Correction of the README.md file text

README.md

@@ -4,7 +4,7 @@ Capstone Project Data.
 
 The following text file explains how to obtain the data for the nanodegree project. The project's goal is to predict the time a patient is hospitalized based on the BMI (body mass index) and other additional features extracted from the medical "obesity paradox" previous studies.
 
-We will use the MIMIC-III database to extract the project dataset. The MIMIC-III (‘Medical Information Mart for Intensive Care’) is a large, single-center database comprising information relating to patients admitted to critical care units at a large tertiary care hospital. Data includes vital signs, medications, laboratory measurements, observations and notes charted by care providers, fluid balance, procedure codes, diagnostic codes, imaging reports, hospital length of stay, survival data, and more. Because the database is not open source, it can be access or shared freely; to get access to the database's records, training must be completed, and access has to be requested. The database can be obtained at (https://www.google.com/url?q=https://mimic.physionet.org/&sa=D&ust=1491769209941000&usg=AFQjCNHF2Y_9FzPHejpji9DryoOOfojFyA)
+We will use the MIMIC-III database to extract the project dataset. The MIMIC-III (‘Medical Information Mart for Intensive Care’) is a large, single-center database comprising information relating to patients admitted to critical care units at a large tertiary care hospital. Data includes vital signs, medications, laboratory measurements, observations and notes charted by care providers, fluid balance, procedure codes, diagnostic codes, imaging reports, hospital length of stay, survival data, and more. Because the database is not open source, it can not be access or shared freely; to get access to the database's records, training must be completed, and access has to be requested. The database can be obtained at (https://www.google.com/url?q=https://mimic.physionet.org/&sa=D&ust=1491769209941000&usg=AFQjCNHF2Y_9FzPHejpji9DryoOOfojFyA)
 
 The features and tables’ names that I will use are shown below.