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Alejandro Rodríguez González, a researcher at the Faculty of Informatics, University of Murcia, has submitted a doctoral thesis studies the application of semantic technologies to the complex differential diagnosis in order to create intelligent diagnostic systems.
Systems based on this technology would allow medical personnel to obtain a complete listing of all existing diagnostic possibilities, including those diseases whose probability is low, saving the usual limitations of the human mind at the time of diagnosis.
This type of process, says the argument would be very useful in the example of triage systems in hospitals, where patient acuity does not always set sufficiently qualified medical personnel.
As innovative aspects, the application of semantic technologies make possible the development of diagnostic procedures based on multilevel inference, where the fact that a disease can be diagnosed with another element is taken into account when making the knowledge representation, allowing more complex diagnostic.
It also would encourage the development of alternative diagnostic processes grounded in the consumption of drugs by the patient as well as new methodologies for evaluating systems for decision support diagnosis.
The research, led by Professors Rafael Valencia, University of Murcia, and Angel Garcia Crespo and Juan Miguel Gomez Berbís, University Carlos III of Madrid, was rated excellent cum laude.
Source: Universidad de Murcia
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