A machine learning approach on classifying orthopedic patients based on their biomechanical features

A machine learning approach on classifying orthopedic patients based on their biomechanical features

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

Библиографические подробности
Главные авторы:	Hasan, Kamrul, Islam, Safkat, Samio, Md. Mehfil Rashid Khan
Другие авторы:	Chakrabarty, Amitabha
Формат:	Диссертация
Язык:	English
Опубликовано:	BRAC University 2018
Предметы:	Orthopedic Health condition Machine learning Decision tree Algorithm
Online-ссылка:	http://hdl.handle.net/10361/10119

Схожие документы

A feature selection approach to determine obesity using machine learning method
по: Antor, Shahidul Alam, и др.
Опубликовано: (2021)

Detecting online recruitment fraud by using machine learning
по: Ghosh, Gitanjali, и др.
Опубликовано: (2021)

A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
по: Farabe, Abdullah Al, и др.
Опубликовано: (2021)

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

Early grade prediction using profile data
по: Iqbal, Sumaiya, и др.
Опубликовано: (2021)

Finding suitable locations for live campaigns using different machine learning techniques
по: Qudar, Mohiuddin Md. Abdul, и др.
Опубликовано: (2018)

Accuracy of data analysis on university student's major subject and job sector prediction using KNN and decision tree algorithm
по: Ahmed, Istear, и др.
Опубликовано: (2023)

An approach to detect epileptic seizure using XAI and machine learning
по: Bijoy, Emam Hasan, и др.
Опубликовано: (2022)

Modelling and forecasting energy demand of Bangladesh using AI based algorithms
по: Mahmud, Booshra Nazifa, и др.
Опубликовано: (2019)

A counseling system to predict the study path for freshmen
по: Usha, Rowshni Tasneem, и др.
Опубликовано: (2019)

A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
по: Rahee, Arnob, и др.
Опубликовано: (2021)

Bank loan prediction using machine learning
по: Mahottam, Parthosarothi, и др.
Опубликовано: (2023)

Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment
по: Shihab, Ibne Farabi, и др.
Опубликовано: (2018)

Machine learning-based approach on predicting online shopping addiction using EEG signals
по: Nawer, Nafisa, и др.
Опубликовано: (2023)

A voice signal based gender prediction model using random forest classifier
по: Ahmed, Saif, и др.
Опубликовано: (2018)

Machine learning based data processing and latency reduction in the internet of things for agriculture
по: Rahman, Sajeed Ur, и др.
Опубликовано: (2019)

Email classification and meeting scheduling using classifier algorithm
по: Khan, Behroz Newaz, и др.
Опубликовано: (2017)

Early detection of chronic kidney disease using machine learning
по: Abrar, Tahmid, и др.
Опубликовано: (2019)

A novel approach to reduce air pollution through machine learning based PM2.5 prediction
по: Alif, Omar Farhad, и др.
Опубликовано: (2023)

Predicting stock market movement using sentiment analysis of twitter feed
по: Chakraborty, Pranjal, и др.
Опубликовано: (2017)

Machine learning for stress prediction
по: Salehin, Sherajus, и др.
Опубликовано: (2023)

Symptom analysis of Parkinson disease using SVM-SMO and Ada-Boost classifiers
по: Billah, Muhtasim
Опубликовано: (2014)

Finding ideal geographical location for businesses using machine learning technique
по: Mahmud, Mir Ibtid, и др.
Опубликовано: (2022)

Text classification using machine learning algorithms
по: Hasnat, Fahim, и др.
Опубликовано: (2018)

Use of machine learning and IoT for monitoring and tracking of livestock
по: Aunindita, Rudaba Farhin, и др.
Опубликовано: (2023)

Examination of huntington’s disease with atypical clinical features in a Bangladeshi family tree and study of association of miRNAs expression level with the diseased condition
по: Khan, Tanzila
Опубликовано: (2017)

Credit card fraud detection using machine learning techniques
по: Kabir, Tasmia, и др.
Опубликовано: (2021)

Application of machine learning techniques on the context of livestock analysis
по: Islam, Md. Shajedul, и др.
Опубликовано: (2018)

Effectiveness of data mining in predicting heart diseases
по: Afrin, Shahria, и др.
Опубликовано: (2018)

Behavior trees in robotics and Al /
по: Collendanchise, Michele, и др.
Опубликовано: (2019)

Squad selection for cricket team using machine learning algorithms
по: Malek, Meraj-Bin-, и др.
Опубликовано: (2019)

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

Prediction of bipolar disorder from mental episodes using machine learning approach
по: Tasmeem, Sumaiya, и др.
Опубликовано: (2023)

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

Working process of Trump Tree digital
по: Jaman, Romanur
Опубликовано: (2017)

Forest farming : towards a solution to problems of world hunger and conservation /
по: Sholto Douglas, James, 1920-
Опубликовано: (1984)

Tropical and subtropical trees : a world wide encyclopediac guid /
по: Barwick, Margaret
Опубликовано: (2004)

Into the heart of Bangla speech: advancing speech sentiment recognition with semi-supervised multimodal machine learning model leveraging an iterative SHAP-based feature selection
по: Shruti, Abanti Chakraborty
Опубликовано: (2024)

Performance analysis of machine learning algorithms for Malware classification
по: Bushra, Raisa Hasan, и др.
Опубликовано: (2023)

Detection of epileptic seizure using Support Vector Machine Classifier - extracted features from EEG signals
по: Amiz, Asef Hassan, и др.
Опубликовано: (2021)