Changes

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

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

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

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

*its initial data set <math>D=\{\delta_1,.....\delta_n\}</math>

*<translate>its initial data set</translate> <math>D=\{\delta_1,.....\delta_n\}</math>

*a population sample <math>n</math> to which it belongs,

*<translate>a population sample</translate> <math>n</math> <translate>to which it belongs</translate>,

*a base probability <math>P(D)=0,003</math>

*<translate>a base probability</translate> <math>P(D)=0,003</math>

At this point we should introduce too specialized arguments that would take the reader off the topic but that have an high epistemic importance for which we will try to extract the most described logical thread of the Analysandum/Analysans concept.

<translate>At this point we should introduce too specialized arguments that would take the reader off the topic but that have an high epistemic importance for which we will try to extract the most described logical thread of the Analysandum/Analysans concept</translate>.

The probabilistic-causal analysis of <math>D=\{\delta_1,.....\delta_n\}</math> is then a couple of the following logical forms (Analysandum / Analysans<ref>{{Cite book  

<translate>The probabilistic-causal analysis of <math>D=\{\delta_1,.....\delta_n\}</math> is then a couple of the following logical forms (Analysandum / Analysans</translate><ref>{{Cite book  

  | autore = Westmeyer H

  | autore = Westmeyer H

  | titolo = The diagnostic process as a statistical-causal analysis

  | titolo = The diagnostic process as a statistical-causal analysis

  }}</ref>):

  }}</ref>):

*'''Analysandum''' <math>  = \{P(D),a\}</math>: is a logical form that contains two parameters: ''probability'' <math>P(D)</math> to select a person who has the symptoms and elements belonging to the set <math>D=\{\delta_1,\delta_2,...,\delta_n\}</math>, and the ''generic individual'' <math>a</math> who is prone to those symptoms.

*'''<translate>Analysandum''' <math>  = \{P(D),a\}</math>: is a logical form that contains two parameters: ''probability'' <math>P(D)</math> to select a person who has the symptoms and elements belonging to the set <math>D=\{\delta_1,\delta_2,...,\delta_n\}</math>, and the ''generic individual'' <math>a</math> who is prone to those symptoms</translate>.

*'''Analysan <math>= \{\pi,a,KB\}</math>''': is a logical form that contains three parameters: the ''partition'' <math>\pi</math>, the ''generic individual'' <math>a</math> belonging to the population sample <math>n</math> and ''<math>KB</math> (Knowledge Base)'' which includes a set of <math>n>1</math> statements of conditioned probability.

*'''<translate>Analysan <math>= \{\pi,a,KB\}</math>''': is a logical form that contains three parameters: the ''partition'' <math>\pi</math>, the ''generic individual'' <math>a</math> belonging to the population sample <math>n</math> and ''<math>KB</math> (Knowledge Base)'' which includes a set of <math>n>1</math> statements of conditioned probability</translate>.

For example, it can be concluded that the definitive diagnosis is the following:

<translate>For example, it can be concluded that the definitive diagnosis is the following</translate>:

<math>P(D| Deg.TMJ  \cap TMDs)=0.95</math> - this means that our Mary Poppins is 95% affected by TMDs, since she has a degeneration of the Temporomandibular Joint in addition to the positive data <math>D=\{\delta_1,.....\delta_n\}</math>

<math>P(D| Deg.TMJ  \cap TMDs)=0.95</math> - <translate>this means that our Mary Poppins is 95% affected by TMDs, since she has a degeneration of the Temporomandibular Joint in addition to the positive data</translate> <math>D=\{\delta_1,.....\delta_n\}</math>

==Final considerations==

==Final considerations==