Frontiers in Big Data | Medicine and Public Health

Original Research

Published on 27 Aug 2021

Computer Vision for Continuous Bedside Pharmacological Data Extraction: A Novel Application of Artificial Intelligence for Clinical Data Recording and Biomedical Research

in Medicine and Public Health

Logan Froese
Joshua Dian
Carleen Batson
Alwyn Gomez
Amanjyot Singh Sainbhi
Bertram Unger
Frederick A. Zeiler

Frontiers in Big Data

doi 10.3389/fdata.2021.689358

5,227 views
11 citations

Methods

Published on 20 Aug 2021

Disease Modelling of Cognitive Outcomes and Biomarkers in the European Prevention of Alzheimer’s Dementia Longitudinal Cohort

in Medicine and Public Health

James Howlett
Steven M. Hill
Craig W. Ritchie
Brian D. M. Tom

Frontiers in Big Data

doi 10.3389/fdata.2021.676168

6,317 views
7 citations

Original Research

Published on 05 Aug 2021

A Multi-Study Model-Based Evaluation of the Sequence of Imaging and Clinical Biomarker Changes in Huntington’s Disease

in Medicine and Public Health

Peter A. Wijeratne
Eileanoir B. Johnson
Sarah Gregory
Nellie Georgiou-Karistianis
Jane S. Paulsen
Rachael I. Scahill
Sarah J. Tabrizi
Daniel C. Alexander

Frontiers in Big Data

doi 10.3389/fdata.2021.662200

4,814 views
5 citations

Original Research

Published on 30 Jul 2021

Differences Between MR Brain Region Segmentation Methods: Impact on Single-Subject Analysis

in Medicine and Public Health

W. Huizinga
D. H. J. Poot
E. J. Vinke
F. Wenzel
E. E. Bron
N. Toussaint
C. Ledig
H. Vrooman
M. A. Ikram
W. J. Niessen

Frontiers in Big Data

doi 10.3389/fdata.2021.577164

4,350 views
4 citations

Original Research

Published on 29 Jul 2021

Conditional-GAN Based Data Augmentation for Deep Learning Task Classifier Improvement Using fNIRS Data

in Medicine and Public Health

Sajila D. Wickramaratne
Md.Shaad Mahmud

Frontiers in Big Data

doi 10.3389/fdata.2021.659146

17,851 views
45 citations

Brief Research Report

Published on 26 Jul 2021

COVID-19 as a Research Dynamic Transformer: Emerging Cross-Disciplinary and National Characteristics

in Medicine and Public Health

Ryosuke L. Ohniwa
Joji Kijima
Mizuho Fukushige
Osamu Ohneda

Frontiers in Big Data

doi 10.3389/fdata.2021.631073

3,413 views
21 citations

Original Research

Published on 16 Jul 2021

An Integrated Deep Network for Cancer Survival Prediction Using Omics Data

in Medicine and Public Health

Hamid Reza Hassanzadeh
May D. Wang

Frontiers in Big Data

doi 10.3389/fdata.2021.568352

3,672 views
15 citations

Editorial

Published on 12 Jul 2021

Editorial: ML and AI Safety, Effectiveness and Explainability in Healthcare

in Medicine and Public Health

David Benrimoh
Sonia Israel
Robert Fratila
Caitrin Armstrong
Kelly Perlman
Ariel Rosenfeld
Adam Kapelner

Frontiers in Big Data

doi 10.3389/fdata.2021.727856

4,877 views
17 citations

Original Research

Published on 15 Jun 2021

Comprehensive Data Integration Approach to Assess Immune Responses and Correlates of RTS,S/AS01-Mediated Protection From Malaria Infection in Controlled Human Malaria Infection Trials

in Medicine and Public Health

William Chad Young
Lindsay N. Carpp
Sidhartha Chaudhury
Jason A. Regules
Elke S. Bergmann-Leitner
Christian Ockenhouse
Ulrike Wille-Reece
Allan C. deCamp
Ellis Hughes
Celia Mahoney

Frontiers in Big Data

doi 10.3389/fdata.2021.672460

8,450 views
17 citations

Original Research

Published on 04 Jun 2021

Development of An Individualized Risk Prediction Model for COVID-19 Using Electronic Health Record Data

in Medicine and Public Health

Tarun Karthik Kumar Mamidi
Thi K. Tran-Nguyen
Ryan L. Melvin
Elizabeth A. Worthey

