Proceedings ArticleDOI
[WiP] Sentiment Analysis Electronic Healthcare System Based on Heart Rate Monitoring Smart Bracelet
Iuliana Marin,Nicolae Goga,Andrei Doncescu +2 more
- pp 99-104
Reads0
Chats0
TLDR
The lives of pregnant women who suffer from preeclampsia, as well as the ones of the persons who have cardiac diseases can be sustained through the use of a smart bracelet which closely monitors their health state through sentiment analysis.Abstract:
Electronic healthcare devices are much more used as the years pass. The lives of pregnant women who suffer from preeclampsia, as well as the ones of the persons who have cardiac diseases can be sustained through the use of a smart bracelet which closely monitors their health state. The designed bracelet does this, while sending the receiving data towards the associated smart phone and then to the system's server. The server analysis automatically the received health parameters and informs the associated relatives, caregivers and the doctor in case of an emergency by sending an SMS. The bracelet's user can write about the current health symptoms and the medical experience. Sentiment analysis is used for determining if a critical situation has been outlined. In case this happened, an SMS alert is sent to the doctor. This close bond between the patient and doctor enhances the well-being of individuals.read more
Citations
More filters
Journal ArticleDOI
Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach
TL;DR: In this article, the authors used automated extraction of COVID-19-related discussions from social media and a natural language process (NLP) method based on topic modeling to uncover various issues related to the disease from public opinions.
Posted ContentDOI
Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach
TL;DR: In this article, the authors used automated extraction of COVID-19-related discussions from social media and a natural language process (NLP) method based on topic modeling to uncover various issues related to the disease from public opinions.
Posted Content
Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach
TL;DR: In this article, the authors used automated extraction of COVID-19 related discussions from social media and a natural language process (NLP) method based on topic modeling to uncover various issues related to COVID19 from public opinions.
Journal ArticleDOI
Smart Bracelet System for Temperature Monitoring and Movement Tracking Analysis.
TL;DR: In this article, a wearable bracelet that can be used as a temperature monitoring and trajectory analysis system is presented, which can effectively monitor the body temperature of the wearer in the target scene, and data transmission between the bracelet and the data collector can effectively detect the movement range and trajectory of wearer.