A study and analysis on e-marketing strategy in health care using Internet of Things and machine learning

Mahsa Sadeghi Garmaroudi¹

1) Master of educational management, Islamic Azad University, Tonkabon Branch, Mazandaran, Iran,

IOI Code : XGEE-KDDKZ
Publication : 2nd International Conference on Researches in Accounting, Economics, Management & Humanities(meaconf.com/2nd)
Abstract :
    Artificial intelligence (AI) is a modern approach based on computer science that develops programs and algorithms to make devices intelligent and efficient for performing tasks that usually require skilled human intelligence. AI involves various subsets, including machine learning (ML), deep learning (DL), conventional neural networks, fuzzy logic, and speech recognition, with unique capabilities and functionalities that can improve the performances of modern medical sciences. Such intelligent systems simplify human intervention in clinical diagnosis, medical imaging, and decisionmaking ability. The Internet of Things (IoT) and Machine Learning (ML) have broad applications in a variety of fields, with healthcare system being one of them. The fast growth and enhancement of the web has resulted in the demise of traditional patient care methods and the replacement of them with electronic healthcare systems. The Internet of Things (IoT) technologies provides healthcare professionals and patients with the most up-to-date medical equipment ecosystem possible. Things connected to the Internet of Things (IoT) and machine learning are useful in a variety of categories, ranging from long-distance monitoring of the contemporary environment to mechanical automation. It is impossible to overstate the significance of digital marketing in the delivery of healthcare services. Doctors and medical experts now have the chance to promote their services to people all over the globe via digital marketing, rather than only in their immediate area. Digital marketing enables health professionals to demonstrate their competence to potential patients, to expand their professional area, and to improve the image of the healthcare industry. Furthermore, medical treatment applications have shown a strong desire in Internet of Items (IoT) things since they are less expensive, easier to comprehend, and enhance the personal happiness of patients. In the development of a wearable and implanted healthcare body network connection, a number of difficulties were encountered, which are detailed in this research. It is presented in this paper that an overall view of IoT and Machine Learning focused on healthcare is given in specifics, and then a list of applications that are used in health care that incorporate Machine Learning (ML) and the Internet of Things (IoT) is provided, along with all problems and difficulties that may arise by using this application or handset for healthcare system, as well as their significant application.

Keywords : healthcare internet of things (iot) machine learning (ml) digital marketing applications wearable devices sensors