Prediction of diabetes induced complications using different machine learning algorithms

Prediction of diabetes induced complications using different machine learning algorithms

This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.

Podrobná bibliografie
Hlavní autoři:	Rahman, Tahsinur, Farzana, Sheikh Mastura, Khanom, Aniqa Zaida
Další autoři:	Alam, Md. Ashraful
Médium:	Diplomová práce
Jazyk:	English
Vydáno:	BRAC University 2018
Témata:	PCA Diabetes complications missForest SVM Naïve bayes Logistic regression Computers > Intelligence (AI) & Semantics Computers > Machine Theory Mathematical theory of computation
On-line přístup:	http://hdl.handle.net/10361/10945

Podobné jednotky

Predicting subject area interest of a student using naive bayes
Autor: Hossain, Shakib
Vydáno: (2016)

Assistive Guideline of Categorization for Competitive Programming Problems
Autor: Dhrubo, Najmus Sakib, a další
Vydáno: (2021)

Analysis on the effects of wallstreetbets on the stock market
Autor: Hossain, Abir, a další
Vydáno: (2022)

Stock market prediction using ensemble learning
Autor: Rabbani, Rakin Bin, a další
Vydáno: (2021)

Best feature selection and data visualization for breast cancer prediction
Autor: Hemel, Tanjim Ahmed, a další
Vydáno: (2020)

The applications of data mining and machine learning in Bangladesh for disease pattern analysis and prediction
Autor: Mahmud, Mahmudul Hasan
Vydáno: (2021)

Complications in small animal surgery : diagnosis, management, prevention /
Vydáno: (1996)

Diabetes mellitus : a handbook for professionals /
Autor: Mahtab, Hajera
Vydáno: (2007)

Identification of childhood leukemia using deep learning
Autor: Tultul, Farana Naz
Vydáno: (2018)

A hybrid rumor detection model derived from a comparative study of supervised approaches
Autor: Aothoi, Mehzabin Sadat, a další
Vydáno: (2023)

A review of prevalence, complications, risk factors, knowledge assessment, selfmanagement, consciousness and treatment of diabetes mellitus in Bangladesh
Autor: Chowdhury, Wasifuzzaman
Vydáno: (2018)

Heart disease prediction using techniques of classification in machine learning
Autor: Afrose, Sadia, a další
Vydáno: (2021)

Recognizing sentimental emotions in text by using Machine Learning
Autor: Bushra, Tabassum Khan, a další
Vydáno: (2023)

Analyzing data of social media to evaluate customer behavior of companies using sentiment analysis
Autor: Shourin, Bushra, a další
Vydáno: (2018)

Developing a machine learning based prognostic model and a supporting web-based application for predicting the possibility of early diabetes and diabetic kidney disease
Autor: Amin, M.M. Shahriar, a další
Vydáno: (2021)

A novel and superior approach to diabetic management: utilization of a fuzzy-logic based system for precision insulin dosing in type 2 diabetes patients
Autor: Orni, Proma Roy
Vydáno: (2018)

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
Autor: Chowdhury, Ishtiak Ahmed
Vydáno: (2018)

Recognition of and response to neonatal intrapartum-related complications in home-birth settings in Bangladesh
Autor: Vanderende, Kristin E, a další
Vydáno: (2017)

What is relevant in a text document a machine learning based approach
Autor: Mahmud, Abdullah Al, a další
Vydáno: (2021)

A machine learning approach to predict young voter enthusiasm based on non-political factors
Autor: Rahman, Md. Nowroz Junaed, a další
Vydáno: (2021)

Maternal nutrition intervention and maternal complications in 4 districts of Bangladesh: a nested cross-sectional study
Autor: Todd, Catherine S., a další
Vydáno: (2022)

Ethnic predisposition of diabetes mellitus in the patients with previous history of gestational diabetes mellitus: A review
Autor: Gupta, Rajat Das, a další
Vydáno: (2022)

Cervical Cancer Detection from Cervix Image Using Pap smear Imaging through CNN
Autor: Bhuiyan, Mazedul Haque, a další
Vydáno: (2021)

The EM algorithm and extensions /
Autor: McLachlan, Geoffrey J., 1946-
Vydáno: (2008)

Movie recommendation using link prediction
Autor: Dhrubo, Md Alif-uz-zaman, a další
Vydáno: (2023)

Yoga posture recognition using the deep learning process
Autor: Islam, Abidul, a další
Vydáno: (2023)

An effective machine learning approach for sentiment analysis of restaurant reviews
Autor: Karim, Rabita
Vydáno: (2018)

A review on classes of anti diabetic drugs and synthetic methods to access them: classical and modern approaches
Autor: Shahriyar, Md. Sakif
Vydáno: (2024)

A review on diabetic neuropathy and development of sustained release tablet containing ‘Epalrestat’
Autor: Dewan, Marzan
Vydáno: (2019)

Predicting brain age from EEG signals using machine learning and neural network
Autor: Pratanu, Abul Mushfique Muslah, a další
Vydáno: (2023)

A comprehensive look into the association of diabetes with COVID- 19
Autor: Antora, Sabrina Islam
Vydáno: (2023)

Determination of synthetic drugs as adulterant in herbal anti-diabetic medicines by HPLC
Autor: Chowdhury, Anika Tasnim
Vydáno: (2018)

Speech emotion detection using supervised, unsupervised and feature selection algorithms
Autor: Rifat, Abu Nuraiya Mahfuza Yesmin, a další
Vydáno: (2019)

A review on the effectiveness of oral insulin in type I and type II Diabetes mellitus
Autor: Nahar, Nafiun
Vydáno: (2021)

Demystifying machine learning models for IOT attack detection with explainable AI
Autor: Muna, Rabeya Khatun, a další
Vydáno: (2021)

A review on drug repurposing for diabetes epidemic
Autor: Lamia, Sadia Raisa
Vydáno: (2022)

Bacteriology of diabetic foot ulcers and their antibiotic resistance ability
Autor: Baral, Poulomi, a další
Vydáno: (2023)

Flight fare prediction using machine learning
Autor: Noyon, Md. Shaim Hosan, a další
Vydáno: (2024)

Use of stem cells for the Study and treatment of type 1 diabetes
Autor: Ahsan, Safat
Vydáno: (2024)

Double trouble: prevalence and factors associated with tuberculosis and diabetes comorbidity in Bangladesh
Autor: Sarker, Malabika, a další
Vydáno: (2018)