21 lines
1.1 KiB
Text
21 lines
1.1 KiB
Text
# Chapter 3
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## Proposed Study Set Up
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Using the Medical Information Mart for Intensive Care (MIMIC) IV
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Database develop and test a machine learning algorithm to determine if
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TSH reflex testing can be further reduced.
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The MIMIC-IV database contains patient records from 2008 to 2019 for
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patients admitted to the critical care units of Beth Israel Deaconess
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Medical Center. It is a common database used for various studies. The
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data will be cleaned and tided to contain various patient demographics,
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and all available laboratory testing for each patient. The exact
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structure of the cleaned data will be determined later. Once cleaned the
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data will be split into a training and testing data set. The training
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data will be used to develop various machine learning algorithms to
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attempt to develop an algorithm that can perform better then the hard
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coded rules in place today. The study will primarily focus on TSH reflex
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testing as this is the most common reflex test used in most
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laboratories. The hypothesis however is that this model could be used
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for many different types of reflex testing in the lab.
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