Machine Laerning | List of Frontiers open access articles

Editorial

Published on 23 Jan 2023

Editorial: Deep learning in neuroimaging-based neurological disease analysis

in Neuroimaging Analysis and Protocols

Xiaoxiao Li
Yu Zhang
Qingyu Zhao

Frontiers in Neuroimaging

doi 10.3389/fnimg.2023.1127719

1,968 views
2 citations

Correction

Published on 08 Feb 2022

Corrigendum: Machine Learning for the Prediction of Complications in Patients After Mitral Valve Surgery

in Cardiovascular Surgery

Haiye Jiang
Leping Liu
Yongjun Wang
Hongwen Ji
Xianjun Ma
Jingyi Wu
Yuanshuai Huang
Xinhua Wang
Rong Gui
Qinyu Zhao

Frontiers in Cardiovascular Medicine

doi 10.3389/fcvm.2022.854588

2,017 views

Hypothesis and Theory

Published on 22 Jan 2019

The Immune System Computes the State of the Body: Crowd Wisdom, Machine Learning, and Immune Cell Reference Repertoires Help Manage Inflammation

in T Cell Biology

Irun R. Cohen
Sol Efroni

Frontiers in Immunology

doi 10.3389/fimmu.2019.00010

27,327 views
122 citations

Original Research

Published on 05 May 2020

Neoplastic and Non-neoplastic Acute Intracerebral Hemorrhage in CT Brain Scans: Machine Learning-Based Prediction Using Radiomic Image Features

in Stroke

Jawed Nawabi
Helge Kniep
Reza Kabiri
Gabriel Broocks
Tobias D. Faizy
Christian Thaler
Gerhard Schön
Jens Fiehler
Uta Hanning

Frontiers in Neurology

doi 10.3389/fneur.2020.00285

10,162 views
32 citations

Review

Published on 04 Oct 2022

Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review

in Neuroplasticity and Development

Parisa Moridian
Navid Ghassemi
Mahboobeh Jafari
Salam Salloum-Asfar
Delaram Sadeghi
Marjane Khodatars
Afshin Shoeibi
Abbas Khosravi
Sai Ho Ling
Abdulhamit Subasi

Frontiers in Molecular Neuroscience

doi 10.3389/fnmol.2022.999605

30,870 views
107 citations

Original Research

Published on 03 Apr 2023

Machine learning-based in-hospital mortality risk prediction tool for intensive care unit patients with heart failure

in Intensive Care Cardiovascular Medicine

Zijun Chen
Tingming Li
Sheng Guo
Deli Zeng
Kai Wang

Frontiers in Cardiovascular Medicine

doi 10.3389/fcvm.2023.1119699

9,394 views
38 citations

Original Research

Published on 23 Nov 2020

Functional Connectivity Combined With a Machine Learning Algorithm Can Classify High-Risk First-Degree Relatives of Patients With Schizophrenia and Identify Correlates of Cognitive Impairments

in Brain Imaging Methods

Wenming Liu
Xiao Zhang
Yuting Qiao
Yanhui Cai
Hong Yin
Minwen Zheng
Yuanqiang Zhu
Huaning Wang

Frontiers in Neuroscience

doi 10.3389/fnins.2020.577568

4,312 views
14 citations

Original Research

Published on 06 Oct 2020

Predictive Models May Complement or Provide an Alternative to Existing Strategies for Assessing the Enteric Pathogen Contamination Status of Northeastern Streams Used to Provide Water for Produce Production

in Agro-Food Safety

Daniel L. Weller
Tanzy M. T. Love
Alexandra Belias
Martin Wiedmann

Frontiers in Sustainable Food Systems

doi 10.3389/fsufs.2020.561517

6,046 views
29 citations

Original Research

Published on 16 Jun 2023

Identification and prediction of m7G-related Alzheimer’s disease subtypes: insights from immune infiltration and machine learning models

in Alzheimer's Disease and Related Dementias

Chao Ma
Jian Li
Yuhua Chi
Xuan Sun
Maoquan Yang
Xueqin Sui

Frontiers in Aging Neuroscience

doi 10.3389/fnagi.2023.1161068

4,667 views
8 citations

Methods

Published on 15 Dec 2020

Applying Artificial Intelligence Methods for the Estimation of Disease Incidence: The Utility of Language Models

in Health Informatics

Yuanzhao Zhang
Robert Walecki
Joanne R. Winter
Felix J. S. Bragman
Sara Lourenco
Christopher Hart
Adam Baker
Yura Perov
Saurabh Johri

