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Current big data approaches to clinical questions in otolaryngology
Nicholas A. Rapoport
,
Andrew P. Michelson
,
Matthew A. Shew
Division of Pulmonary & Critical Care Medicine
Institute of Clinical and Translational Sciences (ICTS)
Institute for Informatics, Data Science and Biostatistics (I2DB)
Center for Applied Health Informatics (CAHI)
Department of Otolaryngology
Brain Tumor Center
Siteman Cancer Center
Research output
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Chapter in Book/Report/Conference proceeding
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Keyphrases
Otolaryngology
100%
Big Data Approach
100%
Big Data
80%
Healthcare
40%
Health Care Delivery
40%
Administrative Database
40%
Artificial Intelligence
40%
Data Science
40%
Clinical Registry
40%
Computed Tomography
20%
Personalized Medicine
20%
Electrophysiologic
20%
Precision Medicine
20%
Electronic Health Record System
20%
Health Care Costs
20%
Full Potential
20%
Prediction Model
20%
Health Informatics
20%
Clinical Decision-making
20%
Large Database
20%
Omics
20%
Genomics-proteomics
20%
Healthcare Data
20%
Health Research
20%
Prescription Drug Misuse
20%
Patient Encounter
20%
Adherence to Guidelines
20%
Source Data
20%
Digital Healthcare
20%
Big Data Era
20%
Healthcare Adherence
20%
Novel Innovation
20%
Blossoms
20%
Drug Trends
20%
Health Wearables
20%
Unorganized Data
20%
Big Data Tools
20%
Healthcare Digitalization
20%
Heterogenous Data
20%
Medicine and Dentistry
Otorhinolaryngology
100%
Clinician
40%
Personalized Medicine
40%
Artificial Intelligence
40%
Electronic Patient Record
20%
Health Care Cost
20%
Magnetic Resonance Imaging
20%
Drug Use
20%
Tamsulosin
20%
Clinical Decision Making
20%
Health Informatics
20%
Prescription Drug
20%
Proteomics
20%
Digitalization
20%
X-Ray Computed Tomography
20%