Big data and machine learning algorithms for health-care delivery

KY Ngiam, W Khor - The Lancet Oncology, 2019 - thelancet.com
Analysis of big data by machine learning offers considerable advantages for assimilation
and evaluation of large amounts of complex health-care data. However, to effectively use …

[HTML][HTML] Efficacy and safety of tocilizumab in COVID-19 patients: a living systematic review and meta-analysis

IM Tleyjeh, Z Kashour, M Damlaj, M Riaz… - Clinical Microbiology …, 2021 - Elsevier
Objectives Cytokine release syndrome with elevated interleukin-6 (IL-6) levels is associated
with multiorgan damage and death in severe coronavirus disease 2019 (COVID-19). Our …

Emulation of randomized clinical trials with nonrandomized database analyses: results of 32 clinical trials

SV Wang, S Schneeweiss, JM Franklin, RJ Desai… - Jama, 2023 - jamanetwork.com
Importance Nonrandomized studies using insurance claims databases can be analyzed to
produce real-world evidence on the effectiveness of medical products. Given the lack of …

European Resuscitation Council Guidelines 2021: Ethics of resuscitation and end of life decisions

SD Mentzelopoulos, K Couper, P Van de Voorde… - Resuscitation, 2021 - Elsevier
Abstract These European Resuscitation Council Ethics guidelines provide evidence-based
recommendations for the ethical, routine practice of resuscitation and end-of-life care of …

Interpretation and impact of real-world clinical data for the practicing clinician

L Blonde, K Khunti, SB Harris, C Meizinger… - Advances in …, 2018 - Springer
Real-world studies have become increasingly important in providing evidence of treatment
effectiveness in clinical practice. While randomized clinical trials (RCTs) are the “gold …

Sample size estimation in clinical research: from randomized controlled trials to observational studies

X Wang, X Ji - Chest, 2020 - Elsevier
Sample size determination is an essential step in planning a clinical study. It is critical to
understand that different study designs need different methods of sample size estimation …

Closing the gap between open source and commercial large language models for medical evidence summarization

G Zhang, Q **, Y Zhou, S Wang, B Idnay, Y Luo… - NPJ digital …, 2024 - nature.com
Large language models (LLMs) hold great promise in summarizing medical evidence. Most
recent studies focus on the application of proprietary LLMs. Using proprietary LLMs …

Outcomes of 3,737 COVID-19 patients treated with hydroxychloroquine/azithromycin and other regimens in Marseille, France: A retrospective analysis

JC Lagier, M Million, P Gautret, P Colson… - Travel medicine and …, 2020 - Elsevier
Background In our institute in Marseille, France, we initiated early and massive screening for
coronavirus disease 2019 (COVID-19). Hospitalization and early treatment with …

Understanding and misunderstanding randomized controlled trials

A Deaton, N Cartwright - Social science & medicine, 2018 - Elsevier
Abstract Randomized Controlled Trials (RCTs) are increasingly popular in the social
sciences, not only in medicine. We argue that the lay public, and sometimes researchers, put …

Evidence for health decision making—beyond randomized, controlled trials

TR Frieden - New England Journal of Medicine, 2017 - Mass Medical Soc
Evidence for Health Decision Making — Beyond Randomized, Controlled Trials | New England
Journal of Medicine Skip to main content The New England Journal of Medicine homepage …