Discussion – Data Mining
Discussion – Data Mining.
Module 6: Discussion – Data Mining
In DB6 we will explore data mining. Start by reading the attached article:
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Order Paper NowDrugmakers Turn to Data Mining to Avoid Expensive, Lengthy Drug Trials – WSJ.pdf
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Relying on techniques and technologies from database management, statistics, and machine learning, specialists in data mining seek to better understand how to process and draw conclusions from vast amounts of information. How can data mining be used by pharmaceutical companies, CROs and marketers in lieu of conducting a costly clinical trial?
In addition, you must also do your own research and provide references for both in your initial post.
Initial Post
1. 15 points (2 ways data mining may “substitute” for an actual clinical trial)
2. 7.5 points (1 pro of data mining)
3. 7.5 points (1 con of data mining)
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