References Basu, R., Archer, N., and Mukherjee, B. (2012). Intelligent decision support in healthcare. Analytics, 33(38):3338. Accessible at: http://analytics-magazine.org/intelligent-decision-support-in-healthcare/.

Question 1 (80 marks) The general concepts of machine learning (ML) and data mining (DM) in a healthcare environment are presented in (Shouval et al., 2014). Read the article carefully. Then, answer all the following questions in your own words. (a) Contrast between supervised and unsupervised learning in ML using suitable examples [20 marks] (b) Figure 1 depicts a Cross-Industry Standard Process for Data Mining (CRISP-DM). Explain each stage in the CRISP-DM. Relate it to the description in (Shouval et al., 2014) Business Understanding Data Understanding Data preparation Modelling Modelling Modelling Figure 1: Data mining process as recommended by CRISP-DM - adopted from Unit 3, pp.16 of the course material [20 marks] Question 1 (80 marks) The general concepts of machine learning (ML) and data mining (DM) in a healthcare environment are presented in (Shouval et al., 2014). Read the article carefully. Then, answer all the following questions in your own words. (a) Contrast between supervised and unsupervised learning in ML using suitable examples [20 marks] (b) Figure 1 depicts a Cross-Industry Standard Process for Data Mining (CRISP-DM). Explain each stage in the CRISP-DM. Relate it to the description in (Shouval et al., 2014) Business Understanding Data Understanding Data preparation Modelling Modelling Modelling Figure 1: Data mining process as recommended by CRISP-DM - adopted from Unit 3, pp.16 of the course material [20 marks]