Telemedicine: Building An Application To Monitor Spo2 Index, Heart Rate, Body Temperature, Supporting Remote Medical Examination For Medical Centers.

Abstract

Nowadays, technology is a part of modern life due to its convenience and ease of usage. However, technology applications for health still need to be more prevalent and easy to use for everyone. Therefore, it is necessary to build an application with a personalized experience and many support functions for the medical center and the patient. Telemedicine plays a critical role in the connection between doctors and patients and the preliminary prediction of a patient's condition by analyzing their body index and symptoms. In this thesis, an application of telemedicine will be built on the website platform for easy access from everywhere with the internet. The solution includes using technologies from the Node.js library and two preliminary patient condition prediction models. Predictive modeling is a mathematical process used to predict future events or outcomes by analyzing patterns in a given input data set. This process is based on the user measuring and filling out the form on the website. Then, an algorithm can be implemented using the user’s form-filling information. Together, these technologies provide a powerful toolset for building a telemedicine website. This also allows developers to build scalable, efficient, and secure applications that offer a personalized experience to the users. The method involves the following steps: Data Preprocessing: Once the data has been collected, it needs to be preprocessed before it can be analyzed. This involves cleaning the data, removing duplicates, and converting it into an easily researched format. Prediction Generation: Based on the data has been processed, the model will immediately return a result for the user and it can be displayed on the website. Feedback and Improvement: The final step is continuously collecting user feedback and improving the prediction model based on the input. This helps ensure that the model provides accurate predictions and timely advice to the users. The proposed method aims to improve the user experience and increase humans' quality of life and health in modern life.