Mucopolysaccharidosis type II detection by Naïve Bayes Classifier: An example of patient classification for a rare disease using electronic medical records from the Canadian Primary Care Sentinel Surveillance Network-Reference-Cited by-同舟云学术

Mucopolysaccharidosis type II detection by Naïve Bayes Classifier: An example of patient classification for a rare disease using electronic medical records from the Canadian Primary Care Sentinel Surveillance Network

Published:2018-12-19 Issue:12 Volume:13 Page:e0209018
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Ehsani-Moghaddam Behrouz^ORCID,Queenan John A.^ORCID,MacKenzie Jennifer,Birtwhistle Richard V.^ORCID

Funder

Shire Canada

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference39 articles.

1. Supporting cutting-edge rare disease research. Canadian Institutes of Health Research. 2018; http://www.cihr-irsc.gc.ca/e/49695.html.

2. Europian Organization for Rare Diseases. Rare Diseases: Understanding This Public Health Priority. 2005; https://www.eurordis.org/IMG/pdf/princeps_document-EN.pdf.

3. U.S. Department of Health and Human Services. Orphan Drug Act. 2018; https://www.fda.gov/RegulatoryInformation/LawsEnforcedbyFDA/SignificantAmendmentstotheFDCAct/OrphanDrugAct/default.htm

4. Canada’s Rare Disease Strategy. The Canadian Organization for Rare Disorders. 2017; http://www.raredisorders.ca//content/uploads/CORD_Canada_RD_Strategy_22May15.pdf

5. The defect in the Hunter syndrome: deficiency of sulfoiduronate sulfatase;G Bach;Proc Natl Acad Sci USA,1973

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Novel Provider Education Module to Enhance Detection of Alpha-1 Antitrypsin Deficiency;ATS Scholar;2023-12

2. Reducing diagnostic delays in Acute Hepatic Porphyria using electronic health records data and machine learning: a multicenter development and validation study;2023-08-31

3. The utilisation of primary health care system concepts positively impacts the assistance of patients with rare diseases despite limited knowledge and experience by health care professionals: A qualitative synopsis of the evidence including approximately 78 000 individuals;Journal of Global Health;2023-08-04

4. A Comparative of Classification Models for Predicting of Heart Diseases;2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG);2023-04-05

5. Learning Disease Causality Knowledge From the Web of Health Data;International Journal on Semantic Web and Information Systems;2022-04-15