Skip to main navigation
Skip to search
Skip to main content
Columbia University Home
Help & FAQ
English
Français
Español
Home
Profiles
Research units
Research output
Equipment
Datasets
Projects & Clinical Trials
Activities
Prizes
Courses
Student theses
Search by expertise, name or affiliation
Machine Learning to Optimize Management of Acute Hydrocephalus Patients
Park, Soojin
(PI)
Columbia University
Project
:
Research project
Overview
Fingerprint
Fingerprint
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.
Sort by
Weight
Alphabetically
Medicine and Dentistry
Brain Ventriculitis
100%
Hydrocephalus
100%
Intracranial Pressure
62%
External Ventricular Drain
62%
Cerebrospinal Fluid
37%
Antibiotic Therapy
25%
Adverse Event
25%
Cerebral Hemorrhage
25%
Infection
25%
Diagnosis
12%
Clinical Method
12%
Cerebrospinal Fluid Analysis
12%
Clostridium Difficile Infection
12%
Infection Rate
12%
Foreign Body
12%
Shunting
12%
Antibiotics
12%
Health Care Cost
12%
Neurointensive Care
12%
Early Diagnosis
12%
Neuroscience
Ventriculitis
100%
Hydrocephalus
100%
Intraventricular Hemorrhage
25%
Cerebral Hemorrhage
25%
Clinical Method
12%