Frontiers in Digital Health

doi 10.3389/fdgth.2020.569261

7,727 views
8 citations

Editorial

Published on 13 Jan 2023

Editorial: Monitoring, early warning, and mitigation of natural and engineered slopes

in Geohazards and Georisks

Wen Nie
Haijun Qiu
Afshin Asadi

Frontiers in Earth Science

doi 10.3389/feart.2022.1041180

1,697 views
2 citations

Original Research

Published on 21 Jul 2023

Connectome-based predictive modeling of smoking severity using individualized structural covariance network in smokers

in Brain Imaging Methods

Weijian Wang
Yimeng Kang
Xiaoyu Niu
Zanxia Zhang
Shujian Li
Xinyu Gao
Mengzhe Zhang
Jingliang Cheng
Yong Zhang

Frontiers in Neuroscience

doi 10.3389/fnins.2023.1227422

2,898 views
2 citations

Editorial

Published on 31 Aug 2022

Editorial: Multi-site neuroimage analysis: Domain adaptation and batch effects

Muhammad Yousefnezhad
Daoqiang Zhang
Andrew J. Greenshaw
Russell Greiner

Frontiers in Neuroinformatics

doi 10.3389/fninf.2022.994463

3,947 views
2 citations

Systematic Review

Published on 07 Jul 2022

Protein Science Meets Artificial Intelligence: A Systematic Review and a Biochemical Meta-Analysis of an Inter-Field

in Bioprocess Engineering

Jalil Villalobos-Alva
Luis Ochoa-Toledo
Mario Javier Villalobos-Alva
Atocha Aliseda
Fernando Pérez-Escamirosa
Nelly F. Altamirano-Bustamante
Francine Ochoa-Fernández
Ricardo Zamora-Solís
Sebastián Villalobos-Alva
Cristina Revilla-Monsalve

Frontiers in Bioengineering and Biotechnology

doi 10.3389/fbioe.2022.788300

21,430 views
15 citations

Original Research

Published on 11 Aug 2021

Know Yourself: Physical and Psychological Self-Awareness With Lifelog

in Health Informatics

Jiayu Li
Weizhi Ma
Min Zhang
Pengyu Wang
Yiqun Liu
Shaoping Ma

Frontiers in Digital Health

doi 10.3389/fdgth.2021.676824

36,078 views
15 citations

Original Research

Published on 02 Mar 2022

A Practical Approach for Predicting Antimicrobial Phenotype Resistance in Staphylococcus aureus Through Machine Learning Analysis of Genome Data

in Antimicrobials, Resistance and Chemotherapy

Shuyi Wang
Chunjiang Zhao
Yuyao Yin
Fengning Chen
Hongbin Chen
Hui Wang

Frontiers in Microbiology

doi 10.3389/fmicb.2022.841289

9,877 views
52 citations

Articles

Editorial: Deep learning in neuroimaging-based neurological disease analysis

Corrigendum: Machine Learning for the Prediction of Complications in Patients After Mitral Valve Surgery

The Immune System Computes the State of the Body: Crowd Wisdom, Machine Learning, and Immune Cell Reference Repertoires Help Manage Inflammation

Neoplastic and Non-neoplastic Acute Intracerebral Hemorrhage in CT Brain Scans: Machine Learning-Based Prediction Using Radiomic Image Features

Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review

Machine learning-based in-hospital mortality risk prediction tool for intensive care unit patients with heart failure

Functional Connectivity Combined With a Machine Learning Algorithm Can Classify High-Risk First-Degree Relatives of Patients With Schizophrenia and Identify Correlates of Cognitive Impairments

Predictive Models May Complement or Provide an Alternative to Existing Strategies for Assessing the Enteric Pathogen Contamination Status of Northeastern Streams Used to Provide Water for Produce Production

Identification and prediction of m7G-related Alzheimer’s disease subtypes: insights from immune infiltration and machine learning models

Applying Artificial Intelligence Methods for the Estimation of Disease Incidence: The Utility of Language Models

Editorial: Monitoring, early warning, and mitigation of natural and engineered slopes

Connectome-based predictive modeling of smoking severity using individualized structural covariance network in smokers

Editorial: Multi-site neuroimage analysis: Domain adaptation and batch effects

Protein Science Meets Artificial Intelligence: A Systematic Review and a Biochemical Meta-Analysis of an Inter-Field

Know Yourself: Physical and Psychological Self-Awareness With Lifelog

A Practical Approach for Predicting Antimicrobial Phenotype Resistance in Staphylococcus aureus Through Machine Learning Analysis of Genome Data