Analysis of Healthcare Systems Using Computational Approaches: Concepts, Methodologies, Tools and Applications

A medical database of different diseases in the healthcare system was essential. The role of computer-supported systems is essential to accurately detect diseases by examining the various components of the human body using radiological or several X-ray, MRI, CT scans, etc. Although various approaches were used to improve healthcare systems. Several soft computing techniques were used to develop new diagnostic systems for any illness with improved performance, like an artificial neural networks approach, fuzzy logic, genetic algorithms etc. Based on disease diagnosis, the accuracy medicine was aimed at developing the powerful pharmaceutical drug system for health solutions. Therefore, it has focused on diverse approaches to artificial intelligence and machine learning in the updated data-centered era of the healthcare system. A vast quantity of health data is routinely collected and hard to obtain any helpful information every day. Currently, BDA offers several services satisfaction with the clinical system to identify censorious diseases at an early stage and deliver appropriate services to all patients on time. Various BDA tools play an essential role in quickly examining several clinical data.