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Improving preoperative prediction of surgery duration
BackgroundOperating rooms (ORs) are one of the costliest units in a hospital, therefore the cumulative consequences of any kind of inefficiency in OR...
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Development of an image-based Random Forest classifier for prediction of surgery duration of laparoscopic sigmoid resections
PurposeSigmoid diverticulitis is a disease with a high socioeconomic burden, accounting for a high number of left-sided colonic resections worldwide....
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Zero-leak prediction during major lung resection aiming for minimal chest drainage duration: a retrospective analysis
BackgroundEarly chest tube removal should be considered to enhance recovery after surgery. The current study aimed to provide a predictive algorithm...
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Action prediction in psychosis
Aberrant motor-sensory predictive functions have been linked to symptoms of psychosis, particularly reduced attenuation of self-generated sensations...
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Association between breastfeeding duration and diabetes mellitus in menopausal women: a machine-learning analysis using population-based retrospective study
BackgroundBreastfeeding resets insulin resistance caused by pregnancy however, studies on the association between breastfeeding and diabetes mellitus...
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Prediction of complications and surgery duration in primary TKA with high accuracy using machine learning with arthroplasty-specific data
PurposeThe number of primary total knee arthroplasties (TKA) is expected to rise constantly. For patients and healthcare providers, the early...
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Losses of lifetime employment duration and productivity for patients with different subtypes and stages of lung cancer
BackgroundHow different subtypes and stages of lung cancer affect morbidity- and mortality-associated productivity have not been investigated. This...
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Improving case duration accuracy of orthopedic surgery using bidirectional encoder representations from Transformers (BERT) on Radiology Reports
PurposeA major source of inefficiency in the operating room is the mismatch between scheduled versus actual surgical time. The purpose of this study...
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Construction and Validation of a Clinical Prediction Model for Predicting Tubal Pregnancy Rupture Based on Nomogram
AimTo explore the risk factors for tubal rupture in tubal pregnancy, construct and validate a prediction model for tubal rupture.
Methods ...
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Polygenic predisposition, sleep duration, and depression: evidence from a prospective population-based cohort
Suboptimal sleep durations and depression frequently cooccur. Short-sleep and long-sleep are commonly thought of as symptoms of depression, but a...
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Prediction of injury localization in preoperative patients with gastrointestinal perforation: a multiomics model analysis
BackgroundThe location of gastrointestinal perforation is essential for severity evaluation and optimizing the treatment approach. We aimed to...
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Risk factors and prediction of hypoglycaemia using the Hypo-RESOLVE cohort: a secondary analysis of pooled data from insulin clinical trials
Aims/hypothesisThe objective of the Hypoglycaemia REdefining SOLutions for better liVES (Hypo-RESOLVE) project is to use a dataset of pooled clinical...
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Prediction models for amputation after diabetic foot: systematic review and critical appraisal
BackgroundNumerous studies have developed or validated prediction models aimed at estimating the likelihood of amputation in diabetic foot (DF)...
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Prediction model for cognitive impairment in maintenance hemodialysis patients
PurposeTo explore the risk factors for cognitive impairment in patients undergoing maintenance hemodialysis (MHD) and construct a predictive model...
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Machine learning-based prediction model for postoperative delirium in non-cardiac surgery
BackgroundPostoperative delirium is a common complication that is distressing. This study aimed to demonstrate a prediction model for delirium.
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Symptom duration is not associated with per oral endoscopic myotomy (POEM) failure
IntroductionPer oral endoscopic myotomy (POEM) is a relatively novel technique to address achalasia; however, little is known about the efficacy of...
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Development and validation of prediction model to estimate vertigo risk after endolymphatic sac decompression in Meniere’s disease: a retrospective cohort study
PurposeTo study the efficacy predictors of endolymphatic sac decompression (ESD) in Meniere’s disease (MD), and to establish and verify the...
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Association of sleep duration with atrial fibrillation/flutter mortality in the United States: a cross-sectional analysis
BackgroundThe association between sleep duration and atrial fibrillation risk is poorly understood, with inconsistent findings reported by several...
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Associations between sleep duration, sleep disturbance and cardiovascular disease biomarkers among adults in the United States
BackgroundSleep problems are associated with abnormal cardiovascular biomarkers and an increased risk of cardiovascular diseases (CVDs). However,...
