Enhancing healthcare outcomes through big data and statistical models synergy

Abstract

Big data has become a crucial tool across multiple sectors worldwide. Due to the accumulative data inundation, it is cumbrous for humans to examine the vast amount of data. Therefore, big data along with AI (Artificial Intelligence) techniques are used for solving concerns associated to data storage, accessibility of important data and other aspects of big data. However, data in general can be both structured and unstructured in nature, which often affects the quality and accuracy for data analysis. Therefore, in order to overcome these pitfalls, advancements of AI technologies and big data analytics significantly aids in commendably extracting both structured and unstructured data which ultimately increases quality of the model. Owing to these advantages, big data is used across fields and more especially in healthcare industry, as big data aids in analyzing huge amount of data and offer valuable insights in terms of disease patterns, personalized treatment and ensures in discovering new drugs. Moreover, big data also plays a huge role towards cancer detection. Therefore, this paper focuses on reviewing big data, significance of big data, synergy of AI and big data approaches in healthcare sector. Further, different case studies are discussed in the paper, in addition, applications of big data in healthcare sector is reviewed in the current study for examining the importance of big data in healthcare sector. Eventually, the challenges are identified through the analysis of existing researchers and future recommendations are provided for overcoming the gaps that are intended to create encouraging work in this area.