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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 …
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
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 …
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
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 …
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
Abstract These European Resuscitation Council Ethics guidelines provide evidence-based
recommendations for the ethical, routine practice of resuscitation and end-of-life care of …
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
Real-world studies have become increasingly important in providing evidence of treatment
effectiveness in clinical practice. While randomized clinical trials (RCTs) are the “gold …
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 …
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
Large language models (LLMs) hold great promise in summarizing medical evidence. Most
recent studies focus on the application of proprietary LLMs. Using proprietary LLMs …
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
Background In our institute in Marseille, France, we initiated early and massive screening for
coronavirus disease 2019 (COVID-19). Hospitalization and early treatment with …
coronavirus disease 2019 (COVID-19). Hospitalization and early treatment with …
Understanding and misunderstanding randomized controlled trials
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 …
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 …
Journal of Medicine Skip to main content The New England Journal of Medicine homepage …