Chronic kidney disease detection using ensemble classi ers and feature set reduction
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.
Hoofdauteurs: | Shawan, Naveed Rahman, Mehrab, Syed Samiul Alam, Ahmed, Fardeen, Hasmi, Mohammad Sharatul |
---|---|
Andere auteurs: | Arif, Hossain |
Formaat: | Thesis |
Taal: | English |
Gepubliceerd in: |
BRAC University
2019
|
Onderwerpen: | |
Online toegang: | http://hdl.handle.net/10361/12255 |
Gelijkaardige items
-
Determining fatal heart failure risks in patients diagnosed with chronic kidney disease: a machine learning approach
door: Haque, Adiba, et al.
Gepubliceerd in: (2022) -
Performance analysis of machine learning classi ers for detecting PE malware
door: Azmee, ABM.Adnan, et al.
Gepubliceerd in: (2020) -
Developing a machine learning based prognostic model and a supporting web-based application for predicting the possibility of early diabetes and diabetic kidney disease
door: Amin, M.M. Shahriar, et al.
Gepubliceerd in: (2021) -
Early detection of chronic kidney disease using machine learning
door: Abrar, Tahmid, et al.
Gepubliceerd in: (2019) -
Emotion analysis using machine learning model and deep learning model on DEAP dataset
door: Hasan, Anita, et al.
Gepubliceerd in: (2022)