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Órgano Oficial del Instituto de Ciencias de la Salud, Hospital Escuela y Facultad de Medicina-Xalapa

2009, Number 2

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Rev Med UV 2009; 9 (2)

Decision trees as a tool in the medical diagnosis

Barrientos MRE, Cruz RN, Acosta MHG, Rabatte SI, Gogeascoechea TMC, Pavón LP, Blázquez Morales SL

Language: Spanish
References: 7
Page: 19-24
PDF size: 318.67 Kb.


ABSTRACT

In this paper, we evaluate the performance of three of the most representative algorithms for constructing decision trees. Decision trees are a classification model used to in Artificial Intelligence, whose main characteristic is its contribution to visual decision making. In order to test performance of the classification process of decision trees, we use two databases, that contain medical data of real patients. These data correspond to the symptoms that a doctor takes into account for the diagnosis of breast cancer. One of the databases contains 692 cases collected from the observation of one single doctor and another contains 322 cases collected from the observation of 19 specialists. The purpose is to determine whether the decision trees can be a support tool for medical diagnosis.


REFERENCES

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  4. Cross SS y cols. Which Decision Support Technologies Are Appropriate for the Cytodiagnosis of Breast Cancer? Artificial Intelligence Techniques in Breast Cancer Diagnosis and Prognosis, A. Jain, et al., Editors. World Scientific 2000; 265-295.

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