Title
Implementation of Energy Efficient Artificial Intelligence-Based Health Monitoring and Emergency Prediction System Using IoT: Mediating Effect of Entrepreneurial Orientation
Date Issued
01 January 2022
Access level
metadata only access
Resource Type
conference paper
Author(s)
Universidad Tecnológica del Perú
Publisher(s)
Springer Science and Business Media Deutschland GmbH
Abstract
The healthcare industry is developing rapidly, and innovations are now considered as the significant game-changer. IoT (Internet of Things) is shaping the healthcare industry in a new form with promising advances in testing, monitoring processes. Monitoring the health issues of the patients, organizing the treatment initiatives, and empowering the physicians it is providing superlative measures. The invention of the IoT through internet based artificial intelligence is determining the bright future of the medical field. Whether IoT is diagnosing the disease, or analyzing the past history of a certain disease the implementation of artificial intelligence is great. Here in this study the roles of internet based artificial intelligence are illustrated. Furthermore, it has described the current working features in health monitoring. Key aim of this study is to analyze this new innovative implementation in health monitoring. The article is developed including secondary qualitative analysis. Data collection, diagnosing health issues, and in monitoring the preventive care of IoT is compared with the traditional way of heath monitoring. Many experts see that artificial intelligence is more able than the conventional method to work in a more organized way. This study targets to analyze both the advantages, and disadvantages of implementation of artificial intelligence. Various components are addressed along with the gap to predict the increasing use of it in the near future. Comparing with the traditional; ways in giving better service experience is discussed. Including both the gaps, and benefits this study would be beneficial to give a better and effective understanding about the chosen topic.
Start page
197
End page
204
Volume
1591 CCIS
Language
English
OCDE Knowledge area
Telecomunicaciones
Biotecnología médica
Subjects
Scopus EID
2-s2.0-85131925883
ISSN of the container
18650929
ISBN of the container
978-303107011-2
Conference
Communications in Computer and Information Science
Sources of information:
Directorio de Producción Científica
Scopus