Gradient Boosting Machine Gbm | List of Frontiers open access articles

Original Research

Published on 01 Nov 2023

Dynamic geospatial modeling of mycotoxin contamination of corn in Illinois: unveiling critical factors and predictive insights with machine learning

in Food Microbiology

Lina Castano-Duque
Edwin Winzeler
Joshua M. Blackstock
Cheng Liu
Noemi Vergopolan
Marlous Focker
Kristin Barnett
Phillip Ray Owens
H. J. van der Fels-Klerx
Martha M. Vaughan

Frontiers in Microbiology

doi 10.3389/fmicb.2023.1283127

6,931 views
21 citations

Original Research

Published on 11 Dec 2025

Identification of shared lactylation-related gene signatures between osteoporosis and chronic kidney disease

in Stem Cell Research

Dong Liu
Ying Xia
Hui Wang
Kaiqiang Sun
Shunmin Wang
Yaping Yu
Xiaojie Dai

Frontiers in Cell and Developmental Biology

doi 10.3389/fcell.2025.1719273

1,531 views

Original Research

Published on 30 Jun 2022

Identification and Optimization of Contributing Factors for Precocious Puberty by Machine/Deep Learning Methods in Chinese Girls

in Pediatric Endocrinology

Bo Pang
Qiong Wang
Min Yang
Mei Xue
Yicheng Zhang
Xiangling Deng
Zhixin Zhang
Wenquan Niu

Frontiers in Endocrinology

doi 10.3389/fendo.2022.892005

5,409 views
10 citations

Original Research

Published on 24 Nov 2025

Pathomics-based machine learning model predicts interferon-gamma expression in head and neck squamous cell carcinoma patients

in Cancer Immunity and Immunotherapy

Jintao Yu
Wei Teng
Gang Yu
Zheng Wang
Bin Bai
Yan Wang
Fei Wang

Frontiers in Immunology

doi 10.3389/fimmu.2025.1652003

1,260 views

Original Research

Published on 03 Nov 2022

A gradient boosting machine-based framework for electricity energy knowledge discovery

in Environmental Economics and Management

Bingbing Xie
Chenliang Zhu
Liang Zhao
Jun Zhang

Frontiers in Environmental Science

doi 10.3389/fenvs.2022.1031095

3,108 views
6 citations

Original Research

Published on 19 Aug 2025

Application and validation of the machine learning-based multimodal radiomics model for preoperative prediction of lateral lymph node metastasis in papillary thyroid carcinoma

in Thyroid Endocrinology

Jia-Wei Feng
Yu-Xin Yang
Rong-Jie Qin
Shui-Qing Liu
An-Cheng Qin
Yong Jiang

Frontiers in Endocrinology

doi 10.3389/fendo.2025.1618902

3,611 views
1 citation

Original Research

Published on 06 Jun 2025

A machine learning model for robust prediction of sepsis-induced coagulopathy in critically ill patients with sepsis

in Clinical Infectious Diseases

Jia Sun
Lixin Zhang
Zhaotang Gong
Hongling Ma
Dan Wu
Rihan Wu
Guleng Siri

Frontiers in Cellular and Infection Microbiology

doi 10.3389/fcimb.2025.1579558

5,571 views
2 citations

Original Research

Published on 23 Jan 2026

Explainable machine learning model to predict refeeding syndrome in patients with severe acute pancreatitis

in Clinical Nutrition

Cui Wu
Shuangshuang Jing
Dinghui Guo
Congcong Cheng
Sujuan Fei

Frontiers in Nutrition

doi 10.3389/fnut.2025.1741052

1,372 views

Original Research

Published on 13 Sep 2022

Confounder-adjusted MRI-based predictors of multiple sclerosis disability

in Neuroradiology

Yujin Kim
Mihael Varosanec
Peter Kosa
Bibiana Bielekova

Frontiers in Radiology

doi 10.3389/fradi.2022.971157

3,586 views
2 citations

Original Research

Published on 05 Dec 2025

Evaluating and comparing the predictive ability with hypertension risk among obesity indicators: a prospective cohort integrating Mendelian randomization analysis

in Nutrition and Metabolism

Fengling Wang
Yixiao Wang
Han Pang
Hui Zhang
Shouzheng Wei
Zhuang Zhuo
Zihan Liu
Mu Wang
Chongjian Wang

