Health Disease Prediction Using Deep Learning And Patient Health Monitoring Wearable Device Using Sensors And IOT
Main Article Content
Abstract
In spite of several emerging medical technologies and innovations, many countries are facing difficulties in creating the proper health infrastructure which can handle pandemic and emergency situations. So, it is essential to have a smart and virtual health infrastructure to track, test and treat the patients. The proposed model adopts IOT based wearable device which includes multiple sensors to observe the health condition of the patient. The sensors data obtained from the wearable device will be periodically uploaded to cloud user account. Additional access will be given to doctor/care takers to load the test results and medications. So we have used HTTP protocol over internet or LAN (local area network). We have implemented wearable device where it reads pulse rate and temperature every 8 sec and upload the data in Things speak which is an IOT platform where doctor’s, patient care taker and nurse can monitor patients health by sitting any corner of this world and Now-a-days, People nowadays suffer from a variety of diseases as a result of the climate and their lifestyle choices. As a result, predicting illness at an earlier stage becomes a critical challenge. However, doctors find it difficult to make precise predictions based on symptoms. The most difficult challenge is correctly predicting disease. To solve this issue, a computer was developed. Training is crucial in predicting the future. We proposed general disease prediction based on symptoms of the patient.
Downloads
Metrics
Article Details
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
