MIMIC-IV Lab Events Subset - Preprocessed for Data Normalization Analysis.xlsx

This file contains a preprocessed subset of the MIMIC-IV dataset (Medical Information Mart for Intensive Care, Version IV), specifically focusing on laboratory event data related to glucose levels. It has been curated and processed for research on data normalization and integration within Clinical Decision Support Systems (CDSS) to improve Human-Computer Interaction (HCI) elements.

The dataset includes the following key features:

• Raw Lab Data: Original values of glucose levels as recorded in the clinical setting.
• Normalized Data: Glucose levels transformed into a standardized range for comparison and analysis.
• Demographic Information: Includes patient age and gender to support subgroup analyses.

This data has been used to analyze the impact of normalization and integration techniques on improving data accuracy and usability in CDSS environments. The file is provided as part of ongoing research on enhancing clinical decision-making and user interaction in healthcare systems.

Key Applications:

• Research on the effects of data normalization on clinical outcomes.
• Study of demographic variations in laboratory values to support personalized healthcare.
• Exploration of data integration and its role in reducing cognitive load in CDSS.

Data Source:

The data originates from the publicly available MIMIC-IV database, developed and maintained by the Massachusetts Institute of Technology (MIT). Proper ethical guidelines for accessing and preprocessing the dataset have been followed.

File Content:

• Filename: MIMIC-IV_LabEvents_Subset_Normalization.xlsx
• File Format: Microsoft Excel
• Number of Rows: 100 samples for demonstration purposes.
• Fields Included: Patient ID, Age, Gender, Raw Glucose Value, Normalized Glucose Value, and additional derived statistics.