Determining fatal heart failure risks in patients diagnosed with chronic kidney disease: a machine learning approach
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.
المؤلفون الرئيسيون: | Haque, Adiba, Kabir, Anika Nahian Binte, Islam, Maisha, Monjur, Mayesha |
---|---|
مؤلفون آخرون: | Rhaman, Md. Khalilur |
التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
Brac University
2022
|
الموضوعات: | |
الوصول للمادة أونلاين: | http://hdl.handle.net/10361/17028 |
مواد مشابهة
-
In-hospital outcome of Diabetes patients with Chronic Kidney Disease
بواسطة: Kabir, Sabrina
منشور في: (2021) -
Prevalence of chronic kidney disease in South Asia: A systematic review
بواسطة: Hasan, Mehedi, وآخرون
منشور في: (2022) -
Global, regional, and national burden of chronic kidney disease, 1990–2017: A systematic analysis for the Global Burden of Disease Study 2017
بواسطة: GBD Chronic Kidney Disease Collaboration
منشور في: (2022) -
Characterization and analysis of the major risk factors of the Kidney Patients of Bangladesh: a retrospective study
بواسطة: Rahman, Mahmud-Ur
منشور في: (2018) -
Chronic kidney disease detection using ensemble classi ers and feature set reduction
بواسطة: Shawan, Naveed Rahman, وآخرون
منشور في: (2019)