Advancing Healthcare Through Data Science Techniques for Comprehensive Analysis and Visualization of Healthcare Data

Abstract

As an interdisciplinary field, data science uses scientific techniques, algorithms, and methodologies to extract knowledge from various kinds of data. In order to better understand the relationship between data science and healthcare, this study focuses on the analysis and visualization of healthcare data. Data analysis in healthcare involves using statistical techniques and algorithms to identify patterns, trends, and relationships within the data. This can help healthcare organizations and researchers understand the effectiveness of treatments, identify risk factors for diseases, and improve patient outcomes. Visualization is the process of representing data in a visual or graphical format, such as charts, graphs, and maps. It helps in understanding complex data sets, identifying patterns, and communicating insights effectively. In healthcare data analysis, visualization techniques are used to present the findings and results in a visually appealing and understandable manner.