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F J Díez

Publications and source records attributed to F J Díez.

3 recordsLinked to original sources

NasoNet, modeling the spread of nasopharyngeal cancer with networks of probabilistic events in discrete time.

The spread of cancer is a non-deterministic dynamic process. As a consequence, the design of an assistant system for the diagnosis and prognosis of the extent of a cancer should be based on a representation method that deals with both uncertainty and time. The ultimate goal is to know the stage of development of a cancer in a patient before selecting the appropriate treatment. A network of probabilistic events in discrete time (NPEDT) is a type of Bayesian network for temporal reasoning that models the causal mechanisms associated with the time evolution of a process. This paper describes NasoNet, a system that applies NPEDTs to the diagnosis and prognosis of nasopharyngeal cancer. We have made use of temporal noisy gates to model the dynamic causal interactions that take place in the domain. The methodology we describe is general enough to be applied to any other type of cancer.

Artificial Intelligence↗

DIAVAL, a Bayesian expert system for echocardiography.

DIAVAL is an expert system for the diagnosis of heart diseases, including several kinds of data, mainly from echocardiography. The first part of this paper is devoted to the causal probabilistic model which constitutes the knowledge base of the expert system in the form of a Bayesian network, emphasizing the importance of the OR gate. The second part deals with the process of diagnosis, which consists of computing the a posteriori probabilities, selecting the most probable and most relevant diagnoses, and generating a written report. It also describes the results of the evaluation of the program.

Artificial Intelligence↗

[Ethiology and pathology of low birth weight infants in our hospital (author's transl)].

A retrospective study on 834 newborns of low birth weight, 2,500 grs., or less over a total of 19,869 live newborns during the year 1973 is presented. They are divided into low birth weight compatible with gestational age and low birth weight for gestational age when birth weight is lower than 10th percentile of Lubchenco's chart. Each of these groups is subdivided in three parts: First part refers to coincidence of frequence of different ethiologic factors or causes of low birth weight (maternal, gestational, placental and termination of pregnancy). The second part has its object in the clinical appraisal of the state at birth of these low birth weight newborns (fetal-obstetric evaluation of Velasco-Cándano, neonatal Apgar scoring, respiratory evaluation by Silvermann-Andersen and evaluation of external maturaty according to Usher). Third part of the study relates the morbility-mortality rate, need for admission, presence of congenital anomalies and autopsy findings in each of these groups of low birth weight newborns. Relation among all these estimated parameters is made presenting some conclusions reached.

Apgar Score↗