Filters

Masahito Katsuki, Kieran Moran, Siobhán O'Connor, Tomás Ward, Yutaro Fuse, Omid Kohandel Gargari, Marina Romozzi, Alicia Gonzalez-Martinez, Miguel Á Huerta, Woo-Seok Ha, Jackson Ts Cheung, Yasuhiko Matsumori

Cephalalgia : an international journal of headache 2026;46(4):3331024261441574

Full Text

Abstract

Ligand-based virtual screening and inductive learning for identification of SIRT1 inhibitors in natural products.

Yunan Sun, Hui Zhou, Hongmei Zhu, Siu-wai Leung

Scientific reports 2016;6():19312

Free Full Text

Abstract

The efficacy of canagliflozin in diabetes subgroups stratified by data-driven clustering or a supervised machine learning method: a post hoc analysis of canagliflozin clinical trial data.

Xiantong Zou, Qi Huang, Yingying Luo, Qian Ren, Xueyao Han, Xianghai Zhou, Linong Ji

Diabetologia 2022;65(9):1424-1435

Full Text

Abstract

Relationship between lifestyle factors and cardiovascular disease prevalence in Somaliland: A supervised machine learning approach using data from Hargeisa Group Hospital, 2024.

Yahye Hassan Muse, Mukhtar Abdi Hassan, Hodo Abdikarim, Nuh Botan, Kaltun Hassan, Idiris Dahir, Ayanle Suleiman, Abdisalam Hassan Muse

Current problems in cardiology 2025;50(3):102994

Full Text

Abstract

Results: 1 – 15 / 16

Filters

Expert Opinion

Text Availability

Publication Types

Publication Year

Results for ""Supervised Machine Learning""[mesh_terms]

Active Machine learning for formulation of precision probiotics.

Contrastive self-supervised learning for diabetic retinopathy early detection.

A supervised learning regression method for the analysis of oral sensitivity of healthy individuals and patients with chemosensory loss.

Prediction of individual weight loss using supervised learning: findings from the CALERIE 2 study.

Self-supervised machine learning methods for protein design improve sampling but not the identification of high-fitness variants.

Structure-conditioned self-supervised learning of residue interaction constraints in protein kinases for variant interpretation.

A comparative study of supervised and unsupervised machine learning algorithms applied to human microbiome.

Transformer-based self-supervised learning of pixel- and frequency-domain features for DMI grading on OCTA images.

ProtDec-LTR2.0: an improved method for protein remote homology detection by combining pseudo protein and supervised Learning to Rank.

Diabetic macular edema grading in retinal images using vector quantization and semi-supervised learning.

UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification.

Comparative diagnostic agreement of a supervised machine learning model and a general-purpose, zero-shot, non-domain-adapted large language model for classifying headache disorders using structured questionnaires.

Ligand-based virtual screening and inductive learning for identification of SIRT1 inhibitors in natural products.

The efficacy of canagliflozin in diabetes subgroups stratified by data-driven clustering or a supervised machine learning method: a post hoc analysis of canagliflozin clinical trial data.

Relationship between lifestyle factors and cardiovascular disease prevalence in Somaliland: A supervised machine learning approach using data from Hargeisa Group Hospital, 2024.

Results for
""Supervised Machine Learning""[mesh_terms]