Results 161 to 170 of about 119,463 (291)
Machine Learning-Based Early Prediction of Gestational Diabetes Using First-Trimester Laboratory Parameters. [PDF]
Prashanthan J, Prashanthan A.
europepmc +1 more source
Abstract The ray‐finned fishes include one out of every two species of living vertebrates on Earth and have an abundant fossil record stretching 380 million years into the past. The division of systematic knowledge of ray‐finned fishes between paleontologists working on extinct animals and neontologists studying extant species has obscured the ...
Jack Stack
wiley +1 more source
Bayesian networks for predicting clinical outcomes in COVID-19 patients: A retrospective study in a resource-limited setting. [PDF]
Filamant TC +2 more
europepmc +1 more source
Objective To assess the 2022 American College of Rheumatology (ACR)/EULAR classification criteria for antineutrophil cytoplasmic antibody–associated vasculitis (AAV) in children with chronic small‐to‐medium vessel vasculitis. Methods A cohort of 574 patients, identified by physician's diagnosis (MD‐diagnosis) in A Registry of Childhood Vasculitis, was ...
David A. Cabral +41 more
wiley +1 more source
Determination of Malignancy Risk Factors Using Gallstone Data and Comparing Machine Learning Methods to Predict Malignancy. [PDF]
Cetin S +4 more
europepmc +1 more source
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh +4 more
wiley +1 more source
Identifying vulnerable groups of community-dwelling older adults with a strong willingness to receive volunteer services based on machine learning methods. [PDF]
Huang L +13 more
europepmc +1 more source
Hyonho Lee
semanticscholar +1 more source
Adverse Childhood Experiences in Autistic and Neurotypical Girls
ABSTRACT Adverse childhood experiences (ACEs) are potentially traumatic, life‐altering events that occur in childhood with long‐term negative physical and/or mental health outcomes. Previous research, while limited and largely focused on males, suggests children with autism spectrum disorder (ASD) are at higher risk of experiencing ACEs than typically ...
Jon Ebert +4 more
wiley +1 more source
CT-based texture analysis predicts BRAF<sup>V600E</sup> mutation in calcified papillary thyroid carcinoma. [PDF]
Chen Y +6 more
europepmc +1 more source

