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Predictive Models for Identifying Clinical Deterioration
Amin Naemi
SDU Health Informatics and Technology
The Maersk Mc-Kinney Moller Institute
Research output
:
Thesis
›
Ph.D. thesis
Overview
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Research output
(5)
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Dive into the research topics of 'Predictive Models for Identifying Clinical Deterioration'. Together they form a unique fingerprint.
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Computer Science
Research Question
100%
Predictive Model
100%
Design Research
66%
Interpretability
66%
Scoring System
66%
Machine Learning
66%
Learning System
66%
Formalization
33%
Integrated Model
33%
Time Complexity
33%
Machine Learning Technique
33%
Continuous Monitoring
33%
Real Time Systems
33%
Interdisciplinary Research
33%
Problem Formulation
33%
Clinical Outcome
33%
Ensemble Learning
33%
Adaptive System
33%
Mathematics
Scoring System
100%
Predictive Model
100%
Interpretability
100%
Formalization
50%
Missing Value
50%
Time System
50%
Time Series Analysis
50%
Autoregressive Model
50%
Complex Problem
50%
Time Step
50%
Adaptive System
50%
Nursing and Health Professions
Deterioration
100%
Vital Sign
80%
Scoring System
40%
Length of Stay
40%
Clinical Practice
20%
Clinical Outcome
20%
University Hospital
20%
Systematic Review
20%
Adverse Event
20%
Disease Severity
20%
Time Series Analysis
20%
Public Health Informatics
20%
Step Time
20%
Psychology
Time Series Analysis
100%
Autoregressive Model
100%
Pharmacology, Toxicology and Pharmaceutical Science
Deterioration
100%
Adverse Event
20%
Disease Severity
20%