Extreme Gradient Boost | List of Frontiers open access articles

Original Research

Published on 17 Sep 2021

Machine Learning Models for Predicting In-Hospital Mortality in Acute Aortic Dissection Patients

in General Cardiovascular Medicine

Tuo Guo
Zhuo Fang
Guifang Yang
Yang Zhou
Ning Ding
Wen Peng
Xun Gong
Huaping He
Xiaogao Pan
Xiangping Chai

Frontiers in Cardiovascular Medicine

doi 10.3389/fcvm.2021.727773

7,279 views
35 citations

Original Research

Published on 19 Jul 2023

Supervised machine learning models for depression sentiment analysis

in Medicine and Public Health

Ibidun Christiana Obagbuwa
Samantha Danster
Onil Colin Chibaya

Frontiers in Artificial Intelligence

doi 10.3389/frai.2023.1230649

9,111 views
31 citations

Original Research

Published on 17 Jun 2024

Prediction of photovoltaic power generation based on a hybrid model

in Sustainable Energy Systems

Xiaohua Zhang
Yuping Wu
Yu Wang
Zhirui Lv
Bin Huang
Jingzhong Yuan
Jingyu Yang
Xinsheng Ma
Changyuan Li
Lianchao Zhang

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1411461

2,463 views
8 citations

Original Research

Published on 22 Jul 2022

Modeling Energy Consumption Using Machine Learning

in Sustainable Life Cycle Engineering and Manufacturing

Sai Aravind Sarswatula
Tanna Pugh
Vittaldas Prabhu

Frontiers in Manufacturing Technology

doi 10.3389/fmtec.2022.855208

17,936 views
25 citations

Original Research

Published on 03 Mar 2022

Using Machine Learning Models to Predict Hydroponically Grown Lettuce Yield

in Technical Advances in Plant Science

Ali Mokhtar
Wessam El-Ssawy
Hongming He
Nadhir Al-Anasari
Saad Sh. Sammen
Yeboah Gyasi-Agyei
Mohamed Abuarab

Frontiers in Plant Science

doi 10.3389/fpls.2022.706042

22,790 views
64 citations

Original Research

Published on 16 Feb 2021

Identification of Predictor Genes for Feed Efficiency in Beef Cattle by Applying Machine Learning Methods to Multi-Tissue Transcriptome Data

in Livestock Genomics

Weihao Chen
Pâmela A. Alexandre
Gabriela Ribeiro
Heidge Fukumasu
Wei Sun
Antonio Reverter
Yutao Li

Frontiers in Genetics

doi 10.3389/fgene.2021.619857

6,402 views
31 citations

Original Research

Published on 06 Sep 2021

Artificial Intelligence May Predict Early Sepsis After Liver Transplantation

in Computational Physiology and Medicine

Rishikesan Kamaleswaran
Sanjaya K. Sataphaty
Valeria R. Mas
James D. Eason
Daniel G. Maluf

Frontiers in Physiology

doi 10.3389/fphys.2021.692667

6,152 views
15 citations

Original Research

Published on 24 Jan 2025

Predicting the risk of heart failure after acute myocardial infarction using an interpretable machine learning model

in Coronary Artery Disease

Qingqing Lin
Wenxiang Zhao
Hailin Zhang
Wenhao Chen
Sheng Lian
Qinyun Ruan
Zhaoyang Qu
Yimin Lin
Dajun Chai
Xiaoyan Lin

Frontiers in Cardiovascular Medicine

doi 10.3389/fcvm.2025.1444323

5,511 views
8 citations

Original Research

Published on 08 Jul 2024

Development and validation of an interpretable machine learning for mortality prediction in patients with sepsis

in Medicine and Public Health

Bihua He
Zheng Qiu

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1348907

4,845 views
9 citations

Review

Published on 06 Feb 2024

Interpretable machine learning model to predict surgical difficulty in laparoscopic resection for rectal cancer

in Gastrointestinal Cancers: Colorectal Cancer

Miao Yu
Zihan Yuan
Ruijie Li
Bo Shi
Daiwei Wan
Xiaoqiang Dong

Frontiers in Oncology

doi 10.3389/fonc.2024.1337219

6,140 views
17 citations

Original Research

Published on 18 Jun 2025

Interpretable machine learning model for identification and risk factor of premature rupture of membranes (PROM) and its association with nutritional inflammatory index: a retrospective study

in Obstetrics and Gynecology

Meng Zheng
Xiaowei Zhang
Haihong Wang
Ping Yuan
Qiulan Yu

Frontiers in Medicine

doi 10.3389/fmed.2025.1557919

2,186 views
2 citations

Original Research

Published on 05 Aug 2022

Prediction of conversion to dementia using interpretable machine learning in patients with amnestic mild cognitive impairment

in Alzheimer's Disease and Related Dementias

Min Young Chun
Chae Jung Park
Jonghyuk Kim
Jee Hyang Jeong
Hyemin Jang
Kyunga Kim
Sang Won Seo

Frontiers in Aging Neuroscience

doi 10.3389/fnagi.2022.898940

6,358 views
42 citations

Original Research

Accepted on 09 Feb 2026

Developing and Validating Machine Learning Models to Predict Vaccine Hesitancy and Literacy among Adults in the United States

in Digital Public Health

Yi Zheng
Paula M Frew
Dong Wang
Yan Song
Oscar Patterson-Lomba
Arshya Feizi
Tayler Li
Amanda L. Eiden

Frontiers in Public Health

108 views

Articles

Machine Learning Models for Predicting In-Hospital Mortality in Acute Aortic Dissection Patients

Supervised machine learning models for depression sentiment analysis

Prediction of photovoltaic power generation based on a hybrid model

Modeling Energy Consumption Using Machine Learning

Using Machine Learning Models to Predict Hydroponically Grown Lettuce Yield

Identification of Predictor Genes for Feed Efficiency in Beef Cattle by Applying Machine Learning Methods to Multi-Tissue Transcriptome Data

Artificial Intelligence May Predict Early Sepsis After Liver Transplantation

Predicting the risk of heart failure after acute myocardial infarction using an interpretable machine learning model

Development and validation of an interpretable machine learning for mortality prediction in patients with sepsis

Interpretable machine learning model to predict surgical difficulty in laparoscopic resection for rectal cancer

Interpretable machine learning model for identification and risk factor of premature rupture of membranes (PROM) and its association with nutritional inflammatory index: a retrospective study

Prediction of conversion to dementia using interpretable machine learning in patients with amnestic mild cognitive impairment

Developing and Validating Machine Learning Models to Predict Vaccine Hesitancy and Literacy among Adults in the United States