A study and analysis on e-marketing strategy inhealth care using Internet of Things and machinelearning

Artificial intelligence (AI) is a modern approach based on computer science that developsprograms and algorithms to make devices intelligent and efficient for performing tasks that usuallyrequire skilled human intelligence. AI involves various subsets, including machine learning (ML),deep learning (DL), conventional neural networks, fuzzy logic, and speech recognition, with uniquecapabilities and functionalities that can improve the performances of modern medical sciences.Such intelligent systems simplify human intervention in clinical diagnosis, medical imaging, anddecisionmaking ability. The Internet of Things (IoT) and Machine Learning (ML) have broadapplications in a variety of fields, with healthcare system being one of them. The fast growth andenhancement of the web has resulted in the demise of traditional patient care methods and thereplacement of them with electronic healthcare systems. The Internet of Things (IoT) technologiesprovides healthcare professionals and patients with the most up-to-date medical equipmentecosystem possible. Things connected to the Internet of Things (IoT) and machine learning areuseful in a variety of categories, ranging from long-distance monitoring of the contemporaryenvironment to mechanical automation. It is impossible to overstate the significance of digitalmarketing in the delivery of healthcare services. Doctors and medical experts now have the chanceto promote their services to people all over the globe via digital marketing, rather than only in theirimmediate area. Digital marketing enables health professionals to demonstrate their competence topotential patients, to expand their professional area, and to improve the image of the healthcareindustry. Furthermore, medical treatment applications have shown a strong desire in Internet ofItems (IoT) things since they are less expensive, easier to comprehend, and enhance the personalhappiness of patients. In the development of a wearable and implanted healthcare body networkconnection, a number of difficulties were encountered, which are detailed in this research. It ispresented in this paper that an overall view of IoT and Machine Learning focused on healthcare isgiven in specifics, and then a list of applications that are used in health care that incorporateMachine Learning (ML) and the Internet of Things (IoT) is provided, along with all problems anddifficulties that may arise by using this application or handset for healthcare system, as well as theirsignificant application.

Keywords:

Healthcare , Internet of Things (IOT) , Machine Learning (ML) , Digital marketing , Applications , Wearable devices Sensors ,