Design Day 2024
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Early Prediction of Length of Stay in Hospitalized Patients with Stroke and Traumatic Brain Injury

Team: Team Dolphin

Project Description:

Stroke is one of the leading causes of morbidity and mortality worldwide, and traumatic brain injury (TBI) is one of the major causes of disability in children and young adults. ICU length of stay (LoS) is considered a primary driver of inpatient costs. The prediction of length of stay in the early phase of hospitalization can inform resource allocation and improve clinical decision-making to ultimately reduce medical spending. The team used patient data available in the first 24 hours of stay to predict length of stay for patients with traumatic brain injury and stroke in the NCCU. The predictive features driving length of stay were also identified and ranked.

Project Photo:

A logo of a clock next to a brain, as we are predicting length of stay (time in hospital) for patients afflicted with neurological injuries.

A logo of a clock next to a brain, as we are predicting length of stay (time in hospital) for patients afflicted with neurological injuries.

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Project Post Summary:

Stroke is one of the leading causes of morbidity and mortality worldwide, and traumatic brain injury (TBI) is one of the major causes of disability in children and young adults. ICU length of stay (LoS) is considered a primary driver of inpatient costs. The prediction of length of stay in the early phase of hospitalization can inform resource allocation and improve clinical decision-making to ultimately reduce medical spending. The team used patient data available in the first 24 hours of stay to predict length of stay for patients with traumatic brain injury and stroke in the NCCU. The predictive features driving length of stay were also identified and ranked. Accurate predictions about length of stay for NCCU can be made using patient data available in the first 24 hours. Considering an average cost of 4000$ per day in the NCCU, cost of stay can be estimated. Support vector machine (SVM) was the best performing model given our data, and the Glasgow Coma Scale (GCS) is the most important feature in predicting patient length of stay.

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    Project Video

    Johns Hopkins Design Day 2022 — Early Prediction of Length of Stay in Hospitalized Patients with Stroke and Traumatic Brain Injury