Predictive Classification | List of Frontiers open access articles

Original Research

Published on 28 Jan 2021

A Novel Glycolysis-Related Four-mRNA Signature for Predicting the Survival of Patients With Breast Cancer

in Genomic Medicine

Xiaolu Zhang
Jia Wang
Jing Zhuang
Cun Liu
Chundi Gao
Huayao Li
Xiaoran Ma
Jie Li
Changgang Sun

Frontiers in Genetics

doi 10.3389/fgene.2021.606937

4,672 views
23 citations

Original Research

Published on 31 Jan 2025

Goal and shot prediction in ball possessions in FIFA Women’s World Cup 2023: a machine learning approach

in Movement Science

Iyán Iván-Baragaño
Antonio Ardá
José L. Losada
Rubén Maneiro

Frontiers in Psychology

doi 10.3389/fpsyg.2025.1516417

3,408 views
4 citations

Original Research

Published on 16 Aug 2023

Enhancing host-pathogen phenotyping dynamics: early detection of tomato bacterial diseases using hyperspectral point measurement and predictive modeling

in Sustainable and Intelligent Phytoprotection

Mafalda Reis Pereira
Filipe Neves dos Santos
Fernando Tavares
Mário Cunha

Frontiers in Plant Science

doi 10.3389/fpls.2023.1242201

5,723 views
19 citations

Original Research

Published on 12 May 2020

Radiomics of Multiparametric MRI to Predict Biochemical Recurrence of Localized Prostate Cancer After Radiation Therapy

in Cancer Imaging and Image-directed Interventions

Qiu-Zi Zhong
Liu-Hua Long
An Liu
Chun-Mei Li
Xia Xiu
Xiu-Yu Hou
Qin-Hong Wu
Hong Gao
Yong-Gang Xu
Ting Zhao

Frontiers in Oncology

doi 10.3389/fonc.2020.00731

7,806 views
53 citations

Original Research

Published on 19 Jul 2018

Sleep Duration and Physical Activity Profiles Associated With Self-Reported Stroke in the United States: Application of Bayesian Belief Network Modeling Techniques

in Stroke

Azizi A. Seixas
Dwayne A. Henclewood
Stephen K. Williams
Ram Jagannathan
Alberto Ramos
Ferdinand Zizi
Girardin Jean-Louis

Frontiers in Neurology

doi 10.3389/fneur.2018.00534

6,124 views
14 citations

Original Research

Published on 28 Jan 2022

Applying Machine Learning to Carotid Sonographic Features for Recurrent Stroke in Patients With Acute Stroke

in Cardiovascular Imaging

Shih-Yi Lin
Kin-Man Law
Yi-Chun Yeh
Kuo-Chen Wu
Jhih-Han Lai
Chih-Hsueh Lin
Wu-Huei Hsu
Cheng-Chieh Lin
Chia-Hung Kao

Frontiers in Cardiovascular Medicine

doi 10.3389/fcvm.2022.804410

6,289 views
14 citations

Articles

A Novel Glycolysis-Related Four-mRNA Signature for Predicting the Survival of Patients With Breast Cancer

Goal and shot prediction in ball possessions in FIFA Women’s World Cup 2023: a machine learning approach

Enhancing host-pathogen phenotyping dynamics: early detection of tomato bacterial diseases using hyperspectral point measurement and predictive modeling

Radiomics of Multiparametric MRI to Predict Biochemical Recurrence of Localized Prostate Cancer After Radiation Therapy

Sleep Duration and Physical Activity Profiles Associated With Self-Reported Stroke in the United States: Application of Bayesian Belief Network Modeling Techniques

Applying Machine Learning to Carotid Sonographic Features for Recurrent Stroke in Patients With Acute Stroke