Exploratory Data Analysis by Employing Statistical and Machine Learning Techniques on Cardio Vascular and Pulmonary DisordersIn today’s information age, data acts as a catalyst while the data analysis plays a vital role to empower any sector. Health infor

Abstract

In today’s information age, data acts as a catalyst while the data analysis plays a vital role to empower any sector. Health informatics is an area which is momentous and highly progressive. The statistical information extracted from the data is highly influential in making decisions in various perspectives. Moreover, the Cardio and respiratory disorders are constantly making a huge impact. Although the governments are making their efforts to address this global issue, its prevalence is becoming burdensome. Covid had made the situation disruptive. In this paper, a recent Covid dataset is considered to be the subject for analysis. A detailed analysis has been made on the data and the results are discussed comprehensively. Although the dataset contains data pertaining to various health disorders, the focus of paper is on Cardio vascular and pulmonary data. Various analytical aspects such as Uni variate analysis, Bi variate analysis, Hypothesis testing and Machine Learning are performed. Survival status due to various disease factors also is discussed. In this Artificial Intelligence era, Machine learning and Deep Learning are imperative and authoritative. Few machine learning analysis models are applied on the data and discussed precisely. Finally, how these statistical results could be interpreted are specified.