Improving child health through Big Data and data science

ZA Vesoulis, AN Husain, FS Cole - Pediatric research, 2023 - nature.com
Child health is defined by a complex, dynamic network of genetic, cultural, nutritional,
infectious, and environmental determinants at distinct, developmentally determined epochs …

Machine learning approaches for electronic health records phenotyping: a methodical review

S Yang, P Varghese, E Stephenson… - Journal of the …, 2023 - academic.oup.com
Objective Accurate and rapid phenotyping is a prerequisite to leveraging electronic health
records for biomedical research. While early phenotyping relied on rule-based algorithms …

Long-term kidney function recovery and mortality after COVID-19-associated acute kidney injury: an international multi-centre observational cohort study

BWL Tan, BWQ Tan, ALM Tan, ER Schriver… - …, 2023 - thelancet.com
Background While acute kidney injury (AKI) is a common complication in COVID-19, data on
post-AKI kidney function recovery and the clinical factors associated with poor kidney …

[HTML][HTML] COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records

JH Thygesen, C Tomlinson, S Hollings… - The Lancet Digital …, 2022 - thelancet.com
Background Updatable estimates of COVID-19 onset, progression, and trajectories underpin
pandemic mitigation efforts. To identify and characterise disease trajectories, we aimed to …

[HTML][HTML] Distinguishing admissions specifically for COVID-19 from incidental SARS-CoV-2 admissions: national retrospective electronic health record study

JG Klann, ZH Strasser, MR Hutch, CJ Kennedy… - Journal of medical …, 2022 - jmir.org
Background Admissions are generally classified as COVID-19 hospitalizations if the patient
has a positive SARS-CoV-2 polymerase chain reaction (PCR) test. However, because 35 …

Federated and distributed learning applications for electronic health records and structured medical data: a scoping review

S Li, P Liu, GG Nascimento, X Wang… - Journal of the …, 2023 - academic.oup.com
Objectives Federated learning (FL) has gained popularity in clinical research in recent years
to facilitate privacy-preserving collaboration. Structured data, one of the most prevalent …

[HTML][HTML] International changes in COVID-19 clinical trajectories across 315 hospitals and 6 countries: retrospective cohort study

GM Weber, HG Zhang, S L'Yi, CL Bonzel… - Journal of medical …, 2021 - jmir.org
Background Many countries have experienced 2 predominant waves of COVID-19–related
hospitalizations. Comparing the clinical trajectories of patients hospitalized in separate …

Artificial intelligence bias in medical system designs: A systematic review

A Kumar, V Aelgani, R Vohra, SK Gupta… - Multimedia Tools and …, 2024 - Springer
Inherent bias in the artificial intelligence (AI)-model brings inaccuracies and variabilities
during clinical deployment of the model. It is challenging to recognize the source of bias in AI …

Understanding enterprise data warehouses to support clinical and translational research: enterprise information technology relationships, data governance, workforce …

BM Knosp, CK Craven, DA Dorr… - Journal of the …, 2022 - academic.oup.com
Abstract Objective Among National Institutes of Health Clinical and Translational Science
Award (CTSA) hubs, effective approaches for enterprise data warehouses for research …

The global health informatics landscape and JAMIA

HSF Fraser, K Zahiri, N Kim, C Kim… - Journal of the American …, 2023 - academic.oup.com
Abstract Global Health Informatics (GHI) as a branch of health informatics has been
established for 2 decades now. During that time, great strides have been made in the …