Concordance of randomised controlled trials for artificial intelligence interventions with the CONSORT-AI reporting guidelines

APL Martindale, CD Llewellyn, RO De Visser… - Nature …, 2024 - nature.com
Abstract The Consolidated Standards of Reporting Trials extension for Artificial Intelligence
interventions (CONSORT-AI) was published in September 2020. Since its publication …

The Impact of Telemedicine during Severe Acute Respiratory Syndrome Coronavirus 2 Pandemic and Future Perspectives: A Systematic Review

G Monteleone, G Terzulli, F Cefaloni, M Bonini… - Respiration, 2023 - karger.com
Introduction: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spread
worldwide since December 2019, causing the COVID-19 pandemic. Several measures have …

Classification performance assessment for imbalanced multiclass data

JS Aguilar-Ruiz, M Michalak - Scientific Reports, 2024 - nature.com
The evaluation of diagnostic systems is pivotal for ensuring the deployment of high-quality
solutions, especially given the pronounced context-sensitivity of certain systems, particularly …

Multiclass classification performance curve

JS Aguilar-Ruiz, M Michalak - IEEE Access, 2022 - ieeexplore.ieee.org
Quality of predictive models is a critical factor. Many evaluation measures have been
proposed for binary and multi–class datasets. However, less attention has been paid to …

Health Equity in Clinical Research Informatics

S Maurud, SH Henni, A Moen - Yearbook of Medical Informatics, 2023 - thieme-connect.com
Objectives: Through a sco** review, we examine in this survey what ways health equity
has been promoted in clinical research informatics with patient implications and especially …

[HTML][HTML] Opportunities and lessons learned from a retrospective analysis of administrative billing data to understand the language profile of high-risk close contacts of …

A Chambers, MA Cachia… - Canada Communicable …, 2024 - pmc.ncbi.nlm.nih.gov
Background During a public health emergency, it is vital to have access to data sources that
can identify communities disproportionately affected and to ensure public health …

Designing Accountable Health Care Algorithms: Lessons from Covid-19 Contact Tracing

L Lu, A D'Agostino, SL Rudman… - … Catalyst Innovations in …, 2022 - catalyst.nejm.org
An academic team at Stanford University worked with the County of Santa Clara Public
Health Department to develop a machine-learning system for language matching in Covid …

[HTML][HTML] A retrospective analysis of data to understand the language profile of COVID-19 cases

A Chambers, MA Cachia, JP Hopkins - 2024 - canada.ca
Background: During a public health emergency, it is vital to have access to data sources that
can identify communities disproportionately affected and to ensure public health …

[PDF][PDF] Possibilités et leçons apprises d'une analyse rétrospective des données administratives de facturation pour comprendre le profil linguistique des contacts étroits …

A Chambers, MA Cachia, JP Hopkins - Relevé des maladies …, 2024 - canada.ca
Résumé Contexte: Lors d'une urgence de santé publique, il est essentiel d'avoir accès à des
sources de données permettant d'identifier les communautés touchées de manière …

[PDF][PDF] How to Build Academic-Public Health Partnerships: The Stanford-Santa Clara County Experience with COVID-19 Response1

SH Cody, DE Ho - dho.stanford.edu
In March 2020, in conjunction with five other Bay Area counties, one of us issued the first
shelter-in-place order in the country. As the county health officer of Santa Clara County, CA …