Frontiers in Big Data

doi 10.3389/fdata.2021.675882

8,311 views
13 citations

Opinion

Published on 01 Jun 2021

Social Media Big Data: The Good, The Bad, and the Ugly (Un)truths

in Medicine and Public Health

Alton M. K. Chew
Dinesh Visva Gunasekeran

Frontiers in Big Data

doi 10.3389/fdata.2021.623794

30,551 views
23 citations

Original Research

Published on 26 May 2021

Interpretability of Machine Learning Solutions in Public Healthcare: The CRISP-ML Approach

in Medicine and Public Health

Inna Kolyshkina
Simeon Simoff

Frontiers in Big Data

doi 10.3389/fdata.2021.660206

16,285 views
55 citations

Original Research

Published on 26 May 2021

Developing an Explainable Machine Learning-Based Personalised Dementia Risk Prediction Model: A Transfer Learning Approach With Ensemble Learning Algorithms

in Medicine and Public Health

Samuel O. Danso
Zhanhang Zeng
Graciela Muniz-Terrera
Craig W. Ritchie

Frontiers in Big Data

doi 10.3389/fdata.2021.613047

17,887 views
63 citations

Original Research

Published on 20 May 2021

Inter-Cohort Validation of SuStaIn Model for Alzheimer’s Disease

in Medicine and Public Health

Damiano Archetti
Alexandra L. Young
Neil P. Oxtoby
Daniel Ferreira
Gustav Mårtensson
Eric Westman
Daniel C. Alexander
Giovanni B. Frisoni
Alberto Redolfi
for Alzheimer’s Disease Neuroimaging Initiative and EuroPOND Consortium

Frontiers in Big Data

doi 10.3389/fdata.2021.661110

10,826 views
26 citations

Original Research

Published on 18 May 2021

Evaluating the Effectiveness of Personalized Medicine With Software

in Medicine and Public Health

Adam Kapelner
Justin Bleich
Alina Levine
Zachary D. Cohen
Robert J. DeRubeis
Richard Berk

Frontiers in Big Data

doi 10.3389/fdata.2021.572532

10,057 views
17 citations

Original Research

Published on 14 May 2021

Requirements for a Dashboard to Support Quality Improvement Teams in Pain Management

in Medicine and Public Health

Jeremy Opie
Maura Bellio
Rachel Williams
Maya Sussman
Petra Voegele
John Welch
Ann Blandford

Frontiers in Big Data

doi 10.3389/fdata.2021.654914

7,305 views
8 citations

Original Research

Published on 13 May 2021

Up-to-the-Minute Privacy Policies via Gossips in Participatory Epidemiological Studies

in Medicine and Public Health

Aakash Sharma
Thomas Bye Nilsen
Katja Pauline Czerwinska
Daria Onitiu
Lars Brenna
Dag Johansen
Håvard D. Johansen

Frontiers in Big Data

doi 10.3389/fdata.2021.624424

4,070 views
4 citations

Original Research

Published on 04 May 2021

Association vs. Prediction: The Impact of Cortical Surface Smoothing and Parcellation on Brain Age

in Medicine and Public Health

Yashar Zeighami
Alan C. Evans

Frontiers in Big Data

doi 10.3389/fdata.2021.637724

4,353 views
12 citations

Study Protocol

Published on 16 Apr 2021

Predicting Admissions From a Paediatric Emergency Department – Protocol for Developing and Validating a Low-Dimensional Machine Learning Prediction Model

in Medicine and Public Health

Fiona Leonard
John Gilligan
Michael J. Barrett

Frontiers in Big Data

doi 10.3389/fdata.2021.643558

5,950 views
2 citations

Review

Published on 09 Mar 2021

Sonographic Diagnosis of COVID-19: A Review of Image Processing for Lung Ultrasound

in Medicine and Public Health

Conor McDermott
Maciej Łącki
Ben Sainsbury
Jessica Henry
Mihail Filippov
Carlos Rossa

