Biopsy-Free Models Accurately Screen Myeloid Malignancies in Thai Cytopenic Patients
A study of Thai cytopenic patients found that noninvasive scoring models can accurately identify individuals at low risk of myeloid ...
Tag: predictive modeling
Machine Learning Model Predicts High-Flow Nasal Cannula Failure in COVID-19 Patients
A prospective cohort study evaluated machine learning models combining clinical and metabolomic features to predict high-flow nasal cannula failure in ...
Machine Learning for Hip Replacement Outcomes Shows Performance Drop in Welsh Data
A preliminary study found that machine learning models predicting hip replacement outcomes trained on English data experienced performance drops when ...
Stable MRI Radiomics Predicts Chemotherapy Response in Breast Cancer
A retrospective multicenter study of 686 patients with HR+/HER2− breast cancer established a stability-driven MRI radiomics model that accurately predicted ...
Admission Predictors Model Coronary Artery Risk in Children With Kawasaki Disease
A multicenter retrospective study validated an admission-based prediction model estimating the risk of two- to eight-week coronary artery Z score ...
Time-Attention Model Enhances Solar Thermal Storage Efficiency and Cost Predictions
Researchers developed a dual-task prediction model that accurately forecasts solar thermal storage efficiency and operating costs across multi-scale operational intervals.
Machine Learning Identifies High-Risk Paratransit Drivers in Bangladesh
A new machine learning framework identifies high-risk paratransit drivers in Gazipur, Bangladesh, with logistic regression outperforming complex ensembles in predicting ...
Research report: Leveraging data mining technologies for enhanced cloud-based marketing effectiveness
The study, conducted by Salah ElDin Olaymi, investigated the application of data mining tools within cloud environments, focusing on customer ...
CT radiomics model predicts poor chemotherapy response in esophageal cancer before treatment
A dual-center study found that a CT-based radiomics model using four texture features predicted poor pathological response to neoadjuvant chemotherapy ...
Predictive Machine Learning Evaluates Personalized Training Pathways in Martial Arts Tricking
A proof-of-concept study demonstrates that an interpretable logistic regression model using synthetic data achieved over 81 percent accuracy in predicting ...
Four-Biomarker Score Refines Mortality Risk Prediction Across CKM Stages
A four-biomarker score integrating non-HDL cholesterol, HbA1c, eGFR, and albuminuria refines mortality risk prediction across cardiovascular-kidney-metabolic syndrome stages in a ...
Brainwave Resetting Patterns Predict Depressive Symptom Severity Across Untreated Adults
Researchers have identified large-scale brainwave phase-resetting dynamics in resting-state electroencephalography that accurately predict depressive symptom severity across untreated adults.
Baseline Cognition Shapes Machine Learning Predictions After Carbon Monoxide Poisoning Rehabilitation
A retrospective cohort study found that baseline cognitive assessment scores accounted for nearly all predictive information regarding cognitive score changes ...
Canadian Researchers Design Population Tool to Predict Adverse Pregnancy Outcome Risks
Canadian researchers have published the study protocol for PregPoRT, a population-based predictive model linking national survey, administrative hospitalization, and environmental ...
Kythera Labs Data Asset Passes Nine-Block Validation
A new study validates the Kythera Labs all-payer real-world data asset using a nine-block framework, confirming its reliability for regulatory ...
Fat Around the Kidneys on Pre-Transplant CT Scans Predicts Diabetes After Transplantation
Thicker right anterior perirenal fat on routine pre-transplant CT scans was independently associated with post-transplant diabetes mellitus in a retrospective ...
Wavelet-based forecasting survey finds design choices drive accuracy
An updated survey of wavelet-based soft computing forecasting methods shows that decomposition protocol and boundary handling choices can substantially affect ...
Digital Twin Crowd Management System Pairs Predictive AI With Selective Data Anonymization
Researchers have developed a 3D digital twin crowd management system that pairs machine learning transit forecasts with selective three-stage data ...
Machine Learning Model Predicts Respiratory Distress Risk in Acute Pancreatitis Patients
A random forest machine learning model achieved strong predictive performance for acute respiratory distress syndrome among critically ill patients with ...
Machine Learning Model Predicts Rockburst Intensity in Deep Underground Engineering
An interpretable machine learning framework combining Schrödinger optimization and SHAP analysis improved four-class rockburst intensity prediction and passed preliminary validation ...
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