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Predicting Injuries: Are we using the appropriate statistical approach?
Phil Newman
Physiotherapy
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peer-review
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Dive into the research topics of 'Predicting Injuries: Are we using the appropriate statistical approach?'. Together they form a unique fingerprint.
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Keyphrases
Complex Modeling
100%
Predicting Injury
100%
Modeling Techniques
40%
Modeling Method
40%
Prediction Accuracy
40%
Injury Prevention
40%
Reductionist
40%
PubMed
20%
Musculoskeletal Injury
20%
Decision Tree
20%
Dementia
20%
Comparative Analysis
20%
Trauma
20%
Injury Risk
20%
Elite Sport
20%
Classification Accuracy
20%
Pattern Recognition
20%
Support Vector Machine
20%
Model Complex
20%
Predictive Ability
20%
Nave Bayes
20%
Machine Learning System
20%
K-nearest Neighbor (K-NN)
20%
Military Organization
20%
Recursive Partitioning
20%
Model Complexity
20%
Correlation Analysis
20%
Subsequent Events
20%
Identify Risk
20%
Injury Burden
20%
Random Forest
20%
Clinical Utility
20%
Alzheimer
20%
Injury Prediction
20%
Prediction Model
20%
Prevention Efforts
20%
Risk Factors for Injury
20%
Motor Accidents
20%
Time Event
20%
Disease Survival
20%
Linear Complex
20%
Injury Reduction
20%
Accident Prediction
20%
Nonlinear Interaction
20%
Boosting Algorithm
20%
Conditional Logistic Regression Analysis
20%
Reductionist Models
20%
Preventive Countermeasures
20%
Artificial Neural Network Algorithm
20%
Medicine and Dentistry
Injury Prevention
100%
Sensitivity and Specificity
100%
Diseases
50%
Pattern Recognition
50%
Logistic Regression Analysis
50%
Musculoskeletal Injury
50%
Recursive Partitioning
50%
Psychology
Reductionist
100%
Injury Prevention
66%
Neural Network
33%
Regression Analysis
33%
Correlation Analysis
33%
Clinical Utility
33%
Recursive Partitioning
33%
Pattern Recognition
33%
Pharmacology, Toxicology and Pharmaceutical Science
Musculoskeletal Injury
100%
Diseases
100%