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.

Dettagli Bibliografici
Autori principali:	Hasan, Kamrul, Islam, Safkat, Samio, Md. Mehfil Rashid Khan
Altri autori:	Chakrabarty, Amitabha
Natura:	Tesi
Lingua:	English
Pubblicazione:	BRAC University 2018
Soggetti:	Orthopedic Health condition Machine learning Decision tree Algorithm
Accesso online:	http://hdl.handle.net/10361/10119

Documenti analoghi

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

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

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

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

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

Finding suitable locations for live campaigns using different machine learning techniques
di: Qudar, Mohiuddin Md. Abdul, et al.
Pubblicazione: (2018)

Accuracy of data analysis on university student's major subject and job sector prediction using KNN and decision tree algorithm
di: Ahmed, Istear, et al.
Pubblicazione: (2023)

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

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

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

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

Bank loan prediction using machine learning
di: Mahottam, Parthosarothi, et al.
Pubblicazione: (2023)

Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment
di: Shihab, Ibne Farabi, et al.
Pubblicazione: (2018)

Machine learning-based approach on predicting online shopping addiction using EEG signals
di: Nawer, Nafisa, et al.
Pubblicazione: (2023)

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

Machine learning based data processing and latency reduction in the internet of things for agriculture
di: Rahman, Sajeed Ur, et al.
Pubblicazione: (2019)

Email classification and meeting scheduling using classifier algorithm
di: Khan, Behroz Newaz, et al.
Pubblicazione: (2017)

Early detection of chronic kidney disease using machine learning
di: Abrar, Tahmid, et al.
Pubblicazione: (2019)

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

Predicting stock market movement using sentiment analysis of twitter feed
di: Chakraborty, Pranjal, et al.
Pubblicazione: (2017)

Machine learning for stress prediction
di: Salehin, Sherajus, et al.
Pubblicazione: (2023)

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

Finding ideal geographical location for businesses using machine learning technique
di: Mahmud, Mir Ibtid, et al.
Pubblicazione: (2022)

Text classification using machine learning algorithms
di: Hasnat, Fahim, et al.
Pubblicazione: (2018)

Use of machine learning and IoT for monitoring and tracking of livestock
di: Aunindita, Rudaba Farhin, et al.
Pubblicazione: (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
di: Khan, Tanzila
Pubblicazione: (2017)

Credit card fraud detection using machine learning techniques
di: Kabir, Tasmia, et al.
Pubblicazione: (2021)

Application of machine learning techniques on the context of livestock analysis
di: Islam, Md. Shajedul, et al.
Pubblicazione: (2018)

Effectiveness of data mining in predicting heart diseases
di: Afrin, Shahria, et al.
Pubblicazione: (2018)

Behavior trees in robotics and Al /
di: Collendanchise, Michele, et al.
Pubblicazione: (2019)

Squad selection for cricket team using machine learning algorithms
di: Malek, Meraj-Bin-, et al.
Pubblicazione: (2019)

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

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

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

Working process of Trump Tree digital
di: Jaman, Romanur
Pubblicazione: (2017)

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

Tropical and subtropical trees : a world wide encyclopediac guid /
di: Barwick, Margaret
Pubblicazione: (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
di: Shruti, Abanti Chakraborty
Pubblicazione: (2024)

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

Detection of epileptic seizure using Support Vector Machine Classifier - extracted features from EEG signals
di: Amiz, Asef Hassan, et al.
Pubblicazione: (2021)