Frontiers in Big Data | Medicine and Public Health

Original Research

Published on 24 Aug 2023

Evaluation of methods for assigning causes of death from verbal autopsies in India

in Medicine and Public Health

Sudhir K. Benara
Saurabh Sharma
Atul Juneja
Saritha Nair
B. K. Gulati
Kh. Jitenkumar Singh
Lucky Singh
Ved Prakash Yadav
Chalapati Rao
M. Vishnu Vardhana Rao

Frontiers in Big Data

doi 10.3389/fdata.2023.1197471

3,456 views
5 citations

Editorial

Published on 04 Jul 2023

Editorial: Multimodal digital approaches to personalized medicine

in Medicine and Public Health

Ieuan Clay
Valeria De Luca
Akane Sano

Frontiers in Big Data

doi 10.3389/fdata.2023.1242482

1,974 views
2 citations

Mini Review

Published on 04 Jul 2023

Wikipedia page views for health research: a review

in Medicine and Public Health

Rowalt Alibudbud

Frontiers in Big Data

doi 10.3389/fdata.2023.1199060

7,532 views
8 citations

Perspective

Published on 22 Jun 2023

MediLinker: a blockchain-based decentralized health information management platform for patient-centric healthcare

in Medicine and Public Health

John Robert Bautista
Daniel Toshio Harrell
Ladd Hanson
Eliel de Oliveira
Mustafa Abdul-Moheeth
Eric T. Meyer
Anjum Khurshid

Frontiers in Big Data

doi 10.3389/fdata.2023.1146023

8,547 views
11 citations

Original Research

Published on 14 Jun 2023

The influence of the Pringle maneuver in laparoscopic hepatectomy: continuous monitor of hemodynamic change can predict the perioperatively physiological reservation

in Medicine and Public Health

Yi-Chan Chen
Min-Hsuan Lee
Shan-Ni Hsueh
Chien-Liang Liu
Chung-Kun Hui
Ruey-Shyang Soong

Frontiers in Big Data

doi 10.3389/fdata.2023.1042516

3,080 views

Original Research

Published on 05 May 2023

Fused multi-modal similarity network as prior in guiding brain imaging genetic association

in Medicine and Public Health

Bing He
Linhui Xie
Pradeep Varathan
Kwangsik Nho
Shannon L. Risacher
Andrew J. Saykin
Jingwen Yan
The Alzheimer's Disease Neuroimaging Initiative

Frontiers in Big Data

doi 10.3389/fdata.2023.1151893

2,373 views

Mini Review

Published on 27 Mar 2023

Google Trends for health research: Its advantages, application, methodological considerations, and limitations in psychiatric and mental health infodemiology

in Medicine and Public Health

Rowalt Alibudbud

Frontiers in Big Data

doi 10.3389/fdata.2023.1132764

10,957 views
42 citations

Original Research

Published on 02 Mar 2023

NuSegDA: Domain adaptation for nuclei segmentation

in Medicine and Public Health

Mohammad Minhazul Haq
Hehuan Ma
Junzhou Huang

Frontiers in Big Data

doi 10.3389/fdata.2023.1108659

3,025 views
4 citations

Editorial

Published on 27 Feb 2023

Editorial: AI and data science in drug development and public health: Highlights from the MCBIOS 2022 conference

in Medicine and Public Health

Ramin Homayouni
Prashanti Manda
Aik Choon Tan
Zhaohui S. Qin

Frontiers in Big Data

doi 10.3389/fdata.2023.1156811

1,834 views

Perspective

Published on 06 Feb 2023

Fresh takes on five health data sharing domains: Quality, privacy, equity, incentives, and sustainability

in Medicine and Public Health

Christi J. Guerrini
Mary A. Majumder
Jill O. Robinson
Robert Cook-Deegan
Matthew Blank
Juli Bollinger
Janis Geary
Amanda M. Gutierrez
Maya Shrikant
Amy L. McGuire

Frontiers in Big Data

doi 10.3389/fdata.2023.1095119

2,949 views

Review

Published on 01 Feb 2023

Big data in corneal diseases and cataract: Current applications and future directions

in Medicine and Public Health

Darren S. J. Ting
Rashmi Deshmukh
Daniel S. W. Ting
Marcus Ang

Frontiers in Big Data

doi 10.3389/fdata.2023.1017420

10,058 views
34 citations

Methods

Published on 06 Jan 2023

3D bi-directional transformer U-Net for medical image segmentation

in Medicine and Public Health

Xiyao Fu
Zhexian Sun
Haoteng Tang
Eric M. Zou
Heng Huang
Yong Wang
Liang Zhan

Frontiers in Big Data

doi 10.3389/fdata.2022.1080715

13,813 views
12 citations

Original Research

Published on 15 Dec 2022

The effects of long COVID-19, its severity, and the need for immediate attention: Analysis of clinical trials and Twitter data

in Medicine and Public Health

Arinjita Bhattacharyya
Anand Seth
Shesh Rai

Frontiers in Big Data

doi 10.3389/fdata.2022.1051386

3,687 views
10 citations

Brief Research Report

Published on 16 Nov 2022

Representing bacteria with unique genomic signatures

in Medicine and Public Health

Diem-Trang Pham
Vinhthuy Phan

Frontiers in Big Data

doi 10.3389/fdata.2022.1018356

1,954 views

Original Research

Published on 15 Nov 2022

Pharmacogenomics driven decision support prototype with machine learning: A framework for improving patient care

in Medicine and Public Health

Farah Kidwai-Khan
Christopher T. Rentsch
Rebecca Pulk
Charles Alcorn
Cynthia A. Brandt
Amy C. Justice

