Группа авторов

Handbook on Intelligent Healthcare Analytics


Скачать книгу

not impossible, is difficult to overcome the problems arising from several subject matters that they learn. To elaborate, they have to know what it is called. Third, there are various prospects and points of view which include aggregation to provide a coherent view. Last, professionals create abstract concepts and shortcuts for which they cannot communicate. The area of information technology was created some 25 years ago to address such problems, and the role of the knowledge engineer was born. Since then, computer engineers have developed a variety of principles, methods, and tools that have improved the acquisition, use, and implementation of knowledge considerably.

      Intelligence engineers make the more efficient and less bogus use of dedicated computational tools for the acquisition, simulation, and handling of intelligence. PC PACK is a versatile compilation of this programmed, commercially available as a package of knowledge technology tools that are designed to be tested on a wide range of projects. The aim is to consider the key characteristics of the domain. The method simulates how anyone should label a text page with different colors such as green for suggestions and yellow for attributes. The labeled text would immediately be placed in the PCPACK database to be applied to all other resources when the user has highlighted a document. The MOKA and Popular KADS Methodologies are supported by the CFPACK. It is also fully compliant with information engineering approaches and techniques. The CFPACK is a software suite that includes the following

      1 (i) Protocol tool: It enables the discovery, recognition, and definition of interview transcripts, conclusions, and documentation that may be included in the knowledge base.

      2 (ii) Ladder Tool: This allows hierarchies of knowledge elements such as meanings, features, procedures, and specifications to be developed.

      3 (iii) Chart Tool: This allows users to build mobile networks of connections between data elements, such as process maps, maps of ideas, and cutting-edge diagrams.

      4 (iv) Matrix Tool: This allows grids that show the connection and attributes of the elements to be developed and edited.

      5 (v) Annotation tools: This facilitates the creation of sophisticated HTML annotations, with links to other sites and other knowledge templates automatically generated in the CFPACK.

      6 (vi) Tool publisher: This allows the creation from a knowledge base of a website or some other information resource using a model-driven approach to optimize re-usability. MOKA, CommonKADS, and the 47-step protocol provide approaches to run a project from beginning to completion, as well as maintaining best practice.

      A knowledge-based framework is a system that utilizes AI tools in problem-solving systems to assist human decision-making, understanding, and intervention.

      There are two core components of the KBSs:

       • Information base (consists of a collection of details and a set of laws, structures, or procedures).

       • Inference engine (Responsible for the extension of the information base to the issue at hand).

      In contrast to human expertise, there are pros and cons to utilizing KBSs.

      1.5.1 What is KBE?

      It starts with a discussion about what KBE is in this book and begins with a simple definition: Knowledge-based Engineering (KBE) uses the knowledge of product and operation, which was collected and retained in specific software applications, to enable its direct usage and reuse in the development of new products and variants. KBE’s implementation consists of applying a specific class of computing tools, called the KBE systems, which enable engineers to acquire and reuse engineering knowledge using methods and methodologies. The name of the KBE architecture is derived from the mixture of KBS and engineering, which are one of the major outcomes of AI. In the 1970s, KBE systems demonstrate the advancement of the KBS by applying the special engineering industry requirements. KBE systems combine KBS rule-based logic technologies with engineering data analysis and geometry like CAD.

      It will be useful at this stage to quickly clarify what we refer to as information and how we use this term to describe concepts other than data and evidence. Both terms are sometimes misused in the traditional spoken language; truth and knowledge are often interchangeably used. The hierarchy of data and intellect (and knowledge) is the subject of long-term disputes between epistemologists and IT experts. Since this subject goes well beyond the scope of this chapter, this is our definition of data. Data are objects that have no meaning before they are put in form like symbols, statistics, digits, and indications. The information consists of important processed data. The context in which the data are collected gives it meaning, importance, and intent. Human and electronic information can be collected, shared, and processed. The knowledge is encrypted by code, normally organized in a structure or size, and stored in hard or soft media to accomplish this. Awareness is the condition of information and awareness processing, which requires the chance to act.