Microcomputer application of Bayesean probability testing for the identification of bacteria

Jilly, Bernard

doi:10.1016/0020-7101(88)90047-5

Cited by 5 publications

(5 citation statements)

References 9 publications

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“…An alternative and less expensive (but admittedly inexact) approach to minimize the frequency of alloimmunization is simply to employ racial matching alone. In a model based on the reported frequencies of the C, E, Fy", K, and Jkb antigens in blacks and whites and using a sequentially iterated a priori probability [30], we have calculated that the likelihood of donorhecipient compatibility for these antigens is approximately 33% from an all black donor population, 3% from a typical urban donor pool consisting of 90% whites and 10% black, and 1% from an all white donor group [27].…”

Section: Transfusion Support Of Scd Patientsmentioning

confidence: 99%

Problems of chronic transfusion in sickle cell disease

Orlina

Sosler

Koshy

1991

J of Clinical Apheresis

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Section: Transfusion Support Of Scd Patientsmentioning

confidence: 99%

Problems of chronic transfusion in sickle cell disease

Orlina

Sosler

Koshy

1991

J of Clinical Apheresis

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“…Bayesian categorization has often been applied to automated medical diagnosis (e.g., de Dombal, Leaper, Staniland, McCann, & Horracks, 1972;Jilly, 1988;Wiener, Gabbai, & Jaffe, 1987;Willcox, Lapage, Bascomb, & Curtis, 1973). When coupled with an extensive database, it has been reported to classify disorders with an accuracy exceeding that of a physician (de Dombal, 1975).…”

Section: Discussionmentioning

confidence: 99%

An adaptive psychophysical method for subject classification

Cobo-Lewis

1997

Perception & Psychophysics

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In psychophysical experiments, one's goal is usually to measure some continuous parameter hypothesized to determine the statistical properties of a subject's responses. Methods are well developed that adaptively manipulate stimulus characteristics in such a way that the reliability of the parameter estimate is maximized, However, such methods are inapplicable in situations in which the goal is to assign subjects to discrete categories, rather than to measure a continuous parameter, This paper introduces a technique that is directly applicable to efficient categorization and that adaptively manipulates stimulus characteristics in such a way that the information obtained from each trial is maximized. This technique is based on the principle of minimum estimated expected entropy, whereby stimulus parameters on each trial are chosen in order to minimize the estimated expected entropy of the a posteriori probability distribution that expresses how likely a subject is to belong to each of a group of mutually exclusive categories. A sample implementation of the technique-the classification of infant subjects according to their audiograms-is then described and evaluated via computer simulation.

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“…The most common phenotype (for the five antigens) in the three donor populations listed above were used for determining the probabilities of matching the phenotype of donor and recipient. These probabilities were calculated using the conditional probability of any given event [9].…”

Section: Methodsmentioning

confidence: 99%

“…The frequencies of these five antigens were used in a sequentially iterated a priori probability model [9] to calculate the most common phenotype in white, black, and urban populations. The most common phenotype (for the five antigens) in the three donor populations listed above were used for determining the probabilities of matching the phenotype of donor and recipient.…”

Section: Methodsmentioning

confidence: 99%

A simple, practical model for reducing alloimmunization in patients with sickle cell disease

et al. 1993

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Patients with sickle cell disease (SCD) form immune alloantibodies more frequently than other transfused populations because red cells (RBCs) from white donors (with a higher incidence of certain Rh, Duffy, Kell, and Kidd blood group antigens) are transfused to black patients often lacking these antigens. We propose a model to reduce alloimmunization in patients with SCD by providing them with blood from only black random donors. Rationale is shown by examining calculations based on the phenotype E-, C-, Fy(a-), K-, and Jk(b-). There is a 7% probability that this phenotype belongs to a white donor, while there is a 93% probability that this phenotype belongs to a black donor. The probability of selecting blood from a black donor identical with the above phenotype for black recipients from an all black population and from a typical urban blood inventory population (90% white, 10% black) is 1/4 and 1/33, respectively. Therefore, an 8-fold greater chance of selecting antigen non-identical blood occurs if blood is obtained from a typical urban donor population as compared to a black population. Based on these calculations, alloimmunization can be reduced prospectively in patients with SCD by meeting their transfusion requirements with blood selected from random black blood donors.

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Microcomputer application of Bayesean probability testing for the identification of bacteria

Cited by 5 publications

References 9 publications

Problems of chronic transfusion in sickle cell disease

Problems of chronic transfusion in sickle cell disease

An adaptive psychophysical method for subject classification

A simple, practical model for reducing alloimmunization in patients with sickle cell disease

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