Permutation Importance | List of Frontiers open access articles

Original Research

Published on 31 Jul 2024

Soil temperature prediction based on explainable artificial intelligence and LSTM

in Environmental Informatics and Remote Sensing

Qingtian Geng
Leilei Wang
Qingliang Li

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1426942

3,491 views
12 citations

Original Research

Published on 10 Oct 2025

Attention-based Transformer-LSTM architecture for early diagnosis and staging of early-stage Parkinson’s disease using fNIRS data

in Parkinson’s Disease and Aging-related Movement Disorders

Huan Wang
Hujun Wang
Shuyan Qie
Congxiao Wang
Nan Li
Hanming Wang

Frontiers in Aging Neuroscience

doi 10.3389/fnagi.2025.1677722

2,400 views
1 citation

Original Research

Published on 09 Sep 2025

Lameness detection in dairy cows from overhead view: high-precision keypoint localization and multi-feature fusion classification

in Animal Behavior and Welfare

Weijun Duan
Fang Wang
Honghui Li
Na Liu
Xueliang Fu

Frontiers in Veterinary Science

doi 10.3389/fvets.2025.1675181

2,870 views
2 citations

Original Research

Published on 14 Aug 2024

Predicting non-chemotherapy drug-induced agranulocytosis toxicity through ensemble machine learning approaches

in Predictive Toxicology

Xiaojie Huang
Xiaochun Xie
Shaokai Huang
Shanshan Wu
Lina Huang

Frontiers in Pharmacology

doi 10.3389/fphar.2024.1431941

2,796 views
4 citations

Original Research

Published on 22 Nov 2021

Prediction of Potentially Suitable Distributions of Codonopsis pilosula in China Based on an Optimized MaxEnt Model

in Biogeography and Macroecology

Huyong Yan
Jiao He
Xiaochuan Xu
Xinyu Yao
Guoyin Wang
Lianggui Tang
Lei Feng
Limin Zou
Xiaolong Gu
Yingfei Qu

Frontiers in Ecology and Evolution

doi 10.3389/fevo.2021.773396

8,853 views
43 citations

Original Research

Published on 19 Feb 2025

Web-based machine learning application for interpretable prediction of prolonged length of stay after lumbar spinal stenosis surgery: a retrospective cohort study with explainable AI

in Computational Physiology and Medicine

Paierhati Yasheng
Alimujiang Yusufu
Yasenjiang Yimiti
Haopeng Luan
Cong Peng
Xinghua Song

Frontiers in Physiology

doi 10.3389/fphys.2025.1542240

2,759 views
4 citations

Original Research

Published on 07 Dec 2023

Predicting 90-day prognosis for patients with stroke: a machine learning approach

in Stroke

Ahmad A. Abujaber
Ibraheem M. Alkhawaldeh
Yahia Imam
Abdulqadir J. Nashwan
Naveed Akhtar
Ahmed Own
Ahmad S. Tarawneh
Ahmad B. Hassanat

Frontiers in Neurology

doi 10.3389/fneur.2023.1270767

5,702 views
27 citations

Original Research

Published on 17 Apr 2024

Prediction of the potential geographical distribution of Cytospora chrysosperma in Xinjiang, China under climate change scenarios

in Forest Growth

Quansheng Li
Shanshan Cao
Wei Sun
Zhiyong Zhang

Frontiers in Forests and Global Change

doi 10.3389/ffgc.2024.1370365

2,694 views
1 citation

Original Research

Published on 08 Mar 2024

Construction and validation of a machine learning model for the diagnosis of juvenile idiopathic arthritis based on fecal microbiota

in Intestinal Microbiome

Jun-Bo Tu
Wei-Jie Liao
Si-Ping Long
Meng-Pan Li
Xing-Hua Gao

Frontiers in Cellular and Infection Microbiology

doi 10.3389/fcimb.2024.1371371

4,783 views
8 citations

Original Research

Published on 11 Nov 2022

Interpretable machine learning to identify important predictors of birth weight: A prospective cohort study

in Neonatology

Zheng Liu
Na Han
Tao Su
Yuelong Ji
Heling Bao
Shuang Zhou
Shusheng Luo
Hui Wang
Jue Liu
Hai-Jun Wang

