Healthcare is an essential factor for living a good life. Unfortunately, consulting a doctor for non-life threatening problems can be difficult at times due to our busy lives. The aim of healthcare services is to make our lives easier and to improve the quality of life. The concept of personal assistants or chatbots builds on the progressing maturity of areas such as Artificial Intelligence (AI) and Artificial Neural Network (ANN). In this paper, we propose a healthcare assistant that will allow users to check for symptoms of common diseases, a suggestion to visit a doctor if needed, exercise recommendation, tracking exercise/workout routine, along with a comprehensive exercise guide. The primary objective is to develop a system that utilizes AI and deep learning to help improve the lives of people who have busy schedule to easily keep a check on their health.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Darwin: Convolutional Neural Network based Intelligent Health Assistant


    Contributors:


    Publication date :

    2018-03-01


    Size :

    2035879 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Identifier of human emotions based on convolutional neural network for assistant robot

    Martinez, Fredy / Hernández, César / Rendón, Angélica | BASE | 2020

    Free access

    DARWIN - Integrated instrumentation and intelligent database elements

    Schreiner, John / Trosin, Phillip / Pochel, Cathy et al. | AIAA | 1996


    Intelligent automobile air conditioner control method based on convolutional neural network

    LIU YURU / ZHANG DONGMEI / TAO SHU | European Patent Office | 2024

    Free access

    DARWIN - Integrated Instrumentation and Intelligent Database Elements

    Schreiner, J. A. / Trosin, P. J. / Pochel, C. A. et al. | British Library Conference Proceedings | 1996


    Intelligent Graph Convolutional Neural Network for Road Crack Detection

    Djenouri, Youcef / Belhadi, Asma / Houssein, Essam H. et al. | IEEE | 2023