Icare location app
Hospitals are of specific interest in this regard as the multitude of technical equipment used is potentially interfering with navigation systems. the navigation requirements of people or the location of objects). Indoor navigation within closed facilities has been subject of studies with different application areas, particularly in recent years (e.g.
The test results show that the decision tree algorithm has the best computing performance and the random forest algorithm has better prediction accuracy. The performance and accuracy of machine learning, namely the decision tree, random forest, and logistic regression algorithms, operating in different Spark cluster computing environments were compared. Based on the proposed framework, this study develops a Medical and Health Information Platform that provides a chatbot interface on LINE messaging app to interact with users to offer useful medical information for user needs. This study proposes a Machine-Learning-based Chatbot Framework that integrates statistical analysis, machine learning and natural language understanding technologies into the Spark cluster to facilitate the development of intelligent chatbot. In terms of time, cost, and convenience, the potential solution for these people to overcome the aforementioned problems is to interact with chatbots to obtain useful medical information. People avoid hospital treatments for small problems, which may eventually develop into major diseases.
For people with busy schedules, travelling to and from a hospital for treatment is considerably time consuming, which leads them to ignore their health problems.