Cognitive Engineering for Next Generation Computing. Группа авторов

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СКАЧАТЬ should be a transfer of knowledge by the domain experts to the junior trainees through the training and mentoring process.

      4 In the process of decision making a large amount of data is analyzed, several options and solutions to a problem are obtained.

      To develop the cognitive application the first step is to define the objective, which requires understanding the types of problems the application can solve. It also has to consider the different types of users using the application. The most important thing is that it also has to take care of the types of issues the user is interested in and also what they are looking for and need to know. The next step is to define the domain, it is important because we need to identify and also assess the different data sources that match to build the application. Defining the domain helps to identify the subject experts.

In training the cognitive application the domain helps in identifying the subject experts that will be useful in training the cognitive application. Table 1.2 gives the examples of the Cognitive application domains.

      Characterizing Questions and Exploring Insights

      The cognitive applications that are developed in the early stages for customer engagement can be divided into two types:

      1 Discovery and Exploration

      2 Using sophisticated question and response mechanisms to

      3 respond to inquiries as part of continuous exchange with the client.

The cognitive framework can build a relationship between questions, answers, and information to enable the client to better grasp the topic at a more profound level. The inquiries clients will pose can be set in two general classifications (Table 1.3):

      1 Question–Response pairs: The responses to the inquiries can be unearthed in an information resource. There might be clashing responses inside the information resources, and the framework will break down the choices to furnish various reactions with related certainty levels.

      2 Anticipatory analytics: The client takes part in an exchange with the cognitive application. The client may pose a few inquiries however not all the inquiries. The subjective application will utilize prescient models to envision the client’s next inquiry or arrangement of inquiries.

Table 1.2 Examples of cognitive application domains [11].

S. no.	Domain	Data requirements to be selected	Subject experts
1	Medical	Electronic medical health records, International classification of diseases (ICD) Codes, Research journals	Experienced specialists, doctors, and specialists.
2	Airplane Manufacturing and Maintenance	List of complete parts, spare parts inventory and maintenance records of each plane	Skilled and qualified technicians, preservation staff, and trained and experienced pilots. These personsare capable of anticipating the failures and fix them
3	Trade	Client and product information	Skilled and qualified Salespersons

Table 1.3 Question–response pairs for different types of users.

S. no.	Question	Answer
1	Health Consumer: What Did You Say about a morcellator	A morcellator is a tool that consists of a spinning blade that is utilized to destroy a fibroid through an opening on a female’s stomach. The power and speed of the tool may make cell particles from the fibroid become scattered in the stomach.
2	Gynecologist: What are the consequences and advantages of utilizing a morcellator for careful treatment of fibroids?	Consequences incorporate likely spread of an occult uterine sarcoma. Advantages incorporate little incisions for the patient, lowblood loss, and faster healing and recovery.

Along with the things we discussed above the following requirements are also needed to build the application

        Creating and Refining the Corpora

        Preparing the Data

        Ingesting the Data

        Refining and Expanding the Corpora

        Governance of Data

        Training and Testing

      To understand the way to build a cognitive application here we discuss with the health care application.

1.13 Building a Health Care Application

      To develop a cognitive health care application, the system has to incorporate differing associations, where each association commits to growth, funding, service provision, products, and procedures. The listing shows the various group of people required for the system.

      1 Patients

      2 Health care Practitioners

      3 Pharmaceutical Companies

      4 Players

      5 Governance bodies

      6 Data service providers.

      1.13.1 Healthcare Ecosystem Constituents

The Healthcare environment as shown in Figure 1.12 incorporates the information utilized by various constituents and these are:

Figure 1.12 Healthcare ecosystem.

      1 Patients: With family backgrounds and research behaviors, people participation in the health care ecosystem creates individually identifiable results Information, which may be anonymously aggregated, if allowed; direct treatment of people with identical qualities.

      2 Providers: Information СКАЧАТЬ