Latent class model identifies breast cancer treatment archetypes
A latent class framework identified six treatment-pattern groups among women with breast cancer and classified held-out patients with 99.68% agreement ...
Tag: Random Forest
Prospective Vietnamese cohort tests explainable machine learning for acute heart failure mortality
A prospective Vietnamese cohort found that explainable machine learning could rank in-hospital mortality risk in acute heart failure, but it ...
Expanded Predictors Improve Classification of Adolescent Overweight and Obesity
A cross-sectional analysis of 17,814 U.S. adolescents found that expanded predictors improved classification of current overweight or obesity, but not ...
SpecLLM feature-based VNIR representations improve selected LLM classification tasks
A Scientific Reports abstract reports that SpecLLM’s compact VNIR features improved selected LLM blood-substance classification over raw numerical encodings, although ...
Namibia climate-vegetation model predicts significant contraction for half of major vegetation units by 2080
A modelling study using 1,986 vegetation records and climate projections predicted significant contraction for half of Namibia’s major vegetation units ...
Explainable machine learning predicts self-reported ESG adoption among bank-connected Malaysian SMEs
A cross-sectional study of 457 formal-sector, bank-connected Malaysian SMEs found that machine-learning models could classify self-reported ESG adoption, with Random ...
Ten-day rainfall history improves Southern California landslide detection
A Southern California study found that 10-day antecedent rainfall improved shallow-landslide detection, but false alarms remained high and machine learning ...
Object-based models map burned forests in Mediterranean transfer tests
Object-based machine-learning models mapped burned forests from Sentinel-2 imagery, retaining overall accuracies above 83% in transfer tests at selected Mediterranean ...
Research report: Same area, different timeframes: unveiling the evolution of landslide patterns and their impact on susceptibility maps
A study of 1,518 landslides in Wanzhou found that machine-learning susceptibility maps with strong within-period accuracy often transferred less reliably ...
Leakage-Free Random Forest Shows No Useful Cervical Cancer Prediction
An exploratory 100-patient study found that a leakage-free Random Forest poorly classified post-treatment NGAL decline and did not establish a ...
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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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