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human judgment in diagnosing problem behavior in horses using

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1.6 Related System<br />

Although many expert systems have been developed for different applications, few<br />

focused on the area of predict<strong>in</strong>g <strong>behavior</strong> <strong>problem</strong>s <strong>in</strong> <strong>horses</strong> and <strong>human</strong> <strong>judgment</strong>.<br />

However, there are examples of systems that focus on <strong>human</strong> <strong>judgment</strong> <strong>in</strong> cl<strong>in</strong>ical<br />

sett<strong>in</strong>gs us<strong>in</strong>g AI (Artificial Intelligence) applications such as JANNET (Judgment<br />

Analysis via Neural NETwork) done by Bru<strong>in</strong>s & Cooksey (2000). The study was done<br />

<strong>in</strong> order to ga<strong>in</strong> <strong>in</strong>formation on how dental cl<strong>in</strong>icians weigh certa<strong>in</strong> dental and<br />

radiotherapy conditions as important <strong>in</strong>dicators for extraction of teeth <strong>in</strong> patients with<br />

head and neck cancer.<br />

Another example is more towards apply<strong>in</strong>g expert system for educational and<br />

tra<strong>in</strong><strong>in</strong>g purposes such as Anesoft, an expert system for can<strong>in</strong>e anesthesia (Deng, 2000)<br />

and a medical expert system developed for veter<strong>in</strong>ary students fused with a physiological<br />

simulator so that they can practice emergency medic<strong>in</strong>e without endanger<strong>in</strong>g the lives of<br />

real animals (Schlachter 2004). But no expert system for predict<strong>in</strong>g <strong>behavior</strong> <strong>problem</strong>s <strong>in</strong><br />

<strong>horses</strong> was found <strong>in</strong> the literature.<br />

1.7 Limitations of the Study<br />

There are several limitations to the study because it is only focus<strong>in</strong>g on the general<br />

<strong>behavior</strong> <strong>problem</strong>s shown by domesticated <strong>horses</strong>. Therefore the system might not<br />

capture all types of <strong>behavior</strong>s seen <strong>in</strong> <strong>horses</strong>. The system does not take <strong>in</strong>to account the<br />

type or breed of the horse as well as the medical and personal history of the horse. This is<br />

10

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