A Machine Learning Model to Successfully Predict Future Diagnosis of Chronic Myelogenous Leukemia With Retrospective Electronic Health Records Data
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A Machine Learning Model to Successfully Predict Future Diagnosis of Chronic Myelogenous Leukemia With Retrospective Electronic Health Records Data
Authors
Keywords
-
Journal
AMERICAN JOURNAL OF CLINICAL PATHOLOGY
Volume -, Issue -, Pages -
Publisher
Oxford University Press (OUP)
Online
2021-04-20
DOI
10.1093/ajcp/aqab086
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Prospects for achieving treatment‐free remission in chronic myeloid leukaemia
- (2020) Giuseppe Saglio et al. BRITISH JOURNAL OF HAEMATOLOGY
- European LeukemiaNet 2020 recommendations for treating chronic myeloid leukemia
- (2020) A. Hochhaus et al. LEUKEMIA
- Chronic myeloid leukemia: 2020 update on diagnosis, therapy and monitoring
- (2020) Elias Jabbour et al. AMERICAN JOURNAL OF HEMATOLOGY
- CML - Not only BCR-ABL1 matters
- (2020) Jenny Rinke et al. BEST PRACTICE & RESEARCH CLINICAL HAEMATOLOGY
- Cancer statistics, 2019
- (2019) Rebecca L. Siegel et al. CA-A CANCER JOURNAL FOR CLINICIANS
- A 20-Year Evaluation of LOINC in the United States' Largest Integrated Health System
- (2019) Ankur Bhargava et al. ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE
- A simple screening method for the diagnosis of chronic myeloid leukemia using the parameters of a complete blood count and differentials
- (2018) Atsushi Ogasawara et al. CLINICA CHIMICA ACTA
- Systematic review of pre-clinical chronic myeloid leukaemia
- (2018) Jew Win Kuan et al. INTERNATIONAL JOURNAL OF HEMATOLOGY
- Chronic Myeloid Leukemia, Version 1.2019, NCCN Clinical Practice Guidelines in Oncology
- (2018) Jerald P. Radich et al. Journal of the National Comprehensive Cancer Network
- LabRS: A Rosetta stone for retrospective standardization of clinical laboratory test results
- (2017) Ronald George Hauser et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Unit conversions between LOINC codes
- (2017) Ronald G Hauser et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- The criteria to suspect chronic myeloid leukemia using absolute basophil counts in peripheral blood
- (2015) Akiko Masuda et al. INTERNATIONAL JOURNAL OF HEMATOLOGY
- Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement
- (2015) G. S. Collins et al. BMJ-British Medical Journal
- Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement
- (2015) G. S. Collins et al. BMJ-British Medical Journal
- Is the Blood Basophil Count Sufficiently Precise, Accurate, and Specific?
- (2011) Erik K. Amundsen et al. AMERICAN JOURNAL OF CLINICAL PATHOLOGY
- pROC: an open-source package for R and S+ to analyze and compare ROC curves
- (2011) Xavier Robin et al. BMC BIOINFORMATICS
- Chronic myeloid leukemia (CML) with P190BCR-ABL: analysis of characteristics, outcomes, and prognostic significance
- (2009) D. Verma et al. BLOOD
- Observational Research, Randomised Trials, and Two Views of Medical Science
- (2008) Jan P Vandenbroucke PLOS MEDICINE
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now