Developing a machine learning based prognostic model and a supporting web-based application for predicting the possibility of early diabetes and diabetic kidney disease
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
Hoofdauteurs: | Amin, M.M. Shahriar, Gomes, Partho Mark, Gomes, Jui Philomina, Tasneem, Faiza |
---|---|
Andere auteurs: | Islam, Md. Saiful |
Formaat: | Thesis |
Taal: | English |
Gepubliceerd in: |
Brac University
2021
|
Onderwerpen: | |
Online toegang: | http://hdl.handle.net/10361/14964 |
Gelijkaardige items
-
In-hospital outcome of Diabetes patients with Chronic Kidney Disease
door: Kabir, Sabrina
Gepubliceerd in: (2021) -
Diabetes mellitus : a handbook for professionals /
door: Mahtab, Hajera
Gepubliceerd in: (2007) -
A novel and superior approach to diabetic management: utilization of a fuzzy-logic based system for precision insulin dosing in type 2 diabetes patients
door: Orni, Proma Roy
Gepubliceerd in: (2018) -
Diabetic retinopathy detection using machine learning
door: Maliha, Maisha, et al.
Gepubliceerd in: (2018) -
A review on classes of anti diabetic drugs and synthetic methods to access them: classical and modern approaches
door: Shahriyar, Md. Sakif
Gepubliceerd in: (2024)