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Mashup Score: 0Preparing Physicians for the Clinical Algorithm Era | NEJM - 9 month(s) ago
Perspective from The New England Journal of Medicine — Preparing Physicians for the Clinical Algorithm Era
Source: www.nejm.orgCategories: Healthcare Professionals, Latest HeadlinesTweet
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Mashup Score: 16Program Planner - 1 year(s) ago
Program Planner One fine body�
Source: www.abstractsonline.comCategories: Latest Headlines, PulmonologyTweet-
Want to learn more about #Bayesian methods and #adaptive trials? Join us for @ecgoligher's talk today at #ATS2023 Time: 2:15 pm Location: West Salon G-I (Street Level) @atscommunity https://t.co/B8LyEfVO4J https://t.co/YIoCAZm1OE
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Mashup Score: 1
This Special Communication describes a Bayesian reanalysis of a randomized clinical trial comparing the effects on mortality of venovenous extracorporeal membrane oxygenation (ECMO) vs conventional mechanical ventilation among patients with severe acute respiratory distress syndrome, performed…
Source: jamanetwork.comCategories: Critical Care, Latest HeadlinesTweet-
#ECMO evidence was reassessed in a post-hoc #Bayesian analysis, which incorporated prior ECMO data & calculated the probability of benefit. This contrasts w/ a frequentist approach, which provides a binary result (does ECMO ⬇️ mortality by 20%? Yes/no) https://t.co/BG4W5oGdHr https://t.co/tQ5Oxv2r66
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Mashup Score: 4Continuous Bayesian Variant Interpretation Accounts for Incomplete Penetrance among Mendelian Cardiac Channelopathies - 1 year(s) ago
The congenital Long QT Syndrome (LQTS) and Brugada Syndrome (BrS) are Mendelian autosomal dominant diseases which frequently precipitate fatal cardiac arrhythmias. Incomplete penetrance is a barrier to clinical management of heterozygotes harboring variants in the major implicated disease genes KCNQ1, KCNH2, and SCN5A. We apply and evaluate a Bayesian penetrance estimation strategy that accounts…
Source: Genetics in MedicineCategories: Genetics, Latest HeadlinesTweet
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Mashup Score: 1
Background Adolescent obesity has been reported to have deleterious consequences but is considered a promising modifiable risk factor. We aimed to investigate the optimal intervention for obese and overweight children and adolescents. Methods We searched the Medline (PubMed, 1946–December 2020), PsycINFO (Ovid, 1927–December 2020), Cochrane library (1966–December 2020), Web of Science…
Source: BioMed CentralCategories: General Medicine Journals and Societies, Latest HeadlinesTweet
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Mashup Score: 2
PPPY rates were typically lower with FF/UMEC/VI versus FF/VI or UMEC/VI.
Source: PubMedCategories: Latest Headlines, PulmonologyTweet
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Mashup Score: 6Target temperature management following cardiac arrest: a systematic review and Bayesian meta-analysis - Critical Care - 2 year(s) ago
Background Temperature control with target temperature management (TTM) after cardiac arrest has been endorsed by expert societies and adopted in international clinical practice guidelines but recent evidence challenges the use of hypothermic TTM. Methods Systematic review and Bayesian meta-analysis of clinical trials on adult survivors from cardiac arrest undergoing TTM for at least 12 h…
Source: BioMed CentralCategories: Critical Care, Latest HeadlinesTweet
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Mashup Score: 2
The false positives aren’t mentioned in the brochures for these blood screenings, which are sold by some of the biggest labs in the country.
Source: www.nytimes.comCategories: Critical Care, Latest HeadlinesTweet
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Mashup Score: 4A Bayesian network approach incorporating imputation of missing data enables exploratory analysis of complex causal biological relationships - 2 year(s) ago
Author summary Data analysis using Bayesian networks can help identify possible causal relationships between measured biological variables. Here we propose two improvements to an existing method for Bayesian network analysis. Our first improvement relates to the treatment of missing data. When there is missing data, the standard approach is to remove every individual with any missing data before…
Source: journals.plos.orgCategories: Genetics, Latest HeadlinesTweet
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Mashup Score: 0A Bayesian network approach incorporating imputation of missing data enables exploratory analysis of complex causal biological relationships - 2 year(s) ago
Author summary Data analysis using Bayesian networks can help identify possible causal relationships between measured biological variables. Here we propose two improvements to an existing method for Bayesian network analysis. Our first improvement relates to the treatment of missing data. When there is missing data, the standard approach is to remove every individual with any missing data before…
Source: journals.plos.orgCategories: Genetics, Latest HeadlinesTweet
Preparing #Physicians for the #Clinical Algorithm Era | NEJM https://t.co/m5tn8CKhgA #CDS #Bayesian #USMLE #ACGME #EHR #MedEd #Diagnosis #Pathophysiology https://t.co/kKwSMUi4kC