A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health data
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health data
Authors
Keywords
COVID-19, Data harmonization, Data quality control, Distributed data network, Machine learning, Risk prediction
Journal
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
Volume 211, Issue -, Pages 106394
Publisher
Elsevier BV
Online
2021-09-06
DOI
10.1016/j.cmpb.2021.106394
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Comparative Effectiveness of Famotidine in Hospitalized COVID-19 Patients
- (2021) Azza Shoaibi et al. AMERICAN JOURNAL OF GASTROENTEROLOGY
- COVID-19 in patients with autoimmune diseases: characteristics and outcomes in a multinational network of cohorts across three countries
- (2021) Eng Hooi Tan et al. RHEUMATOLOGY
- Use of repurposed and adjuvant drugs in hospital patients with covid-19: multinational network cohort study
- (2021) Albert Prats-Uribe et al. BMJ-British Medical Journal
- Implementation of the COVID-19 Vulnerability Index Across an International Network of Health Care Data Sets: Collaborative External Validation Study
- (2021) Jenna M Reps et al. JMIR Medical Informatics
- Thirty-Day Outcomes of Children and Adolescents With COVID-19: An International Experience
- (2021) Talita Duarte-Salles et al. PEDIATRICS
- Characterising the background incidence rates of adverse events of special interest for covid-19 vaccines in eight countries: multinational network cohort study
- (2021) Xintong Li et al. BMJ-British Medical Journal
- Feasibility and evaluation of a large-scale external validation approach for patient-level prediction in an international data network: validation of models predicting stroke in female patients newly diagnosed with atrial fibrillation
- (2020) Jenna M. Reps et al. BMC Medical Research Methodology
- Association of radiologic findings with mortality of patients infected with 2019 novel coronavirus in Wuhan, China
- (2020) Mingli Yuan et al. PLoS One
- Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
- (2020) Laure Wynants et al. BMJ-British Medical Journal
- Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study
- (2020) Edward Burn et al. Nature Communications
- Risk of depression, suicide and psychosis with hydroxychloroquine treatment for rheumatoid arthritis: a multinational network cohort study
- (2020) Jennifer C E Lane et al. RHEUMATOLOGY
- Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare data
- (2018) Jenna M Reps et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD): The TRIPOD Statement
- (2015) G. S. Collins et al. CIRCULATION
- Sample size considerations for the external validation of a multivariable prognostic model: a resampling study
- (2015) Gary S. Collins et al. STATISTICS IN MEDICINE
- Massive Parallelization of Serial Inference Algorithms for a Complex Generalized Linear Model
- (2013) Marc A. Suchard et al. ACM Transactions on Modeling and Computer Simulation
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started