Abstract
Internet of things enabled wireless sensor networks using fuzzy logic approach is used to collect health metrics of individuals, make real-time analyses, and make efficient therapeutic decisions on Covid-19 cases while remotely monitoring the individuals and reducing the virus's consequences. Symptom data for Covid-19 patients is collected using wearable sensors. Data fusion is performed using a fuzzy logic classifier. Preprocessing and filtering of data to produce a verdict are carried out in data fusion. The data with a possible decision is saved in cloud infrastructure, making it accessible to anyone, including users, medical professionals, and local hospitals. The suggested procedure surpasses other similar methods such as logistic regression, decision tree, naïve bayes, k-nearest neighbor, and support vector machine relating to the accurateness, error rate, F-measure, and ROC area according to experimental results. Complicated decisions in the medical industry could be made more successfully with the support of the suggested technique to predict COVID-19 based on fuzzy logic.
TopIntroduction
The global population has shifted in recent decades, and these are expected to persist. One of the most serious issues for long-term patient care is a lack of the growing demand for healthcare staff and human resources. It is difficult for healthcare institutions worldwide to raise the standard of healthcare and convenience of access to health information while keeping prices low. The COVID-19 pandemic poses a danger to global economic stability. Its quick proliferation has had serious negative consequences for human life. It spreads swiftly from one person to the next, infecting large people. As a result, it's critical to avoid coronavirus spread and watch for signs like high body temperature and breathing difficulties, fatigue, dry cough, headache, pink eye, diarrhea, sore throat, and loss of smell or taste. Because no specific medicine for COVID-19 has been identified, early discovery is critical for controlling and halting the infection's cycle (Ilyas et.al., 2021) Although various medical trials have been employed to diagnose the disease, detection effectiveness has yet to be achieved (Ahamad et.al., 2021).COVID-19 outspreads swiftly among persons in close connection, according to WHO statistics when an individual infected with the virus coughs, sneezes, or talks. As a result, individuals with chronic issues should isolate themselves and only call their medical provider in life-threatening situations (Somasetia et.al. 2020). Because Covid-19 is such a speedy contagious disease and social distance is vital in preventing disease, a clever mechanism to monitor the symptoms of separated individuals without communicating with them is required. The best method to control transmission is to locate suspected cases promptly, do rapid testing, and practice self-quarantine. Monitoring health care providers and others are also important to stop disease transmission (Kumar et.al. 2020).