Update chapter3.qmd

chapter3.qmd

@@ -1,36 +1,3 @@
-# Chapter 3
+# Methods
 
-## Proposed Study Set Up
-
-Using the Medical Information Mart for Intensive Care (MIMIC) IV
-Database develop and test a machine learning algorithm to determine if
-TSH reflex testing can be further reduced.
-
-The MIMIC-IV database contains patient records from 2008 to 2019 for
-patients admitted to the critical care units of Beth Israel Deaconess
-Medical Center. It is a common database used for various studies. The
-data will be cleaned and tided to contain various patient demographics,
-and all available laboratory testing for each patient. The exact
-structure of the cleaned data will be determined later. Once cleaned the
-data will be split into a training and testing data set. The training
-data will be used to develop various machine learning algorithms to
-attempt to develop an algorithm that can perform better then the hard
-coded rules in place today. The study will primarily focus on TSH reflex
-testing as this is the most common reflex test used in most
-laboratories. The hypothesis however is that this model could be used
-for many different types of reflex testing in the lab.
-
-```{r}
-#| include: false
-source(here::here("ML","1-data-exploration.R"))
-```
-
-```{r}
-#| label: tbl-data_summary
-#| tbl-cap: Data Summary Table
-#| echo: false
-
-
-merged_summary_table
-
-```
+## Population and Data