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Improved performance of machine learning models in predicting length of stay, discharge disposition, and inpatient mortality after total knee arthroplasty using patient-specific variables
BackgroundThis study aimed to compare the performance of ten predictive models using different machine learning (ML) algorithms and compare the...
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Evaluation of cross-cultural adaptation and validation of the Persian version of the critical thinking disposition scale: methodological study
IntroductionAssessing critical thinking disposition is crucial in nursing education to foster analytical skills essential for effective healthcare...
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The effect of liver dysfunction on the pharmacokinetic disposition of belinostat and its five metabolites in patients with advanced cancers
Belinostat was approved in 2014 for the treatment of relapsed or refractory peripheral T-cell lymphoma, however, there was insufficient data to...
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Pharmacodynamic-Mediated Drug Disposition (PDMDD) Model of Daratumumab Monotherapy in Patients with Multiple Myeloma
Background and ObjectiveWe aimed to quantify the daratumumab concentration- and CD38 dynamics-dependent pharmacokinetics using a pharmacodynamic...
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Early prediction of patient discharge disposition in acute neurological care using machine learning
BackgroundAcute neurological complications are some of the leading causes of death and disability in the U.S. The medical professionals that treat...
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Prediction across healthcare settings: a case study in predicting emergency department disposition
Several approaches exist today for develo** predictive models across multiple clinical sites, yet there is a lack of comparative data on their...
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The relationship and predictive value of dementia and frailty for mortality in patients with surgically managed hip fractures
BackgroundBoth dementia and frailty have been associated with worse outcomes in patients with hip fractures. However, the interrelation and...
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Neural network models accurately predict discharge disposition after revision total knee arthroplasty?
PurposeBased on the rising incidence of revision total knee arthroplasty (TKA), bundled payment models may be applied to revision TKA in the near...
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Unraveling Complexities in the Absorption and Disposition Kinetics of Abiraterone via Iterative PBPK Model Development and Refinement
Background and ObjectiveAbiraterone is a first-in-class inhibitor of cytochrome P450 17A1 (CYP17A1), and its pharmacokinetic (PK) profile is...
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Development and validation of a predictive models for predicting the cardiac events within one year for patients underwent percutaneous coronary intervention procedure at IJN
PurposePercutaneous coronary intervention (PCI) is a common treatment modality for coronary artery disease. Accurate prediction of patients at risk...
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Patient recalls associated with resident-to-attending radiology report discrepancies: predictive factors for risky discrepancies
BackgroundThis study aimed to identify predictive factors for risky discrepancies in the emergency department (ED) by analyzing patient recalls...
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Infliximab Treatment Does Not Lead to Full TNF-α Inhibition: A Target-Mediated Drug Disposition Model
Background and ObjectiveInfliximab, an anti-tumour necrosis factor (TNF)-α monoclonal antibody, has been approved in chronic inflammatory disease,...
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Towards More Robust Evaluation of the Predictive Performance of Physiologically Based Pharmacokinetic Models: Using Confidence Intervals to Support Use of Model-Informed Dosing in Clinical Care
Background and ObjectiveWith the rise in the use of physiologically based pharmacokinetic (PBPK) modeling over the past decade, the use of PBPK...
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Predictive Ability of Comorbidity Indices for Surgical Morbidity and Mortality: a Systematic Review and Meta-analysis
BackgroundSeveral contemporary risk stratification tools are now being used since the development of the Charlson Comorbidity Index (CCI) in 1987....
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Predictive value of total psoas muscle index for postoperative physical functional decline in older patients undergoing emergency abdominal surgery
BackgroundOlder individuals increasingly require emergency abdominal surgeries. They are susceptible to surgical stress and loss of independence in...
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Predictive Potential of Acido-Basic Properties, Solubility and Food on Bioequivalence Study Outcome: Analysis of 128 Studies
Background and ObjectivesRisk assessment related to bioequivalence study outcome is critical for effective planning from the early stage of drug...
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Metabolomics analysis of type 2 diabetes remission identifies 12 metabolites with predictive capacity: a CORDIOPREV clinical trial study
BackgroundType 2 diabetes mellitus (T2DM) is one of the most widely spread diseases, affecting around 90% of the patients with diabetes. Metabolomics...
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Moderating Influence of Predictive Control on the Near-Miss Effect-Gambling Intention Association in Nigerian Polytechnic Students
Empirical evidence supports the association of near-miss effect with gambling. However, erroneous cognitions may either amplify or attenuate this...
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A machine-learning-based prediction of non-home discharge among acute heart failure patients
BackgroundScarce data on factors related to discharge disposition in patients hospitalized for acute heart failure (AHF) were available, and we...
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The predictive value of C-reactive protein to albümin ratio for ascending aort progression in patients with ascending aortic diameter of 40–50 mm
We aimed to investigate the ability of the C-reactive protein-to-albumin ratio (CAR) to predict ascending aorta progression in patients with 40–50 mm...
