Rare Disease Registries Classification and Characterization: A Data Mining Approach-Reference-Cited by-同舟云学术

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Rare Disease Registries Classification and Characterization: A Data Mining Approach

Published:2015 Issue:2 Volume:18 Page:113-122
ISSN:1662-4246
Container-title:Public Health Genomics
language:en
Short-container-title:Public Health Genomics

Author:

Santoro Michele^ORCID,Coi Alessio,Lipucci Di Paola Michele,Bianucci Anna Maria,Gainotti Sabina,Mollo Emanuela,Taruscio Domenica,Vittozzi Luciano,Bianchi Fabrizio

Publisher

S. Karger AG

Subject

Genetics(clinical),Public Health, Environmental and Occupational Health

Cited by 23 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. Exploring the Clinical and Genetic Landscape of Angelman Syndrome: Patient-Reported Insights from an Italian Registry;Journal of Clinical Medicine;2024-06-16

2. Scoping review of the recommendations and guidance for improving the quality of rare disease registries;Orphanet Journal of Rare Diseases;2024-05-06

3. Registries or non-pharmacological observational studies? An operational attempt to draw the line and to provide some suggestions for the ethical evaluation of rare disease registries;ANN I SUPER SANITA;2024

4. Precision medicine in monogenic inflammatory bowel disease: proposed mIBD REPORT standards;Nature Reviews Gastroenterology & Hepatology;2023-10-03

5. Challenges in mapping European rare disease databases, relevant for ML-based screening technologies in terms of organizational, FAIR and legal principles: scoping review;Frontiers in Public Health;2023-09-15

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