Related references
Note: Only part of the references are listed.Deep Convolutional Neural Networks Implementation for the Analysis of Urine Culture
David J. Alouani et al.
CLINICAL CHEMISTRY (2022)
How Can We Ensure Reproducibility and Clinical Translation of Machine Learning Applications in Laboratory Medicine?
Shannon Haymond et al.
CLINICAL CHEMISTRY (2022)
Open tools for quantitative anonymization of tabular phenotype data: literature review
Anna C. Haber et al.
BRIEFINGS IN BIOINFORMATICS (2022)
Real-world evaluation of rapid and laboratory-free COVID-19 triage for emergency care: external validation and pilot deployment of artificial intelligence driven screening
Andrew A. S. Soltan et al.
LANCET DIGITAL HEALTH (2022)
Reproducible Research: A Retrospective
Roger D. Peng et al.
ANNUAL REVIEW OF PUBLIC HEALTH, VOL 42, 2021 (2021)
Use of Racial and Ethnic Categories in Medical Testing and Diagnosis: Primum Non Nocere
Jay S. Kaufman et al.
CLINICAL CHEMISTRY (2021)
Laboratory Demand Management Strategies-An Overview
Cornelia Mrazek et al.
DIAGNOSTICS (2021)
Harmonization and Standardization: Where Are We Now?
W. Greg Miller et al.
JOURNAL OF APPLIED LABORATORY MEDICINE (2021)
Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test
Andrew A. S. Soltan et al.
LANCET DIGITAL HEALTH (2021)
Calculating the sample size required for developing a clinical prediction model
Richard D. Riley et al.
BMJ-BRITISH MEDICAL JOURNAL (2020)
MINIMAR (MINimum Information for Medical Al Reporting): Developing reporting standards for artificial intelligence in health care
Tina Hernandez-Boussard et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2020)
Recommendations for Reporting Machine Learning Analyses in Clinical Research
Laura M. Stevens et al.
CIRCULATION-CARDIOVASCULAR QUALITY AND OUTCOMES (2020)
Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist
Beau Norgeot et al.
NATURE MEDICINE (2020)
Dissecting racial bias in an algorithm used to manage the health of populations
Ziad Obermeyer et al.
SCIENCE (2019)
Societal Issues Concerning the Application of Artificial Intelligence in Medicine
Alfredo Vellido
KIDNEY DISEASES (2019)
Machine Learning Algorithms for Objective Remission and Clinical Outcomes with Thiopurines
Akbar K. Waljee et al.
JOURNAL OF CROHNS & COLITIS (2017)
Clinical chemistry in higher dimensions: Machine-learning and enhanced prediction from routine clinical chemistry data
Alice Richardson et al.
CLINICAL BIOCHEMISTRY (2016)
DEMOCRATIC DATABASES: SCIENCE ON GITHUB
Jeffrey Perkel
NATURE (2016)
Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement
Gary S. Collins et al.
ANNALS OF INTERNAL MEDICINE (2015)
STARD 2015: An Updated List of Essential Items for Reporting Diagnostic Accuracy Studies
Patrick M. Bossuyt et al.
CLINICAL CHEMISTRY (2015)
Validation of DNA Methylation to Predict Outcome in Acute Myeloid Leukemia by Use of xMELP
Gerald B. W. Wertheim et al.
CLINICAL CHEMISTRY (2015)
Multi-column deep neural network for traffic sign classification
Dan Ciresan et al.
NEURAL NETWORKS (2012)
Gene expression profiling predicts clinical outcome of breast cancer
LJ van't Veer et al.
NATURE (2002)
Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling
AA Alizadeh et al.
NATURE (2000)