Real-Time Tracking of Health Parameters Using IOT and Data Logger: Application to COVID-19

There is an alarming upward trend in COVID-19 cases, and the existing healthcare system is unable to cater the day-to-day requirements from testing followed by appropriate patient care. The use of monitoring devices has found the importance of detecting the presence of the virus early. In order to expand the exciting monitoring system, every technocrat needed to come forward and donate his money to this. Authors as a responsible persons deemed it proper to work on the development design of multipurpose all in one reliable device to help the front like warriors in identifying persons with COVID-19 symptoms like temperature, heartbeat, humidity and positioning real time. After putting in an extra effort, author has succeeded in translating my idea into action. A device that is so well-designed and will increase the medical brotherhood effort to continue monitoring patient health parameters using a variety of sensors connected to the Arduino board. The generated data is then transmitted via Wi-Fi module to IOT platform, i.e., ThingSpeak and which can be monitored on devices like desktop, laptop or smartphone. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

AI-based diagnosis techniques for cardiac disease analysis and predictions

Artificial intelligence (AI) has developed speedily since the late 1980s. Enhancement of medical datasets and outcomes in the last twenty years has resulted in unprecedented improvement in AI-based journals. In addition, with the introduction of unparalleled computational efficiency, the accessibility of AI tools has improved. There are two fundamental tools in AI. The first is machine learning (ML), where organized information like electrophysiology (EP), images, and genetic information are broken down and examined. The second is natural language processing (NLP), where unorganized information is scrutinized. These two AI tools have enhanced strategies, calculations, and applications. Different endeavors and new techniques of AI have been utilized for ailments like cardiovascular disease (CVD), neural disorders, and cancer, among others. Presently, a sophisticated deep learning (DL) technique has instigated exceptional growth of AI in clinical imaging diagnostic frameworks. Thus, this chapter presents pivotal and specialized information about AI-based techniques for predicting, diagnosing, and analyzing cardiac diseases. © 2021 Elsevier Inc. All rights reserved.

Opinion Mining of Pandemic Using Machine Learning

COVID-19 or popularly known as coronavirus is an infectious disease originated in Wuhan, China in 2019, and it has been spread all parts of the world. In India, the first case is found in the early 2020. Soon after it, the lockdown was imposed to control the situation. By now, India has become 2nd most affected country by the virus. In this paper, the sentiments of the people on the social media platform during this current pandemic is determined that is opinion mining of the tweets during this pandemic is done, and also, it is tried to find that which machine learning algorithm will fit best for analyzing the sentiments. About 30,000 tweets from Twitter have been analyzed to determine the positivity, negativity or neutrality of people. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.