Question

1. Data Analytics Applications (15%). We’ve introduced several examples in this course regarding real-life applications that are benefited from data analytics technique. Could you describe one application from public health, business, or education where data analytics can be helpful. It is required that your application has NOT yet been mentioned in any of the slides in this course, including lectures, tutorials, and discussions. Your answers should cover the following aspects:

(a) The motivation behind the application, i.e., why data analytics will be useful? (4%)
(b) Brief description of the data, i.e., what does the data look like? What attributes or

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characteristics do the data have? (4%)

(c) The patterns or information that are expected to be found in this application. (4%)

(d) The name of one possible technique (e.g., clustering, classification, regression, time- series analysis, statistical methods, etc.) that might be used for analyzing the data. Why? (3%)

Answer 1

1. Answer:

(a) The motivation behind the application, i.e., why data analytics will be useful? (4%)

ans: By using digitalization, the apps developed using Data Analytics are helpful as the patient is in range of good networks of hospitals and doctors all the time.

• Different diseases can be found at the very early stages of life and hence, it can lead to the cure of the diseases more early. Hence, the efficient way of treating.
• Clinical operational are most effective even in terms of health care and cost.
• This also helps in Research and development by analyzing the trends, hence, the transmission and the effects can be predicted. And patient can be known if the surgery will be successful or not.

(b) Brief description of the data, i.e., what does the data look like? What attributes or 1 characteristics do the data have? (4%)

ans: The data that needs to be analyzed come from different sources like internal sources, external sources, etc.Internal sources include electronic health records, clinical systems, etc.

• External sources include government sources, labs, HM0'.
• Based on these data, the Big Data techniques are applied and data is aggregated to produce reports that consist of the data related to the patient and the analysis done.

(c) The patterns or information that are expected to be found in this application. (4%)

ans: This system helps in providing the analysis done on the patient by using the characteristics of the health and offers in providing cost-effective treatment to the patient.

• Regularly monitoring the human health of a person and displaying the data fetched as per the person using sensors.

(d) The name of one possible technique (e.g., clustering, classification, regression, time- series analysis, statistical methods, etc.) that might be used for analyzing the data. Why? (3%)

ans:Different techniques like clustering, association, classification are used for summing up and visualizing the data received.

• Different medical history are aggregated and classified to receive a particular analysis.