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.

Bibliografiset tiedot
Päätekijät:	Ridwan, Naeeb MD, Omi, Fuad Tanvir, Ahamed, Protiva
Muut tekijät:	Alam, Dr. Md Ashraful
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	BRAC University 2018
Aiheet:	Machine learning Android application Healthcare Android (operativsystem) > programmering.
Linkit:	http://hdl.handle.net/10361/10847

Samankaltaisia teoksia

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Augmented reality education system
Tekijä: Hasan, Md. Mehedi, et al.
Julkaistu: (2018)

Machine Learning /
Tekijä: Mitchell, Tom M. (Tom Michael), 1951-
Julkaistu: (1997)

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

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

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

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

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

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

Migrating responsive bin
Tekijä: Jannet, Kawsin, et al.
Julkaistu: (2015)

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

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

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

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

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

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

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