Following Feature | List of Frontiers open access articles

Original Research

Published on 13 Jul 2022

Soft Attention Based DenseNet Model for Parkinson’s Disease Classification Using SPECT Images

in Alzheimer's Disease and Related Dementias

Mahima Thakur
Harisudha Kuresan
Samiappan Dhanalakshmi
Khin Wee Lai
Xiang Wu

Frontiers in Aging Neuroscience

doi 10.3389/fnagi.2022.908143

6,005 views
57 citations

Original Research

Published on 19 Dec 2023

Gut microbiota landscape and potential biomarker identification in female patients with systemic lupus erythematosus using machine learning

in Intestinal Microbiome

Wenzhu Song
Feng Wu
Yan Yan
Yaheng Li
Qian Wang
Xueli Hu
Yafeng Li

Frontiers in Cellular and Infection Microbiology

doi 10.3389/fcimb.2023.1289124

5,606 views
11 citations

Original Research

Published on 07 May 2025

Interpretable machine learning for early predicting the risk of ventilator-associated pneumonia in ischemic stroke patients in the intensive care unit

in Artificial Intelligence in Neurology

Heshan Cao
Junying Wei
Ping Hua
Songran Yang

Frontiers in Neurology

doi 10.3389/fneur.2025.1513732

3,949 views
2 citations

Original Research

Published on 15 Oct 2025

Stage prediction of acute kidney injury in sepsis patients using explainable machine learning approaches

in Intensive Care Medicine and Anesthesiology

Zhen Quan
Zheng Han
Siyao Zeng
Lianghe Wen
Jingkai Wang
Yue Li
Hongliang Wang

Frontiers in Medicine

doi 10.3389/fmed.2025.1667488

2,475 views

Original Research

Published on 21 May 2024

The value of the malignant subregion-based texture analysis in predicting the Ki-67 status in breast cancer

in Breast Cancer

Chao Hua
Chen Wenwen
Rui Huijuan
Pan Ting
Zhang Jin

Frontiers in Oncology

doi 10.3389/fonc.2024.1359925

1,452 views

Original Research

Published on 29 Jan 2024

Untargeted metabolomics yields insight into extramammary Paget’s disease mechanisms

in Cancer Metabolism

Long Jiang
Xiaoxiang Xu
Guorong Yan
Yuhao Wu
Ningyuan Xi
Yongxian Lai
Guolong Zhang
Yeqiang Liu

Frontiers in Oncology

doi 10.3389/fonc.2024.1319819

3,003 views

Original Research

Published on 03 Feb 2026

Construction of a prediction model for axillary lymph node metastasis in stage cN0 hormone receptor-positive breast cancer: based on interpretable machine learning methods

in Breast Cancer

Wenyan Liu
Zhijun Ma
Yufei Wang
Qishuai Chen
Liu Wang
Jiuqing Chi

Frontiers in Oncology

doi 10.3389/fonc.2026.1763228

382 views

Original Research

Published on 07 Aug 2024

Predicting and comparing the long-term impact of lifestyle interventions on individuals with eating disorders in active population: a machine learning evaluation

in Nutrition, Psychology and Brain Health

Khadijeh Irandoust
Kamdin Parsakia
Ali Estifa
Gholamreza Zoormand
Beat Knechtle
Thomas Rosemann
Katja Weiss
Morteza Taheri

Frontiers in Nutrition

doi 10.3389/fnut.2024.1390751

4,153 views
3 citations

Original Research

Published on 05 Jan 2023

Prediction of fracture density in a gas reservoir using robust computational approaches

in Solid Earth Geophysics

Guozhong Gao
Omid Hazbeh
Shadfar Davoodi
Somayeh Tabasi
Meysam Rajabi
Hamzeh Ghorbani
Ahmed E. Radwan
Mako Csaba
Amir H. Mosavi

Frontiers in Earth Science

doi 10.3389/feart.2022.1023578

5,857 views
15 citations

Original Research

Published on 27 Nov 2025

Blood indicators for short-term mortality risk in older patients with hip fracture: association and predictive value

in Geriatric Medicine

Qing Zhou
Desheng Zhang
Yuxuan Wu
Xi Chen
Zhicong Wang

Frontiers in Medicine

doi 10.3389/fmed.2025.1684738

816 views

Articles

Soft Attention Based DenseNet Model for Parkinson’s Disease Classification Using SPECT Images

Gut microbiota landscape and potential biomarker identification in female patients with systemic lupus erythematosus using machine learning

Interpretable machine learning for early predicting the risk of ventilator-associated pneumonia in ischemic stroke patients in the intensive care unit

Stage prediction of acute kidney injury in sepsis patients using explainable machine learning approaches

The value of the malignant subregion-based texture analysis in predicting the Ki-67 status in breast cancer

Untargeted metabolomics yields insight into extramammary Paget’s disease mechanisms

Construction of a prediction model for axillary lymph node metastasis in stage cN0 hormone receptor-positive breast cancer: based on interpretable machine learning methods

Predicting and comparing the long-term impact of lifestyle interventions on individuals with eating disorders in active population: a machine learning evaluation

Prediction of fracture density in a gas reservoir using robust computational approaches

Blood indicators for short-term mortality risk in older patients with hip fracture: association and predictive value