Predicting the length of stay in a hospital for a particular disease using machine learning algorithms

Predicting the length of stay in a hospital for a particular disease using machine learning algorithms

This thesis is submitted in partial fulfilment of the requirements for the degree of Master of Engineering in Computer Science and Engineering, 2021.

Bibliografski detalji
Glavni autor:	Imam, Saif
Daljnji autori:	Chakrabarty, Amitabha
Format:	Disertacija
Jezik:	English
Izdano:	Brac University 2021
Teme:	Length of Stay Linear Regression Boosted Decision Tree Bayesian Regression Machine learning Computer algorithms
Online pristup:	http://hdl.handle.net/10361/15681

Similar Items

Early grade prediction using profile data
od: Iqbal, Sumaiya, i dr.
Izdano: (2021)

Prediction on large scale data using extreme gradient boosting
od: Sawon, Md.Tariq Hasan, i dr.
Izdano: (2016)

Heart disease prediction using techniques of classification in machine learning
od: Afrose, Sadia, i dr.
Izdano: (2021)

A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
od: Farabe, Abdullah Al, i dr.
Izdano: (2021)

A voice signal based gender prediction model using random forest classifier
od: Ahmed, Saif, i dr.
Izdano: (2018)

Prediction of bipolar disorder from mental episodes using machine learning approach
od: Tasmeem, Sumaiya, i dr.
Izdano: (2023)

A novel approach to reduce air pollution through machine learning based PM2.5 prediction
od: Alif, Omar Farhad, i dr.
Izdano: (2023)

Detecting online recruitment fraud by using machine learning
od: Ghosh, Gitanjali, i dr.
Izdano: (2021)

Bayesian smoothing and regression for longitudinal, spatial and event history data
od: Fahrmeir, L.

Polycystic ovary syndrome detection using neural network.
od: Istiyaq, Tahsin, i dr.
Izdano: (2024)

Machine learning for stress prediction
od: Salehin, Sherajus, i dr.
Izdano: (2023)

Automated fabric color prediction
od: Muhtashima, Fawzia, i dr.
Izdano: (2024)

Finding habitable exo planets using boosting algorithm
od: Rahman, Md. Mashfiq, i dr.
Izdano: (2020)

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

Performance analysis of machine learning algorithms for Malware classification
od: Bushra, Raisa Hasan, i dr.
Izdano: (2023)

Finding ideal geographical location for businesses using machine learning technique
od: Mahmud, Mir Ibtid, i dr.
Izdano: (2022)

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

Stock market prediction using ensemble learning
od: Rabbani, Rakin Bin, i dr.
Izdano: (2021)

Predicting stock market trend from twitter feed and building a framework for Bangladesh
od: Karim, Shabab, i dr.
Izdano: (2018)

Predicting a T20 cricket match result while the match is in progress
od: Munir, Fahad, i dr.
Izdano: (2015)

Automated farming prediction
od: Siddique, Talha, i dr.
Izdano: (2017)

Intelligent assisted living in pregnancy
od: Zaman, S. M. Tanveer, i dr.
Izdano: (2022)

Application of CNN based architectures in detection of distracted drivers
od: Arafin, Irfana, i dr.
Izdano: (2023)

A thesis on utilizing machine learning models to predict material hardship
od: Das, Tirtha
Izdano: (2024)

Weather forecasting using Deep Learning
od: Fahad, Sheikh Abdul, i dr.
Izdano: (2023)

A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
od: Rahee, Arnob, i dr.
Izdano: (2021)

Applied regression : an introduction /
od: Lewis-Beck, Michael S.
Izdano: (1980)

Supervising vehicle using pattern recognition
od: Lushan, Mihodi Hasan, i dr.
Izdano: (2018)

Flood prediction using ensemble machine learning models
od: Rahman, Tanvir
Izdano: (2024)

Performance analysis of machine learning algorithms in resume recommendation systems
od: Hasan, Ibteaz, i dr.
Izdano: (2018)

A machine learning approach to detect depression and anxiety using supervised learning
od: Ullas, Md Tahmidur Rahman, i dr.
Izdano: (2019)

Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment
od: Shihab, Ibne Farabi, i dr.
Izdano: (2018)

Analyzing area-wise air pollution level using machine learning for a better future
od: Sihan, Sk. Atik Tajwar, i dr.
Izdano: (2021)

Predicting stock market movement using sentiment analysis of twitter feed
od: Chakraborty, Pranjal, i dr.
Izdano: (2017)

Detecting tweet sentiment and sarcasm on online learning during covid-19
od: Das, Shishir Kumar, i dr.
Izdano: (2024)

Early detection of chronic kidney disease using machine learning
od: Abrar, Tahmid, i dr.
Izdano: (2019)

Heart disease prediction system
od: Amit, Tayab Al Azad, i dr.
Izdano: (2022)

Comparative analysis and implementation of credit risk prediction through distinct machine learning models
od: Turjo, Aquib Abtahi, i dr.
Izdano: (2021)

Comparative analysis and implementation of AI algorithms and NN model in process scheduling algorithm
od: Niloy, Maharshi, i dr.
Izdano: (2023)

Travel time prediction using machine learning and weather impact on traffic conditions
od: Deb, Bilash, i dr.
Izdano: (2018)