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

4,650 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

8,104 views
28 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

5,121 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

3,483 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

4,220 views
13 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

10,486 views
17 citations

Original Research

Published on 30 Oct 2020

The Human Blood Transcriptome in a Large Population Cohort and Its Relation to Aging and Health

in Medicine and Public Health

Maria Schmidt
Lydia Hopp
Arsen Arakelyan
Holger Kirsten
Christoph Engel
Kerstin Wirkner
Knut Krohn
Ralph Burkhardt
Joachim Thiery
Markus Loeffler

Frontiers in Big Data

doi 10.3389/fdata.2020.548873

13,767 views
27 citations

Original Research

Published on 15 Oct 2020

Inferring True COVID19 Infection Rates From Deaths

in Medicine and Public Health

Ian McCulloh
Kevin Kiernan
Trevor Kent

Frontiers in Big Data

doi 10.3389/fdata.2020.565589

12,766 views
20 citations

Hypothesis and Theory

Published on 14 Aug 2020

Embodied Predictions, Agency, and Psychosis

in Medicine and Public Health

Pantelis Leptourgos
Philip R. Corlett

Frontiers in Big Data

doi 10.3389/fdata.2020.00027

8,629 views
36 citations

Original Research

Published on 12 Aug 2020

Statistical Disease Progression Modeling in Alzheimer Disease

in Medicine and Public Health

Lars Lau Raket

Frontiers in Big Data

doi 10.3389/fdata.2020.00024

20,293 views
50 citations

Brief Research Report

Published on 24 Jul 2020

Novel Criteria for When and How to Exit a COVID-19 Pandemic Lockdown

in Medicine and Public Health

Chenyu Li
Paola Romagnani
Hans-Joachim Anders

Frontiers in Big Data

doi 10.3389/fdata.2020.00026

4,059 views
5 citations

Technology and Code

Published on 17 Jun 2020

The ADC API: A Web API for the Programmatic Query of the AIRR Data Commons

in Medicine and Public Health

Scott Christley
Ademar Aguiar
George Blanck
Felix Breden
Syed Ahmad Chan Bukhari
Christian E. Busse
Jerome Jaglale
Srilakshmy L. Harikrishnan
Uri Laserson
Bjoern Peters

Frontiers in Big Data

doi 10.3389/fdata.2020.00022

7,319 views
33 citations

Original Research

Published on 02 Jun 2020

Reducing Annotation Burden Through Multimodal Learning

in Medicine and Public Health

Kevin Lopez
Samah J. Fodeh
Ahmed Allam
Cynthia A. Brandt
Michael Krauthammer

Frontiers in Big Data

doi 10.3389/fdata.2020.00019

5,567 views
13 citations

Methods

Published on 28 May 2020

Variational Autoencoder Modular Bayesian Networks for Simulation of Heterogeneous Clinical Study Data

in Medicine and Public Health

Luise Gootjes-Dreesbach
Meemansa Sood
Akrishta Sahay
Martin Hofmann-Apitius
Holger Fröhlich

Frontiers in Big Data

doi 10.3389/fdata.2020.00016

9,469 views
23 citations

Brief Research Report

Published on 30 Apr 2020

Improving Diagnosis of Depression With XGBOOST Machine Learning Model and a Large Biomarkers Dutch Dataset (n = 11,081)

in Medicine and Public Health

Amita Sharma
Willem J. M. I. Verbeke

Frontiers in Big Data

doi 10.3389/fdata.2020.00015

19,895 views
86 citations

Original Research

Published on 19 Mar 2020

AI in Healthcare: Time-Series Forecasting Using Statistical, Neural, and Ensemble Architectures

in Medicine and Public Health

Shruti Kaushik
Abhinav Choudhury
Pankaj Kumar Sheron
Nataraj Dasgupta
Sayee Natarajan
Larry A. Pickett
Varun Dutt

Frontiers in Big Data

doi 10.3389/fdata.2020.00004

57,573 views
119 citations

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Articles

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

The Human Blood Transcriptome in a Large Population Cohort and Its Relation to Aging and Health

Inferring True COVID19 Infection Rates From Deaths

Embodied Predictions, Agency, and Psychosis

Statistical Disease Progression Modeling in Alzheimer Disease

Novel Criteria for When and How to Exit a COVID-19 Pandemic Lockdown

The ADC API: A Web API for the Programmatic Query of the AIRR Data Commons

Reducing Annotation Burden Through Multimodal Learning

Variational Autoencoder Modular Bayesian Networks for Simulation of Heterogeneous Clinical Study Data

Improving Diagnosis of Depression With XGBOOST Machine Learning Model and a Large Biomarkers Dutch Dataset (n = 11,081)

AI in Healthcare: Time-Series Forecasting Using Statistical, Neural, and Ensemble Architectures