Support System for Chronic Kidney Disease Prediction Using Fuzzy Logic and Feature Selection-Reference-Cited by-同舟云学术

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Support System for Chronic Kidney Disease Prediction Using Fuzzy Logic and Feature Selection

Published:2022-11-25 Issue: Volume: Page:445-455
ISSN:2367-3370
Container-title:Advances in Data and Information Sciences
language:
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Author:

Janani D.,Vijaykumar V. R.,Ramakrishnan S.,Akil Akthar S.,Sudharsan S.,Sangameshwaran S.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-5292-0_41

Reference8 articles.

1. Abbas R et al (2018) Characterization of fetal trouble and hypoxia utilizing AI draws near. In: Proceedings of the international conference on insightful computing, pp 767–776

2. Alloghani M et al (2018) Utilizations of AI strategies for programming learning and early expectation of understudies’ exhibition. In: Proceedings of the international conference delicate computing in data science, pp 246–258

3. Hossain MM et al (2019) Mechanical anisotropy evaluation in kidney cortex utilizing ARFI top relocation: preclinical approval and pilot in vivo clinical outcomes in kidney allografts. IEEE Trans Ultrason Ferr 66(3):551–562

4. Hodneland E et al (2019) In vivo identification of persistent kidney illness utilizing tissue distortion fields from dynamic MR imaging. IEEE Trans BioMed Eng 66(6):1779–1790

5. Hanedan F, Orooji A, Sanadgol H (eds) (2020) Clinical decision support system to predict chronic kidney disease: a fuzzy expert system approach

Cited by 1 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. Development of Supervised Algorithm for Predicting Chronic Kidney Disease;2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT);2024-02-09

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