Exploring the antecedents of the quality of life of patients with sickle cell disease: using a knowledge discovery and data mining process model-based framework-Reference-Cited by-同舟云学术

Exploring the antecedents of the quality of life of patients with sickle cell disease: using a knowledge discovery and data mining process model-based framework

Published:2016-03 Issue:1 Volume:5 Page:52-65
ISSN:2047-6965
Container-title:Health Systems
language:en
Short-container-title:Health Systems

Author:

Mansingh Gunjan¹,Osei-Bryson Kweku-Muata²,Asnani Monika³

Affiliation:

1. Department of ComputingThe University of the West Indies Kingston Jamaica

2. School of Business, Virginia Commonwealth University Richmond U.S.A.

3. Tropical Medicine Research Institute – Sickle Cell Unit, The University of the West Indies Kingston Jamaica

Publisher

Informa UK Limited

Subject

Health Informatics,Health Policy

Link

http://link.springer.com/content/pdf/10.1057/hs.2015.3.pdf

Reference29 articles.

1. Predictive data mining in clinical medicine: Current issues and guidelines

2. Toward intelligent assistance for a data mining process: an ontology-based approach for cost-sensitive classification

3. A knowledge discovery approach to diagnosing myocardial perfusion

Cited by 4 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 Critical Review of Data Mining Techniques Used for the Management of Sickle Cell Disease;Proceedings of the 12th International Conference on Computer Modeling and Simulation;2020-06-22

2. Predicting Liver Transplantation Outcomes Through Data Analytics;Data Science: From Research to Application;2020

3. Data Mining Process Maturity – Result of Empirical Research;Problemy Zarządzania - Management Issues;2019-05-06

4. Discovering Knowledge Nuggets in Financial Data: The Case of a Financial Services Institution;Advances in Intelligent Systems and Computing;2017