Changes

<translate>Now let us assume, for example, that the population sample <math>n</math>, to which our good patient Mary Poppins belongs, is a category of subjects aged 20 to 70. We also assume that in this population we have those who present the elements belonging to the data set <math>D=\{\delta_1,.....\delta_n\}</math> which correspond to the laboratory tests mentioned above and precisa in '[[The logic of classical language]]'</translate>.

<translate>Now let us assume, for example, that the population sample <math>n</math>, to which our good patient Mary Poppins belongs, is a category of subjects aged 20 to 70. We also assume that in this population we have those who present the elements belonging to the data set <math>D=\{\delta_1,.....\delta_n\}</math> which correspond to the laboratory tests mentioned above and precisa in '[[The logic of classical language]]'</translate>.

Let us suppose that in a sample of 10,000 subjects from 20 to 70 we will have an incidence of 30 subjects <math>p(D)=0.003</math> showing clinical signs <math>\delta_1</math> and <math>\delta_4

<translate>Let us suppose that in a sample of 10,000 subjects from 20 to 70 we will have an incidence of 30 subjects <math>p(D)=0.003</math> showing clinical signs <math>\delta_1</math> and <math>\delta_4

</math>. We preferred to use these reports for the demonstration of the probabilistic process because in the literature the data regarding clinical signs and symptoms for Temporomandibular Disorders have too wide a variation as well as too high an incidence in our opinion.<ref name=":2">{{Cite book  

</math></translate>. <translate>We preferred to use these reports for the demonstration of the probabilistic process because in the literature the data regarding clinical signs and symptoms for Temporomandibular Disorders have too wide a variation as well as too high an incidence in our opinion</translate>.<ref name=":2">{{Cite book  

  | autore = Pantoja LLQ

  | autore = Pantoja LLQ

  | autore2 = De Toledo IP

  | autore2 = De Toledo IP

An example of sample partition with presumed probability in which TMJ degeneration (Deg.TMJ) occurs in conjunction with Temporomandibular Disorders (TMDs) would be the following:

<translate>An example of a partition with presumed probability in which TMJ degeneration (Deg.TMJ) occurs in conjunction with Temporomandibular Disorders (TMDs) would be the following</translate>:

{|

{|

|+

|+

|<math>P(D| Deg.TMJ  \cap TMDs)=0.95  \qquad \qquad \; </math>

|<math>P(D| Deg.TMJ  \cap TMDs)=0.95  \qquad \qquad \; </math>

|

|

|where

|<translate>where</translate>

|

|

|

|

|<math>P(D| Deg.TMJ \cap noTMDs)=0.3  \qquad \qquad  \quad </math>

|<math>P(D| Deg.TMJ \cap noTMDs)=0.3  \qquad \qquad  \quad </math>

|

|

|where

|<translate>where</translate>

|

|

|

|

|<math>P(D| no Deg.TMJ  \cap TMDs)=0.199  \qquad \qquad \; </math>

|<math>P(D| no Deg.TMJ  \cap TMDs)=0.199  \qquad \qquad \; </math>

|

|

|where

|<translate>where</translate>

|

|

|

|

|<math>P(D| noDeg.TMJ  \cap noTMDs)=0.001  \qquad \qquad \;</math>

|<math>P(D| noDeg.TMJ  \cap noTMDs)=0.001  \qquad \qquad \;</math>

|

|

|where

|<translate>where</translate>

|

|

|

|

*

*

{{q2|A homogeneous partition provides what we are used to calling Differential Diagnosis.|}}

{{q2|<translate>A homogeneous partition provides what we are used to calling Differential Diagnosis</translate>.|}}

====Clinical situations====

====<translate>Clinical situations</translate>====

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.

<translate>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></translate>. <translate>Given the aforementioned partition of the reference class, we have the following clinical situations</translate>:

*Mary Poppins <math>\in</math> degeneration of the temporomandibular joint <math>\cap</math>  Temporomandibular Disorders

*<translate>Mary Poppins <math>\in</math> degeneration of the temporomandibular joint <math>\cap</math>  Temporomandibular Disorders</translate>

*Mary Poppins <math>\in</math> degeneration of the temporomandibular joint <math>\cap</math> no Temporomandibular Disorders

*<translate>Mary Poppins <math>\in</math> degeneration of the temporomandibular joint <math>\cap</math> no Temporomandibular Disorders</translate>

*Mary Poppins <math>\in</math> no degeneration of the temporomandibular joint <math>\cap</math> Temporomandibular Disorders

*<translate>Mary Poppins <math>\in</math> no degeneration of the temporomandibular joint <math>\cap</math> Temporomandibular Disorders</translate>

*Mary Poppins <math>\in</math> no degeneration of the temporomandibular joint <math>\cap</math> no Temporomandibular Disorders.

*<translate>Mary Poppins <math>\in</math> no degeneration of the temporomandibular joint <math>\cap</math> no Temporomandibular Disorders</translate>

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>.  

<translate>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></translate>.  

In general, we can refer to a logical process in which we examine the following elements:

<translate>In general, we can refer to a logical process in which we examine the following elements</translate>:

*an individual: <math>a</math>

*an individual: <math>a</math>