An Application of Using Support Vector Machine Based on Classification Technique for Predicting Medical Data Sets-Reference-Cited by-同舟云学术

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An Application of Using Support Vector Machine Based on Classification Technique for Predicting Medical Data Sets

Published:2019 Issue: Volume: Page:580-591
ISSN:0302-9743
Container-title:Intelligent Computing Theories and Application
language:
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Author:

Khalaf Mohammed,Hussain Abir Jaafar,Alafandi Omar,Al-Jumeily Dhiya,Alloghani Mohamed,Alsaadi Mahmood,Dawood Omar A.,Abd Dhafar Hamed

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-26969-2_55

Reference28 articles.

1. Charache, S., et al.: Effect of hydroxyurea on the frequency of painful crises in sickle cell anemia. N. Engl. J. Med. 332(20), 1317–1322 (1995)

2. Lecture Notes in Computer Science;M Khalaf,2015

3. Zaidan, A., et al.: A review on smartphone skin cancer diagnosis apps in evaluation and benchmarking: coherent taxonomy, open issues and recommendation pathway solution. Health Technol. 8(4), 223–238 (2018)

4. Adams, H.: Medical Informatics: Computer Applications in Health Care. JAMA 265(4), 522 (1991)

5. Khalaf, M., et al.: A data science methodology based on machine learning algorithms for flood severity prediction. In: 2018 IEEE Congress on Evolutionary Computation (CEC), pp. 1–8. IEEE (2018)

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