Frontiers in Nutrition

doi 10.3389/fnut.2025.1660842

1,194 views

Original Research

Published on 22 Sep 2025

Interpretable machine learning model to predict 90-day radiographically confirmed pneumonia after chemotherapy initiation in non-Hodgkin lymphoma: development and internal validation of a single-center cohort

in Hematology

Zhanna Zhang
Manqi Su
Panruo Jiang
Xiaoxia Wang
Lingling Kong
Xiangmin Tong
Gongqiang Wu

Frontiers in Medicine

doi 10.3389/fmed.2025.1674896

1,909 views

Original Research

Published on 06 May 2025

The relationship between dietary vitamin B1 and stroke: a machine learning analysis of NHANES data

in Clinical Nutrition

Shihan Guo
Xu Jiao
Mingfei Li
Zhuo Li
Yun Lu

Frontiers in Nutrition

doi 10.3389/fnut.2025.1584654

7,151 views
1 citation

Original Research

Published on 28 Jan 2026

A machine learning-driven prognostic model based on peripheral blood lymphocyte subsets in osteosarcoma

in Cancer Immunity and Immunotherapy

Longqing Li
Jinlei Liu
Songtao Pang
Yuan Zhao
Yimeng Wang
Jia Wen
Yongkui Liu
Yi Zhang
Yan Zhang
Jiazhen Li

Frontiers in Immunology

doi 10.3389/fimmu.2026.1733518

687 views

Original Research

Published on 30 May 2024

A new prediction model for acute kidney injury following liver transplantation using grafts from donors after cardiac death

in Hepatobiliary Diseases

Hai-Xia Liu
Xin Wang
Man-Man Xu
Yi Wang
Man Lai
Guang-Ming Li
Qing-Hua Meng

Frontiers in Medicine

doi 10.3389/fmed.2024.1389695

2,447 views
1 citation

Original Research

Published on 08 Jan 2024

Establishment of a pathomic-based machine learning model to predict CD276 (B7-H3) expression in colon cancer

in Gastrointestinal Cancers: Colorectal Cancer

Jia Li
Dongxu Wang
Chenxin Zhang

Frontiers in Oncology

doi 10.3389/fonc.2023.1232192

3,869 views
4 citations

Original Research

Published on 31 Jul 2025

Composite dietary antioxidant index and HPV infection from single and mixed associations to SHAP-interpreted machine learning predictions

in Nutritional Epidemiology

Pei Zhang

Frontiers in Nutrition

doi 10.3389/fnut.2025.1619742

3,571 views

Articles

Dynamic geospatial modeling of mycotoxin contamination of corn in Illinois: unveiling critical factors and predictive insights with machine learning

Identification of shared lactylation-related gene signatures between osteoporosis and chronic kidney disease

Identification and Optimization of Contributing Factors for Precocious Puberty by Machine/Deep Learning Methods in Chinese Girls

Pathomics-based machine learning model predicts interferon-gamma expression in head and neck squamous cell carcinoma patients

A gradient boosting machine-based framework for electricity energy knowledge discovery

Application and validation of the machine learning-based multimodal radiomics model for preoperative prediction of lateral lymph node metastasis in papillary thyroid carcinoma

A machine learning model for robust prediction of sepsis-induced coagulopathy in critically ill patients with sepsis

Explainable machine learning model to predict refeeding syndrome in patients with severe acute pancreatitis

Confounder-adjusted MRI-based predictors of multiple sclerosis disability

Evaluating and comparing the predictive ability with hypertension risk among obesity indicators: a prospective cohort integrating Mendelian randomization analysis

Interpretable machine learning model to predict 90-day radiographically confirmed pneumonia after chemotherapy initiation in non-Hodgkin lymphoma: development and internal validation of a single-center cohort

The relationship between dietary vitamin B1 and stroke: a machine learning analysis of NHANES data

A machine learning-driven prognostic model based on peripheral blood lymphocyte subsets in osteosarcoma

A new prediction model for acute kidney injury following liver transplantation using grafts from donors after cardiac death

Establishment of a pathomic-based machine learning model to predict CD276 (B7-H3) expression in colon cancer

Composite dietary antioxidant index and HPV infection from single and mixed associations to SHAP-interpreted machine learning predictions