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Machine Learning to Optimize Management of Acute Hydrocephalus Patients
Park, Soojin
(PI)
Columbia University
Project
:
Research project
Overview
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Medicine and Dentistry
Adverse Event
25%
Antibiotic Therapy
25%
Antibiotics
12%
Brain Ventriculitis
100%
Cerebral Hemorrhage
25%
Cerebrospinal Fluid
37%
Cerebrospinal Fluid Analysis
12%
Clinical Method
12%
Clostridium Difficile Infection
12%
Diagnosis
12%
Early Diagnosis
12%
External Ventricular Drain
62%
Foreign Body
12%
Health Care Cost
12%
Hydrocephalus
100%
Infection
25%
Infection Rate
12%
Intracranial Pressure
62%
Neurointensive Care
12%
Shunting
12%
Neuroscience
Cerebral Hemorrhage
25%
Clinical Method
12%
Hydrocephalus
100%
Intraventricular Hemorrhage
25%
Ventriculitis
100%