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The logic of probabilistic language (view source)
Revision as of 18:24, 25 August 2021
, 3 years ago→Clinical situations: immagino che il senso fosse questo
These conditional probabilities demonstrate that each of the partition's four subclasses is causally relevant to patient data <math>D=\{\delta_1,.....\delta_n\}</math> in the population sample <math>PO</math>. Given the aforementioned partition of the reference class, we have the following clinical situations.
These conditional probabilities demonstrate that each of the partition's four subclasses is causally relevant to patient data <math>D=\{\delta_1,.....\delta_n\}</math> in the population sample <math>PO</math>. Given the aforementioned partition of the reference class, we have the following clinical situations.
Mary Poppins <math>\in</math> degeneration of the temporomandibular joint <math>\cap</math> Temporomandibular Disorders
*Mary Poppins <math>\in</math> degeneration of the temporomandibular joint <math>\cap</math> Temporomandibular Disorders
Mary Poppins <math>\in</math> degeneration of the temporomandibular joint <math>\cap</math> no Temporomandibular Disorders
*Mary Poppins <math>\in</math> degeneration of the temporomandibular joint <math>\cap</math> no Temporomandibular Disorders
Mary Poppins <math>\in</math> no degeneration of the temporomandibular joint <math>\cap</math> Temporomandibular Disorders
*Mary Poppins <math>\in</math> no degeneration of the temporomandibular joint <math>\cap</math> Temporomandibular Disorders
Mary Poppins <math>\in</math> no degeneration of the temporomandibular joint <math>\cap</math> no Temporomandibular Disorders.
*Mary Poppins <math>\in</math> no degeneration of the temporomandibular joint <math>\cap</math> no Temporomandibular Disorders.
To arrive at the final diagnosis above, we conducted a probabilistic-causal analysis of Mary Poppins' health status whose initial data were <math>D=\{\delta_1,.....\delta_n\}</math>. In general we can indicate a following logical process:
To arrive at the final diagnosis above, we conducted a probabilistic-causal analysis of Mary Poppins' health status whose initial data were <math>D=\{\delta_1,.....\delta_n\}</math>.
In general, we can refer to a logical process in which we examine the following elements:
*an individual: <math>a</math>
*an individual: <math>a</math>
*its initial data set <math>D=\{\delta_1,.....\delta_n\}</math>
*its initial data set <math>D=\{\delta_1,.....\delta_n\}</math>