Frontiers in Big Data

doi 10.3389/fdata.2022.1059088

3,868 views
11 citations

Original Research

Published on 04 Nov 2022

WINNER: A network biology tool for biomolecular characterization and prioritization

in Medicine and Public Health

Thanh Nguyen
Zongliang Yue
Radomir Slominski
Robert Welner
Jianyi Zhang
Jake Y. Chen

Frontiers in Big Data

doi 10.3389/fdata.2022.1016606

3,632 views
4 citations

Original Research

Published on 31 Oct 2022

Application of convex hull analysis for the evaluation of data heterogeneity between patient populations of different origin and implications of hospital bias in downstream machine-learning-based data processing: A comparison of 4 critical-care patient datasets

in Medicine and Public Health

Konstantin Sharafutdinov
Jayesh S. Bhat
Sebastian Johannes Fritsch
Kateryna Nikulina
Moein E. Samadi
Richard Polzin
Hannah Mayer
Gernot Marx
Johannes Bickenbach
Andreas Schuppert

Frontiers in Big Data

doi 10.3389/fdata.2022.603429

5,298 views
8 citations

Methods

Published on 19 Oct 2022

MedGraph: A semantic biomedical information retrieval framework using knowledge graph embedding for PubMed

in Medicine and Public Health

Islam Akef Ebeid

Frontiers in Big Data

doi 10.3389/fdata.2022.965619

6,324 views
6 citations

Original Research

Published on 10 Oct 2022

Imbalanced ECG signal-based heart disease classification using ensemble machine learning technique

in Medicine and Public Health

Adyasha Rath
Debahuti Mishra
Ganapati Panda

Frontiers in Big Data

doi 10.3389/fdata.2022.1021518

7,325 views
34 citations

Original Research

Published on 28 Sep 2022

Application of multiple testing procedures for identifying relevant comorbidities, from a large set, in traumatic brain injury for research applications utilizing big health-administrative data

in Medicine and Public Health

Sayantee Jana
Mitchell Sutton
Tatyana Mollayeva
Vincy Chan
Angela Colantonio
Michael David Escobar

Frontiers in Big Data

doi 10.3389/fdata.2022.793606

2,566 views
5 citations

Opinion

Published on 27 Sep 2022

The ABC recommendations for validation of supervised machine learning results in biomedical sciences

in Medicine and Public Health

Davide Chicco
Giuseppe Jurman

Frontiers in Big Data

doi 10.3389/fdata.2022.979465

3,769 views
12 citations

Original Research

Published on 12 Sep 2022

A novel interpretable machine learning algorithm to identify optimal parameter space for cancer growth

in Medicine and Public Health

Helena Coggan
Helena Andres Terre
Pietro Liò

Frontiers in Big Data

doi 10.3389/fdata.2022.941451

3,151 views

Perspective

Published on 29 Aug 2022

Lessons learned: A neuroimaging research center's transition to open and reproducible science

in Medicine and Public Health

Keith A. Bush
Maegan L. Calvert
Clinton D. Kilts

Frontiers in Big Data

doi 10.3389/fdata.2022.988084

4,091 views
10 citations

Original Research

Published on 17 Aug 2022

A multimodal clinical data resource for personalized risk assessment of sudden unexpected death in epilepsy

in Medicine and Public Health

Xiaojin Li
Shiqiang Tao
Samden D. Lhatoo
Licong Cui
Yan Huang
Johnson P. Hampson
Guo-Qiang Zhang

Frontiers in Big Data

doi 10.3389/fdata.2022.965715

4,793 views
10 citations

142 articles

articles

Evaluation of methods for assigning causes of death from verbal autopsies in India

Editorial: Multimodal digital approaches to personalized medicine

Wikipedia page views for health research: a review

MediLinker: a blockchain-based decentralized health information management platform for patient-centric healthcare

The influence of the Pringle maneuver in laparoscopic hepatectomy: continuous monitor of hemodynamic change can predict the perioperatively physiological reservation

Fused multi-modal similarity network as prior in guiding brain imaging genetic association

Google Trends for health research: Its advantages, application, methodological considerations, and limitations in psychiatric and mental health infodemiology

NuSegDA: Domain adaptation for nuclei segmentation

Editorial: AI and data science in drug development and public health: Highlights from the MCBIOS 2022 conference

Fresh takes on five health data sharing domains: Quality, privacy, equity, incentives, and sustainability

Big data in corneal diseases and cataract: Current applications and future directions

3D bi-directional transformer U-Net for medical image segmentation

The effects of long COVID-19, its severity, and the need for immediate attention: Analysis of clinical trials and Twitter data

Representing bacteria with unique genomic signatures

Pharmacogenomics driven decision support prototype with machine learning: A framework for improving patient care

WINNER: A network biology tool for biomolecular characterization and prioritization

Application of convex hull analysis for the evaluation of data heterogeneity between patient populations of different origin and implications of hospital bias in downstream machine-learning-based data processing: A comparison of 4 critical-care patient datasets

MedGraph: A semantic biomedical information retrieval framework using knowledge graph embedding for PubMed

Imbalanced ECG signal-based heart disease classification using ensemble machine learning technique

Application of multiple testing procedures for identifying relevant comorbidities, from a large set, in traumatic brain injury for research applications utilizing big health-administrative data

The ABC recommendations for validation of supervised machine learning results in biomedical sciences

A novel interpretable machine learning algorithm to identify optimal parameter space for cancer growth

Lessons learned: A neuroimaging research center's transition to open and reproducible science

A multimodal clinical data resource for personalized risk assessment of sudden unexpected death in epilepsy