All Data Inclusive, Deep Learning Models to Predict Critical Events in the Medical Information Mart for Intensive Care III Database (MIMIC III)

Understand

Intensive care clinicians need reliable clinical practice tools to preempt unexpected critical events that might harm their patients in intensive care units (ICU), to pre-plan timely interventions, and to keep the patient's family well informed.

• The conventional statistical models are built by curating only a limited number of key variables, which means a vast unknown amount of potentially precious data remains unused.
• Deep learning models (DLMs) can be leveraged to learn from large complex datasets and construct predictive clinical tools.
• This retrospective study was performed using 42,818 hospital admissions involving 35,348 patients, which is a subset of the MIMIC-III dataset.