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.

Detalles Bibliográficos
Autores principales:	Ridwan, Naeeb MD, Omi, Fuad Tanvir, Ahamed, Protiva
Otros Autores:	Alam, Dr. Md Ashraful
Formato:	Tesis
Lenguaje:	English
Publicado:	BRAC University 2018
Materias:	Machine learning Android application Healthcare Android (operativsystem) > programmering.
Acceso en línea:	http://hdl.handle.net/10361/10847

Ejemplares similares

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Augmented reality education system
por: Hasan, Md. Mehedi, et al.
Publicado: (2018)

Machine Learning /
por: Mitchell, Tom M. (Tom Michael), 1951-
Publicado: (1997)

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

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

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

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

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

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

Migrating responsive bin
por: Jannet, Kawsin, et al.
Publicado: (2015)

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

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

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

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

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

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

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