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.

Bibliografische gegevens
Hoofdauteurs:	Ridwan, Naeeb MD, Omi, Fuad Tanvir, Ahamed, Protiva
Andere auteurs:	Alam, Dr. Md Ashraful
Formaat:	Thesis
Taal:	English
Gepubliceerd in:	BRAC University 2018
Onderwerpen:	Machine learning Android application Healthcare Android (operativsystem) > programmering.
Online toegang:	http://hdl.handle.net/10361/10847

Gelijkaardige items

Development of mobile learning system based on android app
door: Samrin, Sama, et al.
Gepubliceerd in: (2018)

Controlling android device with eye tracking
door: Hasan, Sakib, et al.
Gepubliceerd in: (2017)

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

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

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

Bangla character recognition for Android devices
door: Manzur, Shahrin, et al.
Gepubliceerd in: (2016)

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

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

Android-based smart voting system
door: Mahmood, Tawseef, et al.
Gepubliceerd in: (2016)

Smart security system based on frontal face detection method and android mobile
door: Khan, Mahjabeen
Gepubliceerd in: (2017)

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

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

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

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

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

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

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

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

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

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

Wearable computing devices for the visually impaired
door: Karim, Shakil Bin, et al.
Gepubliceerd in: (2016)

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

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

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

Augmented reality education system
door: Hasan, Md. Mehedi, et al.
Gepubliceerd in: (2018)

Machine Learning /
door: Mitchell, Tom M. (Tom Michael), 1951-
Gepubliceerd in: (1997)

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

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

I-bin : the intelligent and entertaining bin
door: Noor, Nolok, et al.
Gepubliceerd in: (2014)

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

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

Urban healthcare facilities using mobile application
door: Anni, Anika Tahasin, et al.
Gepubliceerd in: (2017)

Migrating responsive bin
door: Jannet, Kawsin, et al.
Gepubliceerd in: (2015)

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

Heart disease prediction using machine learning algorithms
door: Ali, Musfiq, et al.
Gepubliceerd in: (2019)

Alumni opportunities using machine learning
door: Siaum, Arshif Sharlimin, et al.
Gepubliceerd in: (2019)

Online smart security with remote monitoring facilities
door: Nesha, Zinnatun, et al.
Gepubliceerd in: (2017)

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

Public vehicle ETA system using machine learning
door: Kabir, Md. Miraz, et al.
Gepubliceerd in: (2018)

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