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.
मुख्य लेखकों: | Haque, Adiba, Kabir, Anika Nahian Binte, Islam, Maisha, Monjur, Mayesha |
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अन्य लेखक: | Rhaman, Md. Khalilur |
स्वरूप: | थीसिस |
भाषा: | English |
प्रकाशित: |
Brac University
2022
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विषय: | |
ऑनलाइन पहुंच: | http://hdl.handle.net/10361/17028 |
समान संसाधन
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In-hospital outcome of Diabetes patients with Chronic Kidney Disease
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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
द्वारा: GBD Chronic Kidney Disease Collaboration
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Characterization and analysis of the major risk factors of the Kidney Patients of Bangladesh: a retrospective study
द्वारा: Rahman, Mahmud-Ur
प्रकाशित: (2018) -
Chronic kidney disease detection using ensemble classi ers and feature set reduction
द्वारा: Shawan, Naveed Rahman, और अन्य
प्रकाशित: (2019)