A Critical Review of Data Mining Techniques Used for the Management of Sickle Cell Disease-Reference-Cited by-同舟云学术

A Critical Review of Data Mining Techniques Used for the Management of Sickle Cell Disease

Published:2020-06-22 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 12th International Conference on Computer Modeling and Simulation
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Author:

Alfaleh Aljawharah¹,Gollapalli Mohammed²

Affiliation:

1. Department of Computer Science, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia

2. Department of Computer Information Systems, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia

Publisher

ACM

Reference30 articles.

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3. Clinical and laboratory predictors of frequency of painful crises among sickle cell anaemia patients in nigeria;Ugwu A. O.;Journal of Clinical and Diagnostic Research: JCDR, 11(6), EC22-EC25. doi,2017

4. East mediterranean region sickle cell disease mortality trial: Retrospective multicenter cohort analysis of 735 patients;Karacaoglu P. K.;Annals of Hematology,2016

5. Morbidity and mortality of sickle cell disease patients starting intermittent haemodialysis: A comparative cohort study with non' sickle dialysis patients;Nielsen L.;British Journal of Haematology,2016

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