Knowledge Engineering for AI in Healthcare: Knowledge Engineering with Big Data Analytics

Artificial Intelligence plays a vital role in healthcare towards the way of providing easy assistance and also understanding the needs of the patients. KE tools and techniques that can be used in the construction of domain models reduce the work of AI towards the field of healthcare. The overall assumption denotes that the engineering process emulates the judgments and the behavior of human in terms of taking decisions. A simple schema method will represent some form of common sense or predefined knowledge which helps to solve the problems. Medical terms aim for clear images and after recognition, the perspective towards the image seems to be a major task. The most critical part of this is to identify the varieties of components that are present in that particular image. Task of analyzing can be achieved by Artificial Intelligence but the overall objective of the AI when ruling towards Knowledge Engineering is by through Computer Vision because this is the subpart of Artificial Intelligence. Deep observations of the images are easily and exactly identified by the AI mentored machines. This may have the chance to overlap with the concept of image processing but in contrary the result of images from the vision developed algorithms are far much better when compared with the image processing where the mechanisms used to enhance and produce the images are in a different level of understanding. The first interpretation indicates that it is the result of converting the images into pixels since being it as a picture element. Instead of considering as a big picture the information coming from those pixels are more important and it can be achieved by using the visionary concepts. The most interactive feature of this computer vision is that the images can be captured in any number of ways such as medical scanners, video sequences and also from the multiple cameras the speculation follows from the artificial system which helps to extract information from the images.