An advanced healthcare android application with machine learning

An advanced healthcare android application with machine learning

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

Bibliografiske detaljer
Main Authors:	Ridwan, Naeeb MD, Omi, Fuad Tanvir, Ahamed, Protiva
Andre forfattere:	Alam, Dr. Md Ashraful
Format:	Thesis
Sprog:	English
Udgivet:	BRAC University 2018
Fag:	Machine learning Android application Healthcare Android (operativsystem) > programmering.
Online adgang:	http://hdl.handle.net/10361/10847

Lignende værker

Development of mobile learning system based on android app
af: Samrin, Sama, et al.
Udgivet: (2018)

Controlling android device with eye tracking
af: Hasan, Sakib, et al.
Udgivet: (2017)

Smart public transportation system in the prospective of Bangladesh using android application and RFID technology
af: Uddin, Mohammed Adnan, et al.
Udgivet: (2017)

Towards a cross platform solution to share small-scale data across smart devices using visible light: a prototype developed in android environment
af: Fairooz, Faizah, et al.
Udgivet: (2018)

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

Bangla character recognition for Android devices
af: Manzur, Shahrin, et al.
Udgivet: (2016)

Towards a cross platform solution to share small scale data across smart–devices using audio waves: a prototype development in android environment
af: Hasan, S. M. Ferdous, et al.
Udgivet: (2018)

Android platform to find blood donors and predicting most suitable donors
af: Ahmed, Nakib, et al.
Udgivet: (2018)

Android-based smart voting system
af: Mahmood, Tawseef, et al.
Udgivet: (2016)

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

Impact of machine learning and deep learning on biomedical applications and healthcare industry
af: Kabir, Md Saif, et al.
Udgivet: (2024)

Kotlin for Android developers : learn Kotlin the easy way while developing an Android App /
af: Leiva, Antonio
Udgivet: (2017)

Analyzing user data privacy in android mobile OS
af: Miah, Abdul Momen, et al.
Udgivet: (2023)

Android programming for beginners : learn all the Java and Android skills you need to start making powerful mobile applications /
af: Horton, John
Udgivet: (2015)

Exploring the potentials and horizons of network block device (NBD) integration on the android ecosystem
af: Rahman, Tanvir, et al.
Udgivet: (2024)

Digitization of the entire traffic system and mitigation of the ongoing traffic crisis across cities of developing nations
af: Yasar, Mohammad Samin, et al.
Udgivet: (2016)

ShielDroid: a hybrid ML and DL approach for real-time malware detection system in Android
af: Ahmed, Md Faisal, et al.
Udgivet: (2021)

A decision support system for symptom-based common diseases and image-based skin diseases detection
af: Joy, Moinul Alam
Udgivet: (2021)

A mobile application on performing blast analysis and local alignment
af: Kiron, Md. Ismail, et al.
Udgivet: (2016)

Comparative analysis between machine learning algorithms in efficiency of Coronary Heart Disease (CHD) prediction
af: Oishi, Fayza Rezwana, et al.
Udgivet: (2020)

Wearable computing devices for the visually impaired
af: Karim, Shakil Bin, et al.
Udgivet: (2016)

An android and web based application ‘Urban Healthcare Service’ to improve the health care system of bangladesh
af: Islam, Shah Md. Monirul, et al.
Udgivet: (2018)

Head first Android development : a brain-friendly guide /
af: Griffiths, Dawn, et al.
Udgivet: (2017)

Comparative analysis and machine learning predictions of cervical cancer incidence: a multi-national study
af: Faisal, Shah
Udgivet: (2024)

Augmented reality education system
af: Hasan, Md. Mehedi, et al.
Udgivet: (2018)

Machine Learning /
af: Mitchell, Tom M. (Tom Michael), 1951-
Udgivet: (1997)

Contribution of multidisciplinary healthcare professionals in the management of gestational diabetes mellitus: case study on selected hospitals in Dhaka
af: Modasser, Khadiza Binta
Udgivet: (2018)

Developing a policy based algorithm for mobile devices to access neighboring Wi-Fi APs in enterprise environment
af: Noor, Riashad, et al.
Udgivet: (2017)

I-bin : the intelligent and entertaining bin
af: Noor, Nolok, et al.
Udgivet: (2014)

Application of augmented reality: Mobile camera based bangla text detection and translation
af: S.Mahbub-Uz-Zaman, et al.
Udgivet: (2013)

Detecting Adverse Drug Reaction (ADR) with data mining and predicting its intensity with machine learning
af: Hussain, Nadib, et al.
Udgivet: (2018)

Urban healthcare facilities using mobile application
af: Anni, Anika Tahasin, et al.
Udgivet: (2017)

Migrating responsive bin
af: Jannet, Kawsin, et al.
Udgivet: (2015)

A review on the role of artificial intelligence in healthcare transformation
af: Brishti, Iffat Ara
Udgivet: (2024)

Heart disease prediction using machine learning algorithms
af: Ali, Musfiq, et al.
Udgivet: (2019)

Alumni opportunities using machine learning
af: Siaum, Arshif Sharlimin, et al.
Udgivet: (2019)

Online smart security with remote monitoring facilities
af: Nesha, Zinnatun, et al.
Udgivet: (2017)

Women’s preferences for maternal healthcare services in Bangladesh: Evidence from a discrete choice experiment.
af: Mahumud, Rashidul Alam, et al.
Udgivet: (2022)

Public vehicle ETA system using machine learning
af: Kabir, Md. Miraz, et al.
Udgivet: (2018)

Predicting depression in Bangladeshi undergraduates using machine learning
af: Choudhury, Ahnaf Atef, et al.
Udgivet: (2019)