnish...
