🧠 Sepsis Risk Prediction

This project focuses on predicting sepsis risk using ICU patient data from the MIMIC-IV dataset.

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📌 Overview

Currently, the project is in the data preprocessing phase, where raw clinical data is being transformed into a structured format suitable for machine learning.

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📊 Data Used

• Patient demographics
• Hospital admissions
• ICU stays
• Diagnosis codes (for sepsis labeling)
• Vital signs from chart events

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⚙️ Current Progress

• Extracted vital signs from raw ICU event data
• Generated sepsis labels using ICD codes
• Merged multiple tables into a single dataset
• Handling missing values and sparse time-series data