Hash polynomial two factor decision tree using IoT for smart health care scheduling

2020 ◽  
Vol 141 ◽  
pp. 112924 ◽  
Author(s):  
Ramachandran Manikandan ◽  
Rizwan Patan ◽  
Amir H. Gandomi ◽  
Perumal Sivanesan ◽  
Hariharan Kalyanaraman
Keyword(s):  
Health Care ◽  
Decision Tree ◽  
Smart Health ◽  
Health Care Scheduling

Internet of Things based Smart Health Care System using LoRa

2021 ◽  
Author(s):  
Balaji V R ◽  
Dinesh Kumar J R ◽  
A. Arivarasan ◽  
J. Karthick Raja ◽  
P. Chidambaram
Keyword(s):  
Health Care ◽  
Internet Of Things ◽  
Health Care System ◽  
Smart Health ◽  
Care System

scholarly journals IOT Based Smart Health Care

2018 ◽  
Vol 7 (2.7) ◽  
pp. 470 ◽  
Author(s):  
Yalamanchili Navya Teja ◽  
Lavu Vooha ◽  
Adusumilli Rohini Priya ◽  
N V.K.Ramesh
Keyword(s):  
Health Care ◽  
Environmental Pollution ◽  
Human Health ◽  
Health Problems ◽  
Mobile Data ◽  
Maximum Extent ◽  
Work Pressure ◽  
Smart Health

As these days there is a lot of effect because of environmental pollution and other factors like work pressure human health problems are increasing to a maximum extent. Technology takes a major role in monitoring the health of a individual. This helps to have a copy of recorded values and this helps in taking immediate steps to cure the condition or a precautions needed. As it important to monitor some parameters of the patient we use some sensors. The bluetooth module helps in collecting data from the sensors and sends it to the mobile through Bluetooth and this data can be uploaded to the cloud using Mobile data. This gives perfect data for the doctors to take a decision and give a suggestion to the patient.   

scholarly journals The Smart Health Care Prediction using Chatbot

2020 ◽  
Vol 9 (2) ◽  
pp. 75-78
Keyword(s):  
Health Care ◽  
Early Stage ◽  
The Other ◽  
Health Issue ◽  
The People ◽  
Smart Health ◽  
Chat Bot ◽  
Medical Healthcare ◽  
Is Design ◽  
At Home

Our healthcare is very much important to lead a peaceful and honest life. If any health issue occurs, we need to go to the hospital and consult the doctor for the very minor problems. our healthcare chatbot is developed to help the people to predict their health issue early at home before they visit the doctor or hospital for the mi nor problems. For the minor issues we are spending lots of costs. The healthcare chatbot is design to reduce such costs and also its improves the efficiency of the medical healthcare. There were many chatbots available they act as a reference for the patient to know more about their health issue. The healthcare chatbot is something different from the other chatbots which predicts the diseases by using symptoms and gives the doctor details to consult the doctor. The healthcare chatbot is developed by using AI in the text to text conversation mode. The user who knows only to write and read can use this chatbot for their minor issue. In this healthcare chatbot, the system predicts the diseases based on the symptom given by the user using the pattern concept in AIML algorithm. The system also predicts the prescription and also give the doctor details to the user based on the diseases predicted for their symptom given. By using this healthcare chat bot people will know the minor diseases at early stage with no costs. Whenever the patient or user gets the time they will consult doctor for their health issue. This will make people to know more about their health issue anywhere at any time.

Sign in / Sign up

Export Citation Format

Share Document