A decision support system for symptom-based common diseases and image-based skin diseases detection

A decision support system for symptom-based common diseases and image-based skin diseases detection

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

Библиографические подробности
Главный автор:	Joy, Moinul Alam
Другие авторы:	Alam, Md. Golam Rabiul
Формат:	Диссертация
Язык:	English
Опубликовано:	Brac University 2021
Предметы:	Disease prediction Support vector machine Skin disease MobileNet Collaborative ltering Android application Machine learning Application software > Development Mobile computing
Online-ссылка:	http://hdl.handle.net/10361/15629

Схожие документы

Enhancing Monkeypox diagnosis: a machine learning approach for skin lession classification
по: Nazmee, Namirah, и др.
Опубликовано: (2024)

Antimicrobial peptides in skin diseases
по: Pinkey, Monika Tabassum
Опубликовано: (2022)

To control site-specific skin gene expression, autocrine mimics paracrine canonical Wnt signaling and Is activated ectopically in skin disease
по: Kim, Dongwon, и др.
Опубликовано: (2016)

Detection of skin diseases using deep learning
по: Shodoy, Masuk Ur Rahman
Опубликовано: (2024)

Comparative analysis of machine learning models for the prediction of asthma disease among the cardiovascular disease patients
по: Jahan, Asif
Опубликовано: (2024)

Citrus leaf disease detection by image processing
по: Chowdhury, Mahir Faisal, и др.
Опубликовано: (2024)

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

Skin disease detection and classification using deep learning
по: Shuvon, Mehedi Hasan, и др.
Опубликовано: (2022)

Computer vision based skin disease detection using machine learning
по: Jayeb, Ahmad Wasiq, и др.
Опубликовано: (2023)

Detection of skin cancer using Convolutional neural network
по: Ahsan, Abu Sa-adat Mohamed Moon-Im Al, и др.
Опубликовано: (2020)

Plant disease detection using convolutional neural network
по: Hossain, Mohammad Shifat, и др.
Опубликовано: (2021)

Exploring machine learning techniques for symptom-based detection of livestock diseases
по: Niloy, Mahir Ahmed, и др.
Опубликовано: (2024)

Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
по: Athina, Fahima Hasan, и др.
Опубликовано: (2022)

Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
по: Choudhury, Prionto Kumar, и др.
Опубликовано: (2024)

An introduction to support vector machines : and other kernel-based learning methods /
по: Cristianini, Nello
Опубликовано: (2000)

Tomato leaf disease detection using Resnet-50 and MobileNet Architecture
по: Tahamid, Abu
Опубликовано: (2021)

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

Manual of skin surgery : a practical guide to dermatologic procedures /
по: Leffell, David J.
Опубликовано: (1997)

An implementation and analysis of deep learning models for the detection of wheat diseases
по: Zubair, Ahmad, и др.
Опубликовано: (2024)

Heart disease prediction using machine learning algorithms
по: Ali, Musfiq, и др.
Опубликовано: (2019)

Development of mobile learning system based on android app
по: Samrin, Sama, и др.
Опубликовано: (2018)

Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
по: Ahmed, Md. Sabbir, и др.
Опубликовано: (2021)

Heart disease prediction system
по: Amit, Tayab Al Azad, и др.
Опубликовано: (2022)

Aspect based opinion mining on restaurant reviews
по: Tonmoy, Sazid Hasan, и др.
Опубликовано: (2024)

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

Violent activity detection through surveillance camera using deep learning
по: Miah, Parvez, и др.
Опубликовано: (2023)

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

Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors.
по: Ahmed, Sajjad
Опубликовано: (2019)

Comparison of machine learning techniques to predict cardiovascular disease
по: Jaber, Mir Mohammad, и др.
Опубликовано: (2019)

An advanced healthcare android application with machine learning
по: Ridwan, Naeeb MD, и др.
Опубликовано: (2018)

Machine learning approach for ECG analysis and predicting different heart diseases
по: Tithi, Sushmita Roy, и др.
Опубликовано: (2019)

Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
по: Radiah, Faiza, и др.
Опубликовано: (2024)

Smart security system based on frontal face detection method and android mobile
по: Khan, Mahjabeen
Опубликовано: (2017)

Bone age comparison using convolutional neural network
по: Nawaz, Fariha, и др.
Опубликовано: (2019)

Android for programmers : an App-driven approach /
Опубликовано: (2012)

Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
по: Shahriar, Farhan, и др.
Опубликовано: (2021)

Image processing based human detection and social distancing measurements with monitoring via fine tuned deep learning and computer vision
по: Datta, Anurag, и др.
Опубликовано: (2022)

A machine learning approach to detect depression and anxiety using supervised learning
по: Ullas, Md Tahmidur Rahman, и др.
Опубликовано: (2019)

Plant disease diagnosis using deep transfer learning architectures- VGG19, MobileNetV2 and Inception-V3
по: Kobra, Khadija-Tul, и др.
Опубликовано: (2022)

Deep learning-based real-time pothole detection for avoiding road accident
по: Basher, Rafsan, и др.
Опубликовано: (2022)