Results 161 to 170 of about 36,558 (266)
An Effective Model-Based Voting Classifier for Diabetes Mellitus Classification. [PDF]
Zeebaree DQ +7 more
europepmc +1 more source
Abstract Cyanobacterial harmful algal blooms (cHABs) are increasingly frequent and severe globally. Recently, the St. Louis River Estuary (SLRE) has experienced numerous cHABs, but the locations, timing, and environmental conditions associated with them are unknown.
Peter A. Birschbach +3 more
wiley +1 more source
Leveraging 3D Heart Visualisation and Data Balancing Techniques for ECG Classification. [PDF]
Amara K +4 more
europepmc +1 more source
Cross‐Sectional Studies: Strengths, Limitations, and Methodological Considerations
Cross‐sectional studies measure variables at a single time point to estimate prevalence and support descriptive epidemiology ‐ characterizing population health, tracking trends via repeated surveys – and for developing and validating screening instruments and diagnostic models.
Sebastian‐Edgar Baumeister +4 more
wiley +1 more source
Identification of Predictors of Adaptability in Older Adults Based on the Roy Adaptation Model Using Machine Learning. [PDF]
Chavarro JG +4 more
europepmc +1 more source
ABSTRACT Emerging evidence links COVID‐19 to the predisposition of Parkinson's disease (PD). However, the relationship between long COVID and prodromal PD‐like features remains unclear, particularly in long COVID participants with dream‐enactment behaviours (DEBs) that may be suggestive of possible REM sleep behaviour disorder.
Siyi Gong +28 more
wiley +1 more source
Comprehensive blood glucose level prediction from HbA<sub>1c</sub> levels using machine learning models across the biological range. [PDF]
Okyay TM, Yilmaz I, Koldas M.
europepmc +1 more source
ABSTRACT The present study examines how religion shapes partnership formation and religious homogamy among Syrian and Afghan male refugees who arrived in Germany during the 2015/16 influx. It provides new insights by focusing on a particularly vulnerable group of refugees who are culturally distant from the host society and comparing them to ...
Jana Kuhlemann +3 more
wiley +1 more source
AI-ECG classification for Brugada syndrome: A study of machine learning techniques to optimise for limited datasets. [PDF]
Saleh K +21 more
europepmc +1 more source
Religious Service Attendance and Interracial Romance: The Non‐Evangelical Story
ABSTRACT Religious service attendance is a consistent negative predictor of interracial romance in the United States, yet less is known about how specific religious affiliations shape this relationship. Using the Collaborative Multiracial Post‐Election Survey (CMPS 2020, N = 7883), this study examines how attendance frequency and religious affiliation ...
Heewon Yang
wiley +1 more source

