predicting

HAPIR: a refined Hallmark gene set-based machine learning approach for predicting immunotherapy response in cancer patients

admin June 20, 2025

Overview of HAPIRHAPIR is a machine learning model used for predicting response to ICIs. The HAPIR workflow mainly consists of...

Predicting abnormal fetal growth using deep learning

admin June 2, 2025

Study designIn this retrospective, multi-center cohort study, we used a deep learning model for estimating fetal weight based on ultrasound...

Predicting cognitive frailty in community-dwelling older adults: a machine learning approach based on multidomain risk factors

admin May 28, 2025

We found significant associations between CF and older age, female sex, lower education level, certain clinical characteristics (i.e., peripheral vascular...

Comparison of methods for tuning machine learning model hyper-parameters: with application to predicting high-need high-cost health care users | BMC Medical Research Methodology

admin May 18, 2025

Extreme gradient boosting modelOur study focused on tuning the hyper-parameters of an extreme gradient boosting model for predicting a binary...

An enhanced moth flame optimization extreme learning machines hybrid model for predicting CO2 emissions

admin April 8, 2025

This section presents a comprehensive evaluation of the modified GMSMFO algorithm using the CEC2020 benchmark functions to assess its efficiency....

A stacking ensemble machine learning model for predicting postoperative axial pain intensity in patients with degenerative cervical myelopathy

admin March 26, 2025

This study identified three key findings: (1) Classifier performance was significantly improved by applying an ensemble learning approach that integrated...

predicting

HAPIR: a refined Hallmark gene set-based machine learning approach for predicting immunotherapy response in cancer patients

Predicting abnormal fetal growth using deep learning

Predicting cognitive frailty in community-dwelling older adults: a machine learning approach based on multidomain risk factors

Comparison of methods for tuning machine learning model hyper-parameters: with application to predicting high-need high-cost health care users | BMC Medical Research Methodology

An enhanced moth flame optimization extreme learning machines hybrid model for predicting CO2 emissions

A stacking ensemble machine learning model for predicting postoperative axial pain intensity in patients with degenerative cervical myelopathy

‘Playful’ teaching gaining credibility, say Lego researchers

AI-guided competitive docking for virtual screening and compound efficacy prediction

Stratasys launches multi-material 3D printed model preset for dental training

Dhammajarinee Witthaya School pioneers learning transformation through AI and Buddhist principles to build “Bridge of Opportunity” for Thai youth

K12 Education Technology Analysis Report 2026: $96.5 Bn

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