Frontiers in Big Data

doi 10.3389/fdata.2021.612561

10,374 views
29 citations

Opinion

Published on 12 Feb 2021

A Policy and Practice Review of Consumer Protections and Their Application to Hospital-Sourced Data Aggregation and Analytics by Third-Party Companies

in Medicine and Public Health

Vasiliki Rahimzadeh

Frontiers in Big Data

doi 10.3389/fdata.2020.603044

6,596 views
4 citations

Original Research

Published on 14 Jan 2021

Identifying Clinical and Genomic Features Associated With Chronic Kidney Disease

in Medicine and Public Health

M. Megan Moreno
Travaughn C. Bain
Melissa S. Moreno
Katherine C. Carroll
Emily R. Cunningham
Zoe Ashton
Roby Poteau
Ersoy Subasi
Michael Lipkowitz
Munevver Mine Subasi

Frontiers in Big Data

doi 10.3389/fdata.2020.528828

4,974 views
1 citation

Original Research

Published on 18 Dec 2020

The Bayesian Additive Regression Trees Formula for Safe Machine Learning-Based Intraocular Lens Predictions

in Medicine and Public Health

Gerald P. Clarke
Adam Kapelner

Frontiers in Big Data

doi 10.3389/fdata.2020.572134

5,500 views
16 citations

Review

Published on 23 Nov 2020

Machine Learning Methods to Predict Acute Respiratory Failure and Acute Respiratory Distress Syndrome

in Medicine and Public Health

An-Kwok Ian Wong
Patricia C. Cheung
Rishikesan Kamaleswaran
Greg S. Martin
Andre L. Holder

Frontiers in Big Data

doi 10.3389/fdata.2020.579774

12,720 views
22 citations

142 articles

articles

Computer Vision for Continuous Bedside Pharmacological Data Extraction: A Novel Application of Artificial Intelligence for Clinical Data Recording and Biomedical Research

Disease Modelling of Cognitive Outcomes and Biomarkers in the European Prevention of Alzheimer’s Dementia Longitudinal Cohort

A Multi-Study Model-Based Evaluation of the Sequence of Imaging and Clinical Biomarker Changes in Huntington’s Disease

Differences Between MR Brain Region Segmentation Methods: Impact on Single-Subject Analysis

Conditional-GAN Based Data Augmentation for Deep Learning Task Classifier Improvement Using fNIRS Data

COVID-19 as a Research Dynamic Transformer: Emerging Cross-Disciplinary and National Characteristics

An Integrated Deep Network for Cancer Survival Prediction Using Omics Data

Editorial: ML and AI Safety, Effectiveness and Explainability in Healthcare

Comprehensive Data Integration Approach to Assess Immune Responses and Correlates of RTS,S/AS01-Mediated Protection From Malaria Infection in Controlled Human Malaria Infection Trials

Development of An Individualized Risk Prediction Model for COVID-19 Using Electronic Health Record Data

Social Media Big Data: The Good, The Bad, and the Ugly (Un)truths

Interpretability of Machine Learning Solutions in Public Healthcare: The CRISP-ML Approach

Developing an Explainable Machine Learning-Based Personalised Dementia Risk Prediction Model: A Transfer Learning Approach With Ensemble Learning Algorithms

Inter-Cohort Validation of SuStaIn Model for Alzheimer’s Disease

Evaluating the Effectiveness of Personalized Medicine With Software

Requirements for a Dashboard to Support Quality Improvement Teams in Pain Management

Up-to-the-Minute Privacy Policies via Gossips in Participatory Epidemiological Studies

Association vs. Prediction: The Impact of Cortical Surface Smoothing and Parcellation on Brain Age

Predicting Admissions From a Paediatric Emergency Department – Protocol for Developing and Validating a Low-Dimensional Machine Learning Prediction Model

Sonographic Diagnosis of COVID-19: A Review of Image Processing for Lung Ultrasound

A Policy and Practice Review of Consumer Protections and Their Application to Hospital-Sourced Data Aggregation and Analytics by Third-Party Companies

Identifying Clinical and Genomic Features Associated With Chronic Kidney Disease

The Bayesian Additive Regression Trees Formula for Safe Machine Learning-Based Intraocular Lens Predictions

Machine Learning Methods to Predict Acute Respiratory Failure and Acute Respiratory Distress Syndrome