Bayesian network predicts dropout risk in continuing education learners
A new Bayesian network framework predicts dropout risk in online continuing education with 88.9 percent cross-validated accuracy and recommends personalized ...
Tag: Bayesian networks
Hidden Abuse Patterns Emerge Among Male Adolescents in Ibadan, Nigeria
A secondary latent class and Bayesian network analysis of 472 in-school male adolescents in Ibadan found reported abuse experiences cluster ...
From Association to Cause: Review Maps Causal Inference Methods for Alzheimer’s Molecular Data
A new review surveys causal-inference methods applied to Alzheimer's molecular data, finding that many observational associations lack genetic support and ...
Network Analysis Pinpoints Coping Targets to Boost Marital Quality in Colorectal Cancer Couples
A network analysis of 522 Chinese colorectal cancer patient–spouse dyads identified supportive coping as the most central node and simulated ...
Bayesian Network Matches Classifiers for IgE Sensitization Risk
A Bayesian network calibrated sensitization probabilities in 8,285 NHANES participants while matching logistic regression and random forest for discrimination, offering ...
Cross-sectional survey identifies two LLM-dependence profiles among 709 Chinese nursing students
A cross-sectional survey of 709 nursing students at two Chinese universities identified two LLM-dependence profiles and used network analyses and ...
Bayesian networks estimate regulating-service assets for Oslo’s urban tree canopies
A Bayesian-network study combining field observations and lidar mapping estimated the 2014 regulating-service asset value of 406,000 tree canopies in ...
Scientists Map the Hidden Network Behind Esports Players’ Mental Health
A study of over 1,000 esports players uses network analysis to reveal how depression, fatigue, sleep problems and gaming preoccupation ...
A Mexican City’s Heat Island Doubled as El Niño’s Grip Grew Stronger
A new study of Tepic, Mexico finds that as the city's urban heat island expanded by over 60 percent, El ...
Pruning Bayesian Networks: Smarter Model Calibration for Deep-Space Digital Twins
Carnegie Mellon researchers show that pruning Bayesian networks with domain-driven metrics outperforms purely statistical methods for multi-model calibration in aerospace ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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