The applications of data mining and machine learning in Bangladesh for disease pattern analysis and prediction

The applications of data mining and machine learning in Bangladesh for disease pattern analysis and prediction

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.

Xehetasun bibliografikoak
Egile nagusia:	Mahmud, Mahmudul Hasan
Beste egile batzuk:	Arif, Hossain
Formatua:	Thesis
Hizkuntza:	en_US
Argitaratua:	Brac University 2021
Gaiak:	Diabetes prediction Naïve Bayes Decision tree Random forest Logistic regression SVC Linear SVC KNN LassoCV GridsearchCV KFold StratifiedKFold
Sarrera elektronikoa:	http://dspace.bracu.ac.bd/xmlui/handle/10361/14450

Antzeko izenburuak

A feature selection approach to determine obesity using machine learning method
nork: Antor, Shahidul Alam, et al.
Argitaratua: (2021)

Flood prediction using machine learning models
nork: Syeed, Miah Mohammad Asif, et al.
Argitaratua: (2022)

Identification of fake news using machine learning in distributed system
nork: Saif, Mehruz, et al.
Argitaratua: (2021)

A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
nork: Farabe, Abdullah Al, et al.
Argitaratua: (2021)

SCAMM: detection and prevention of SQL injection attacks using a machine learning approach
nork: Alam, Auninda, et al.
Argitaratua: (2021)

Heart disease prediction using techniques of classification in machine learning
nork: Afrose, Sadia, et al.
Argitaratua: (2021)

Machine learning In breast cancer prognosis and prediction
nork: Chowdhury, Shah Abul Hasnat, et al.
Argitaratua: (2023)

A voice signal based gender prediction model using random forest classifier
nork: Ahmed, Saif, et al.
Argitaratua: (2018)

Stock market prediction using ensemble learning
nork: Rabbani, Rakin Bin, et al.
Argitaratua: (2021)

Unveiling underlying patterns, drivers and anomalies in cryptocurrency price dynamics through feature fusion of financial indicators and sentiment fluctuations
nork: Rabbi, Md. Nafis
Argitaratua: (2024)

Machine learning based analysis and prediction of crop yield and prices of Aman, Aus and Boro rice
nork: Bhattacharjee, Ruposri, et al.
Argitaratua: (2024)

Parking data analysis
nork: Ahamed, Kasfi, et al.
Argitaratua: (2023)

Prediction of diabetes induced complications using different machine learning algorithms
nork: Rahman, Tahsinur, et al.
Argitaratua: (2018)

Estimating flood susceptibility of Bangladesh in the future year using machine learning
nork: Alim, Sakib Bin, et al.
Argitaratua: (2021)

OpenCV 2 computer vision application programming cookbook : over 50 recipes to master this library of programming functions for real-time computer vision /
nork: Laganière,R
Argitaratua: (2011)

Sentimental analysis of food review contents to improve food culture and the quality of virtual content using natural language processing and machine learning
nork: Sarkar, Ripa, et al.
Argitaratua: (2024)

A color vision approach considering Reflection Co efficient based on Autoencoder techniques using deep neural networks
nork: Mahmud, Shakib Izaz, et al.
Argitaratua: (2022)

Early grade prediction using profile data
nork: Iqbal, Sumaiya, et al.
Argitaratua: (2021)

Best feature selection and data visualization for breast cancer prediction
nork: Hemel, Tanjim Ahmed, et al.
Argitaratua: (2020)

Cardiovascular disease prediction model using Machine Learning Algorithm
nork: Arefin Mirdha, MD Shamsul
Argitaratua: (2023)

Analysis on the effects of wallstreetbets on the stock market
nork: Hossain, Abir, et al.
Argitaratua: (2022)

A machine learning approach to predict young voter enthusiasm based on non-political factors
nork: Rahman, Md. Nowroz Junaed, et al.
Argitaratua: (2021)

Detecting online recruitment fraud by using machine learning
nork: Ghosh, Gitanjali, et al.
Argitaratua: (2021)

A counseling system to predict the study path for freshmen
nork: Usha, Rowshni Tasneem, et al.
Argitaratua: (2019)

Machine learning for stress prediction
nork: Salehin, Sherajus, et al.
Argitaratua: (2023)

Automated fabric color prediction
nork: Muhtashima, Fawzia, et al.
Argitaratua: (2024)

Prediction of bipolar disorder from mental episodes using machine learning approach
nork: Tasmeem, Sumaiya, et al.
Argitaratua: (2023)

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

Performance analysis of machine learning algorithms for Malware classification
nork: Bushra, Raisa Hasan, et al.
Argitaratua: (2023)

A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
nork: Rahee, Arnob, et al.
Argitaratua: (2021)

Football offside tracking
nork: Mitu, Ishrat Jahan, et al.
Argitaratua: (2023)

Fighting depression: psychological approaches among Bangladeshi university students
nork: Sen, Sanjib Kumar, et al.
Argitaratua: (2022)

A novel approach to reduce air pollution through machine learning based PM2.5 prediction
nork: Alif, Omar Farhad, et al.
Argitaratua: (2023)

Prediction on large scale data using extreme gradient boosting
nork: Sawon, Md.Tariq Hasan, et al.
Argitaratua: (2016)

Forecasting stock market prices using advanced tools of machine learning
nork: Anwar, Md. Tawhid, et al.
Argitaratua: (2019)

Predicting the length of stay in a hospital for a particular disease using machine learning algorithms
nork: Imam, Saif
Argitaratua: (2021)

Modelling and forecasting energy demand of Bangladesh using AI based algorithms
nork: Mahmud, Booshra Nazifa, et al.
Argitaratua: (2019)

Data analysis on the Bangladesh share market using Machine-Learning
nork: Sadman, Syed Hassan, et al.
Argitaratua: (2021)

Analyzing CV/resume using natural language processing and machine learning
nork: Reza, Md. Tanzim, et al.
Argitaratua: (2018)

An approach to detect epileptic seizure using XAI and machine learning
nork: Bijoy, Emam Hasan, et al.
Argitaratua: (2022)