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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Amin, M.M. Shahriar, Gomes, Partho Mark, Gomes, Jui Philomina, Tasneem, Faiza
Άλλοι συγγραφείς:	Islam, Md. Saiful
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	Brac University 2021
Θέματα:	Early Diabetes Prediction Diabetes Kidney Disease Prediction Machine Learning Diabetes GBDT Bioinformatics Machine learning.
Διαθέσιμο Online:	http://hdl.handle.net/10361/14964

Παρόμοια τεκμήρια

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A review: natural polymer based hydrogel wound dressings in the wound healing of diabetics’ patients
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A survey on the potential awareness for the delivery of insulin using transdermal microneedle array
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Contribution of multidisciplinary healthcare professionals in the management of gestational diabetes mellitus: case study on selected hospitals in Dhaka
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