Frontiers in Pediatrics

doi 10.3389/fped.2022.899954

9,563 views
7 citations

Original Research

Published on 08 Jul 2024

Coarse to superfine: can hyperspectral soil organic carbon models predict higher-resolution information?

in Soil Processes

Shayan Kabiri
Sharon M. O’Rourke

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1392469

1,913 views
1 citation

Original Research

Published on 03 Sep 2024

A machine learning approach towards assessing consistency and reproducibility: an application to graft survival across three kidney transplantation eras

in Health Informatics

Okechinyere Achilonu
George Obaido
Blessing Ogbuokiri
Kehinde Aruleba
Eustasius Musenge
June Fabian

Frontiers in Digital Health

doi 10.3389/fdgth.2024.1427845

2,518 views
3 citations

Original Research

Published on 21 Oct 2025

Assessing the impact of climate change on habitat dynamics of Hovenia dulcis in China using the MaxEnt model

in Functional Plant Ecology

Xi Li
Peiyao Li
Shimeng Li
Mingli Hu
Yankun Li
Yuanxin Li
Shi Wang
Ting Shu
Mingrong Yang
Qiqing Cheng

Frontiers in Plant Science

doi 10.3389/fpls.2025.1641811

1,777 views

Original Research

Published on 07 Mar 2022

Development and Validation of a Risk Prediction Model for Venous Thromboembolism in Lung Cancer Patients Using Machine Learning

in Thrombosis and Haemostasis

Haike Lei
Mengyang Zhang
Zeyi Wu
Chun Liu
Xiaosheng Li
Wei Zhou
Bo Long
Jiayang Ma
Huiyi Zhang
Ying Wang

Frontiers in Cardiovascular Medicine

doi 10.3389/fcvm.2022.845210

7,445 views
29 citations

Original Research

Published on 21 Nov 2025

Composition-centered prediction of kenaf core saccharification for next-generation bioethanol via machine learning

in Biofuels

Yitong Niu
Ying Ying Tye
Chee Keong Lee
Mardiana Idayu Ahmad
Cheu Peng Leh

Frontiers in Fuels

doi 10.3389/ffuel.2025.1722932

1,292 views

Original Research

Published on 18 Dec 2025

Early mortality prediction after severe trauma using ensemble machine learning: a single-center retrospective study

in Disaster and Emergency Medicine

Lijing Ling
Jin Ma
Xiaohua Xia
Hua Yuan
Shifang Liu
Yuelan Zhu

Frontiers in Public Health

doi 10.3389/fpubh.2025.1716910

1,012 views

Articles

Soil temperature prediction based on explainable artificial intelligence and LSTM

Attention-based Transformer-LSTM architecture for early diagnosis and staging of early-stage Parkinson’s disease using fNIRS data

Lameness detection in dairy cows from overhead view: high-precision keypoint localization and multi-feature fusion classification

Predicting non-chemotherapy drug-induced agranulocytosis toxicity through ensemble machine learning approaches

Prediction of Potentially Suitable Distributions of Codonopsis pilosula in China Based on an Optimized MaxEnt Model

Web-based machine learning application for interpretable prediction of prolonged length of stay after lumbar spinal stenosis surgery: a retrospective cohort study with explainable AI

Predicting 90-day prognosis for patients with stroke: a machine learning approach

Prediction of the potential geographical distribution of Cytospora chrysosperma in Xinjiang, China under climate change scenarios

Construction and validation of a machine learning model for the diagnosis of juvenile idiopathic arthritis based on fecal microbiota

Interpretable machine learning to identify important predictors of birth weight: A prospective cohort study

Coarse to superfine: can hyperspectral soil organic carbon models predict higher-resolution information?

A machine learning approach towards assessing consistency and reproducibility: an application to graft survival across three kidney transplantation eras

Assessing the impact of climate change on habitat dynamics of Hovenia dulcis in China using the MaxEnt model

Development and Validation of a Risk Prediction Model for Venous Thromboembolism in Lung Cancer Patients Using Machine Learning

Composition-centered prediction of kenaf core saccharification for next-generation bioethanol via machine learning

Early mortality prediction after severe trauma using ensemble machine learning: a single-center retrospective study