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.
| Κύριοι συγγραφείς: | Haque, Adiba, Kabir, Anika Nahian Binte, Islam, Maisha, Monjur, Mayesha |
|---|---|
| Άλλοι συγγραφείς: | Rhaman, Md. Khalilur |
| Μορφή: | Thesis |
| Γλώσσα: | English |
| Έκδοση: |
Brac University
2022
|
| Θέματα: | |
| Διαθέσιμο Online: | http://hdl.handle.net/10361/17028 |
Παρόμοια τεκμήρια
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In-hospital outcome of Diabetes patients with Chronic Kidney Disease
ανά: Kabir, Sabrina
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Prevalence of chronic kidney disease in South Asia: A systematic review
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Global, regional, and national burden of chronic kidney disease, 1990–2017: A systematic analysis for the Global Burden of Disease Study 2017
ανά: GBD Chronic Kidney Disease Collaboration
Έκδοση: (2022) -
Characterization and analysis of the major risk factors of the Kidney Patients of Bangladesh: a retrospective study
ανά: Rahman, Mahmud-Ur
Έκδοση: (2018) -
Chronic kidney disease detection using ensemble classi ers and feature set reduction
ανά: Shawan, Naveed Rahman, κ.ά.
Έκδοση: (2019)