A Novel Enhanced Random Forest for Medical Data Classification using Correlation Pearson and Best Number of Trees.

Ilhem Tarchoune

Ilhem Tarchoune Akila Djebbar Hayet Farida Merouani Harfi Rania A Novel Enhanced Random Forest for Medical Data Classification using Correlation Pearson and Best Number of Trees. 57-68 2024 18 J. Comput. Sci. Eng. 1 https://doi.org/10.5626/jcse.2024.18.1.57 db/journals/jcse/jcse18.html#TarchouneDMR24 streams/journals/jcse

Ilhem Tarchoune Akila Djebbar Hayet Farida Merouani-Djellali Djamel Zenakhra 3FS-CBR-IRF: improving case retrieval for case-based reasoning with three feature selection and improved random forest. 72939-72973 2024 September 83 Multim. Tools Appl. 29 https://doi.org/10.1007/s11042-024-18360-3 db/journals/mta/mta83.html#TarchouneDMZ24 streams/journals/mta

Ilhem Tarchoune Akila Djebbar Hayet Farida Merouani Doha Hadji An Improved Random Forest Based on Feature Selection and Feature Weighting for Case Retrieval in CBR Systems: Application to Medical Data. 1-20 2022 10 Int. J. Softw. Innov. 1 https://doi.org/10.4018/ijsi.293265 https://www.wikidata.org/entity/Q111897237 db/journals/ijsinnov/ijsinnov10.html#TarchouneDMH22

Akila Djebbar Doha Hadji Hayet Farida MerouaniHayet Farida Merouani-Djellali Harfi Rania Djamel Zenakhra