Deciphering Chronic Kidney Disease Diagnosis: A Comparative Exploration of Computational Approaches with LIME and SHAP Interpretation

Bibliographic Details
Title: Deciphering Chronic Kidney Disease Diagnosis: A Comparative Exploration of Computational Approaches with LIME and SHAP Interpretation
Authors: Harshini, J. P.Aff18, Raksha, K.Aff18, Kodipalli, AshwiniAff19, Rao, TrupthiAff19, Suman, Jami VenkataAff20
Contributors: Akan, Ozgur, Editorial Board MemberAff1, Bellavista, Paolo, Editorial Board MemberAff2, Cao, Jiannong, Editorial Board MemberAff3, Coulson, Geoffrey, Editorial Board MemberAff4, Dressler, Falko, Editorial Board MemberAff5, Ferrari, Domenico, Editorial Board MemberAff6, Gerla, Mario, Editorial Board MemberAff7, Kobayashi, Hisashi, Editorial Board MemberAff8, Palazzo, Sergio, Editorial Board MemberAff9, Sahni, Sartaj, Editorial Board MemberAff10, Shen, Xuemin, Editorial Board MemberAff11, Stan, Mircea, Editorial Board MemberAff12, Jia, Xiaohua, Editorial Board MemberAff13, Zomaya, Albert Y., Editorial Board MemberAff14, Koganti, Krishna Kishore, editorAff15, E., Sreenivasa Rao, editorAff16, Gupta, Nishu, editorAff17
Source: Advanced Technologies in Electronics, Communications and Signal Processing : First EAI International Conference, ICATECS 2024, Hyderabad, India, July 26–27, 2024, Proceedings, Part II. 620:364-374
Database: Springer Nature eBooks
Description
ISBN:9783031942822
9783031942839
DOI:10.1007/978-3-031-94283-9_31