Induction of Decision Trees and Bayesian Classification Applied to Diagnosis of Sport Injuries

By Igor Zelic, Igor Kononenko, Nada Lavrac, Vanja Vuga. 1997

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Octavio Loyola-González
2. J. Serrão
3. Daniel de Oliveira Capanema
4. A. C. Machado Pereira
5. Thiago Vieira de Souza
6. G. Nassis
7. J. G. Claudino
8. Azal Ahmad Khan

Citations in the corpus

• Black-Box vs. White-Box: Understanding Their Advantages and Weaknesses From a Practical Point of View (2019, background): “drug codes for analyzing chronic patients [116], medical diagnosis [117], diagnosis of sport injuries [118], prediction and sensitivity analysis of bubble dissolution time in 3D selective laser sintering [119], and part-of-speech tagging [120]; among others.”
• Current Approaches to the Use of Artificial Intelligence for Injury Risk Assessment and Performance Prediction in Team Sports: a Systematic Review (2019, methodology): “Naive Bayesian classifier with the fuzzy discretization of numerical attributes was superior to other methods and was estimated as the most appropriate for practical use [78].”