Developing a machine learning based prognostic model and a supporting web-based application for predicting the possibility of early diabetes and diabetic kidney disease

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.

Xehetasun bibliografikoak
Egile Nagusiak:	Amin, M.M. Shahriar, Gomes, Partho Mark, Gomes, Jui Philomina, Tasneem, Faiza
Beste egile batzuk:	Islam, Md. Saiful
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2021
Gaiak:	Early Diabetes Prediction Diabetes Kidney Disease Prediction Machine Learning Diabetes GBDT Bioinformatics Machine learning.
Sarrera elektronikoa:	http://hdl.handle.net/10361/14964

Antzeko izenburuak

In-hospital outcome of Diabetes patients with Chronic Kidney Disease
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A novel and superior approach to diabetic management: utilization of a fuzzy-logic based system for precision insulin dosing in type 2 diabetes patients
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A review on classes of anti diabetic drugs and synthetic methods to access them: classical and modern approaches
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Ethnic predisposition of diabetes mellitus in the patients with previous history of gestational diabetes mellitus: A review
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A review on diabetic neuropathy and development of sustained release tablet containing ‘Epalrestat’
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Determination of synthetic drugs as adulterant in herbal anti-diabetic medicines by HPLC
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A comprehensive look into the association of diabetes with COVID- 19
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A review on the effectiveness of oral insulin in type I and type II Diabetes mellitus
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Double trouble: prevalence and factors associated with tuberculosis and diabetes comorbidity in Bangladesh
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Bacteriology of diabetic foot ulcers and their antibiotic resistance ability
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Biosimilar insulins: a potential option in the treatment of Diabetes
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A review of prevalence, complications, risk factors, knowledge assessment, selfmanagement, consciousness and treatment of diabetes mellitus in Bangladesh
nork: Chowdhury, Wasifuzzaman
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Diabetic retinopathy detection using image-processing
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Argitaratua: (2016)

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Argitaratua: (2024)

A review: natural polymer based hydrogel wound dressings in the wound healing of diabetics’ patients
nork: Proma, Manjila Saliha
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Prevalence of epidemiological influence, risk factors of type-2 Diabetes Mellitus and analysis of hypertension as a complication among the relatively newly diagnosed patients from BIRDEM hospital
nork: Chowdhury, Ishtiak Ahmed
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Psychometric validation of diabetes distress scale in Bangladeshi population
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Association of household wealth and education level with hypertension and diabetes among adults in Bangladesh: A propensity score-based analysis
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A study of using fuzzy logic based system for adaptation of precise insulin dosage for type II diabetes patients
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Nutri rich diabetic biscuits: evaluating launching communication activities
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A survey on the potential awareness for the delivery of insulin using transdermal microneedle array
nork: Mahmood, Anika
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Contribution of multidisciplinary healthcare professionals in the management of gestational diabetes mellitus: case study on selected hospitals in Dhaka
nork: Modasser, Khadiza Binta
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Use of machine learning and weather predictions to bridge the gap between consumer demands and the market requirements of food crops
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A review on the progress of stem cell therapy as a treatment for Diabetes mellitus
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Machine learning as an indicator for breast cancer prediction
nork: Shadman, Tahsin Mohammed, et al.
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Chronic kidney disease detection using ensemble classi ers and feature set reduction
nork: Shawan, Naveed Rahman, et al.
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Antidiabetic properties of Moringa oleifera: a review
nork: Mamun, Abdull-Al
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Novo Nordisk Ltd. (pharmaceutical industry)
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Characterization and analysis of the major risk factors of the Kidney Patients of Bangladesh: a retrospective study
nork: Rahman, Mahmud-Ur
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