Machine learning predicts HIV patients at risk of dropping out of antiretroviral care
Random Forest and XGBoost models predicted loss to follow-up among ART patients in Zimbabwe with high internal accuracy, while LIME ...
Tag: LIME
Hybrid AI Model Hits 99.5% Accuracy in Classifying Sports Event Security Risks
A hybrid TabNet and FT-Transformer model classified sports event security risk levels with 99.53% accuracy on a 40,000-record Kaggle dataset, ...
Satellite Data and Explainable AI Predict Regional Heart Disease Risk
A new hybrid explainable machine learning framework combines satellite environmental data with health records to predict cardiovascular disease risk at ...
Lime juice and sunlight left a Japanese boy with hand pigmentation: a rare pediatric phytophotodermatitis case
A Japanese case report describes a 7-year-old boy who developed vesicles and pigmentation on his hands after squeezing limes and ...
AI Reads Faces and Voices to Spot Depression with Directional Causal Fusion
Researchers report a Mamba-BiLSTM framework with Granger-inspired directional causal fusion that reached 81.86 percent accuracy for multimodal depression detection on ...
Machine Learning Model Predicts Nitrogen in Treated Wastewater with SHAP and LIME Explanations
A hybrid machine learning model combining support vector regression with metaheuristic optimization predicted effluent total nitrogen at a full-scale Chinese ...
Explainable AI models track EV battery health over 6G networks
A new study combines LSTM-based deep learning with LIME and SHAP explainability to estimate EV battery state of health across ...
Explainable AI framework blends calibrated models to predict heart disease risk
Researchers report a feature-weighted, calibrated explainable AI framework that reached 91.07% accuracy on a cleaned heart disease dataset while exposing ...
Field experiment links lime and GA3 applications with improved stevia growth in northern Bangladesh
A replicated field experiment in northern Bangladesh found significant lime-by-GA3 interactions for selected stevia growth and leaf nutrient measures in ...
Neuro-Symbolic AI Makes Traffic Forecasts Explainable with Concept Lattices
Malaysian researchers have built a hybrid CNN-LSTM traffic forecasting system that pairs deep learning accuracy with Formal Concept Analysis to ...
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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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