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Closing Case Study 2 Chapter 3

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Closing Case Study 2 Chapter 3
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1) Decision support systems are defined as flexible and interactive IT systems designed to support decision making when the problem isn’t structured. Artificial intelligence technologies work with decision support systems well because artificial intelligence is known as a computer that can program itself, which leads to an expert system. A decision support system can incorporate artificial intelligence technologies such as pattern recognition through the data mining of certain symptoms to determine which ailment a patient has, and how it should be treated. Pattern recognition may also be used to find which tests to perform on a patient’s routine check-up. For example, a black male would be tested for different things (i.e.- sickle-cell anaemia) versus a white female (i.e.- ovarian cysts).
2) I believe that 5% of the patients have chosen to opt out of putting their information in the system in order to maintain their privacy. Many people have medical conditions that they may feel are embarrassing, so they do not want other people to know that they have these. Another reason may be that they are the member of a certain religion where they should not be receiving treatment but are anyway, and don’t want people to know about it. I would opt in for this case because I have the potential to help others as well as myself. I feel as though it would be bad karma to opt out of something that has a very high potential to help another.
3) Some people would find it more acceptable to profile based on ethnicity, gender, and age for topics such as health because it can lead to the positive outcome of a patient receiving treatment or helping another person to get better. Using ethnicity, gender, and age to predict crime can lead to negative annotations toward a specific ethnicity, gender, or race, so it is deemed unacceptable by most people to do so.
4) An expert system used by the Cleveland Clinic could be used to find trends in their

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