Prediction of Acute Myeloid Leukemia Subtypes Based on Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System Approaches-Reference-Cited by-同舟云学术

Prediction of Acute Myeloid Leukemia Subtypes Based on Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System Approaches

Published:2018-08-29 Issue: Volume: Page:427-439
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
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Author:

Roy Etee Kawna,Aditya Subrata Kumar

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-8204-7_43

Reference24 articles.

1. Pouls RK, Shamoon RP, Muhammed NS (2012) Clinical and hematological parameters in adult AML patients: a four year experience at Nanakaly Hospital for blood diseases. Zanco J Med Sci 16:199–203

2. American Cancer Society, https://www.cancer.org/cancer/acute-myeloid-leukemia/detection-diagnosis-staging/how-classified.html . Accessed 18 Apr 2017

3. Negnevitsky M (2011) Artificial intelligence: a guide to intelligent systems. Pearson Education Ltd., England

4. Karabatak M, Ince CM (2009) An expert system for detection of breast cancer based on association rules and neural network. Expert Syst Appl 36:3465–3469

5. Übeyli ED (2007) Implementing automated diagnostic systems for breast cancer detection. Expert Syst Appl 33:1054–1062

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