Original Research

Accepted on 12 Nov 2024

Application of a localized morphometrics approach to imaging-derived brain phenotypes for genotypephenotype associations in pediatric mental health and neurodevelopmental disorders

in Medicine and Public Health

Gabrielle Dagasso
Matthias Wilms
Sarah J. MacEachern
Nils Daniel Forkert

Frontiers in Big Data

doi 10.3389/fdata.2024.1429910

Systematic Review

Accepted on 11 Nov 2024

Cross-border collaboration, communication, and research frontiers on biologics in chronic rhinosinusitis from 2004 to 2023

in Medicine and Public Health

Guan-Jiang Huang
Zhi-Jun Fan
Biao-Qing Lu

Frontiers in Big Data

doi 10.3389/fdata.2024.1428074

Original Research

Accepted on 08 Nov 2024

A Supervised Learning-Based Classification Technique for Precise Identification of Monkeypox Using Skin Imaging

in Medicine and Public Health

Vandana -
Chetna Sharma
Yonis Gulzar
Mohammad Shuaib Mir

Frontiers in Big Data

doi 10.3389/fdata.2024.1506567

106 views

Editorial

Published on 22 Oct 2024

Editorial: Utilizing big data and deep learning to improve healthcare intelligence and biomedical service delivery

in Medicine and Public Health

V. E. Sathishkumar

Frontiers in Big Data

doi 10.3389/fdata.2024.1502398

743 views

Original Research

Published on 03 Oct 2024

Unsupervised machine learning model for detecting anomalous volumetric modulated arc therapy plans for lung cancer patients

in Medicine and Public Health

Peng Huang
Jiawen Shang
Yuhan Fan
Zhihui Hu
Jianrong Dai
Zhiqiang Liu
Hui Yan

Frontiers in Big Data

doi 10.3389/fdata.2024.1462745

623 views

Systematic Review

Published on 25 Sep 2024

Making the most of big qualitative datasets: a living systematic review of analysis methods

in Medicine and Public Health

Abinaya Chandrasekar
Sigrún Eyrúnardóttir Clark
Sam Martin
Samantha Vanderslott
Elaine C. Flores
David Aceituno
Phoebe Barnett
Cecilia Vindrola-Padros
Norha Vera San Juan

Frontiers in Big Data

doi 10.3389/fdata.2024.1455399

1,409 views

Review

Published on 19 Sep 2024

Data-driven classification and explainable-AI in the field of lung imaging

in Medicine and Public Health

Syed Taimoor Hussain Shah
Syed Adil Hussain Shah
Iqra Iqbal Khan
Atif Imran
Syed Baqir Hussain Shah
Atif Mehmood
Shahzad Ahmad Qureshi
Mudassar Raza
Angelo Di Terlizzi
Marco Cavaglià

Frontiers in Big Data

doi 10.3389/fdata.2024.1393758

1,071 views

Original Research

Published on 27 Jun 2024

YOLOv8's advancements in tuberculosis identification from chest images

in Medicine and Public Health

Mohamudha Parveen Rahamathulla
W. R. Sam Emmanuel
A. Bindhu
Mohamed Mustaq Ahmed

Frontiers in Big Data

doi 10.3389/fdata.2024.1401981

1,584 views
1 citation

Original Research

Published on 26 Jun 2024

MedT5SQL: a transformers-based large language model for text-to-SQL conversion in the healthcare domain

in Medicine and Public Health

Alaa Marshan
Anwar Nais Almutairi
Athina Ioannou
David Bell
Asmat Monaghan
Mahir Arzoky

Frontiers in Big Data

doi 10.3389/fdata.2024.1371680

2,065 views

Original Research

Published on 17 Jun 2024

Toward the design of persuasive systems for a healthy workplace: a real-time posture detection

in Medicine and Public Health

Grace Ataguba
Rita Orji

Frontiers in Big Data

doi 10.3389/fdata.2024.1359906

1,186 views

Mini Review

Published on 20 May 2024

Big data and its impact on the 3Rs: a home cage monitoring oriented review

in Medicine and Public Health

Sara Fuochi
Mara Rigamonti
Eoin C. O'Connor
Paolo De Girolamo
Livia D'Angelo

Frontiers in Big Data

doi 10.3389/fdata.2024.1390467

1,338 views
1 citation

Original Research

Published on 16 May 2024

Development and application of a machine learning-based predictive model for obstructive sleep apnea screening

in Medicine and Public Health

Kang Liu
Shi Geng
Ping Shen
Lei Zhao
Peng Zhou
Wen Liu

Frontiers in Big Data

doi 10.3389/fdata.2024.1353469

1,951 views
1 citation

Original Research

Published on 02 May 2024

Toward explainable AI in radiology: Ensemble-CAM for effective thoracic disease localization in chest X-ray images using weak supervised learning

in Medicine and Public Health

Muhammad Aasem
Muhammad Javed Iqbal

Frontiers in Big Data

doi 10.3389/fdata.2024.1366415

1,255 views

Original Research

Published on 25 Mar 2024

Exploring dermoscopic structures for melanoma lesions' classification

in Medicine and Public Health

Fiza Saeed Malik
Muhammad Haroon Yousaf
Hassan Ahmed Sial
Serestina Viriri

Frontiers in Big Data

doi 10.3389/fdata.2024.1366312

2,968 views

Original Research

Published on 18 Mar 2024

The impact of comorbidities and economic inequality on COVID-19 mortality in Mexico: a machine learning approach

in Medicine and Public Health

Jorge Méndez-Astudillo

Frontiers in Big Data

doi 10.3389/fdata.2024.1298029

1,993 views

Original Research

Published on 29 Feb 2024

Predicting risk of preterm birth in singleton pregnancies using machine learning algorithms

in Medicine and Public Health

Qiu-Yan Yu
Ying Lin
Yu-Run Zhou
Xin-Jun Yang
Joris Hemelaar

Frontiers in Big Data

doi 10.3389/fdata.2024.1291196

1,850 views
2 citations

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Articles

Application of a localized morphometrics approach to imaging-derived brain phenotypes for genotypephenotype associations in pediatric mental health and neurodevelopmental disorders

Cross-border collaboration, communication, and research frontiers on biologics in chronic rhinosinusitis from 2004 to 2023

A Supervised Learning-Based Classification Technique for Precise Identification of Monkeypox Using Skin Imaging

Editorial: Utilizing big data and deep learning to improve healthcare intelligence and biomedical service delivery

Unsupervised machine learning model for detecting anomalous volumetric modulated arc therapy plans for lung cancer patients

Making the most of big qualitative datasets: a living systematic review of analysis methods

Data-driven classification and explainable-AI in the field of lung imaging

YOLOv8's advancements in tuberculosis identification from chest images

MedT5SQL: a transformers-based large language model for text-to-SQL conversion in the healthcare domain

Toward the design of persuasive systems for a healthy workplace: a real-time posture detection

Big data and its impact on the 3Rs: a home cage monitoring oriented review

Development and application of a machine learning-based predictive model for obstructive sleep apnea screening

Toward explainable AI in radiology: Ensemble-CAM for effective thoracic disease localization in chest X-ray images using weak supervised learning

Exploring dermoscopic structures for melanoma lesions' classification

The impact of comorbidities and economic inequality on COVID-19 mortality in Mexico: a machine learning approach

Predicting risk of preterm birth in singleton pregnancies using machine learning algorithms