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Machine Learning Approaches to Medical Decision Making
Konstantinos Veropoulos
School of Computer Science, Electrical and Electronic Engineering and Engineering Maths
Research output
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Other contribution
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PhD thesis (not Bristol)
Overview
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Dive into the research topics of 'Machine Learning Approaches to Medical Decision Making'. Together they form a unique fingerprint.
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Computer Science
Decision-Making
100%
Machine Learning Approach
100%
Diagnosis
33%
Identification
33%
Support Vector Machine
33%
Classification Method
33%
Computing
33%
Image Classification
33%
Generalization Performance
33%
Application
16%
Preliminary Investigation
16%
Complexity
16%
Accuracy
16%
Detection
16%
Classification Task
16%
Classification
16%
Machine Learning
16%
Collected Data
16%
Artificial Neural Network
16%
Image Processing Technique
16%
Learning Method
16%
Large Data Set
16%
Medical Application
16%
Medical Imaging
16%
Underlying Algorithm
16%
Complex Task
16%
World Health Organization
16%
Medicine and Dentistry
Learning
100%
Medical Decision Making
100%
Development
50%
Smear
50%
Tuberculosis
50%
Mycobacterium Tuberculosis
50%
Diagnosis
33%
Selectivity
33%
Image Analysis
33%
Patient
16%
Infection
16%
Accuracy
16%
Diseases
16%
Adult
16%
Screening
16%
Bacterium
16%
Rhodamine
16%
Diagnostic Imaging
16%
Image Analysis (Medical Imaging)
16%
Physics
Image Analysis
100%
Machine Learning
100%
Bacillus
50%
Performance
33%
Utilization
33%
Images
33%
Diagnosis
33%
Technology
16%
Algorithms
16%
Image Processing
16%
Identifying
16%
Detection
16%
Selectivity
16%
Artificial Neural Network
16%
Colour
16%
Bacteria
16%
Classification Systems
16%
Rhodamine
16%
Neuroscience
Medical Decision Making
100%
Tuberculosis
50%
Tubercle
50%
Support Vector Machine
33%
Image Processing
16%
Artificial Neural Network
16%
Pharmacology, Toxicology and Pharmaceutical Science
Tuberculosis
50%
Mycobacterium Tuberculosis
50%
Auramine
33%
Diseases
16%
Infection
16%
Bacterium
16%
Rhodamine
16%
Tums
16%