Predicting pharmacy choice for managed care network design. [PDF]
Irungu M +6 more
europepmc +1 more source
Objective Race and household income impact outcomes in patients with rheumatic conditions; however, their role in pediatric antineutrophil cytoplasmic antibody (ANCA)–associated vasculitis (AAV) remains poorly understood. We aimed to evaluate whether race and ethnicity and household income are associated with severe AAV disease and renal outcomes among
Roberto Alejandro Valdovinos +2 more
wiley +1 more source
Machine Learning for Revision Joint Arthroplasty: A Systematic Review of Distinct Challenges, Current Performance, and Clinical Readiness. [PDF]
Yeramosu T +8 more
europepmc +1 more source
The Gut–Heart Axis in Systemic Sclerosis: Evidence From a Large Prospective Early Disease Cohort
Objective Cardiac involvement significantly impacts prognosis in systemic sclerosis (SSc), highlighting the need for early risk stratification. Gastrointestinal (GI) symptoms are common and often manifest early. Emerging data suggest a link between GI and cardiac manifestations, possibly through shared mechanisms like dysautonomia.
Francesca R. Di Ciommo +9 more
wiley +1 more source
A hybrid model to study the demographic profile of women in view of assisted reproductive techniques through machine learning models. [PDF]
Latika, Arora R.
europepmc +1 more source
Distinct Systemic Sclerosis Phenotypes Related to Ethnicity: An Opportunity to Personalize Care?
Objective The objective is to describe and compare demographic, clinical, and serological characteristics of patients with systemic sclerosis (SSc) according to ethnic background. Methods Participants enrolled in the Canadian Scleroderma Research Group cohort who self‐identified to a single ethnicity group were included.
Danick Goulet +11 more
wiley +1 more source
Applying explainable artificial intelligence to interpret supervised ensemble learning models for robust credit card fraud detection. [PDF]
Awad SS +3 more
europepmc +1 more source
Cross-sectional and longitudinal methods for describing the growth curve of Brahman females. [PDF]
Borges LRT +5 more
europepmc +1 more source
Development of automated machine learning models in predicting colorectal adenoma in metabolic-associated steatotic liver disease. [PDF]
Liu L, Zhang H, Zhao Z, Xu C, Qu S.
europepmc +1 more source
Development and Validation of an Explainable Machine Learning Model for Identification of Dysphagia in Patients with COPD. [PDF]
Zhou C +7 more
europepmc +1 more source

