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[[File:Spasmo_emimasticatorio_JJ.jpg|alt=|left|250x250px]]

In this chapter, we will discuss the logic of language coupled with mathematical probability. We have seen that [[The logic of classical language|classical logic]] alone is insufficient to determine accurate diagnoses; hence, a conceptual and formal overview is given on why probability can be very useful. Providing illustrations of instances of clinical cases, we will see how the logic of probabilistic language is able to provide us a differential diagnosis in a ‘good enough’ way. The conclusion is that it is possible to demonstrate that even with the addition of probabilistic reasoning alone, it is not possible to determine exact diagnoses, and, so, other enrichments are being sought for our language.  

In this chapter, we will discuss the logic of language coupled with mathematical probability. We have seen that [[The logic of classical language|classical logic]] alone is insufficient to determine accurate diagnoses; hence, a conceptual and formal overview is given on why probability can be very useful. Providing illustrations of instances of clinical cases, we will see how the logic of probabilistic language is able to provide us a differential diagnosis in a ‘good enough’ way.  

 

The conclusion is that it is possible to demonstrate that, even with the addition of probabilistic reasoning alone, it is not possible to determine exact diagnoses, so other enrichments are being sought for our language.  

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==Probabilistic language logic in medicine==

==Probabilistic language logic in medicine==

Every scientific idea (whether in medicine, architecture, engineering, chemistry, or any other subject), when put into practice, is subject to small errors and uncertainties. Mathematics - hrough probability theory and statistical inference - helps precisely control and thereby contain these uncertainties. It must always be considered that in all practical cases, ‘the outcomes also depend on many other factors external to the theory’, whether they be initial and environmental conditions, experimental errors, or something else.  

Every scientific idea (whether in medicine, architecture, engineering, chemistry, or any other subject), when put into practice, is subject to small errors and uncertainties. Mathematics - through probability theory and statistical inference - helps to precisely control and thereby contain these uncertainties. It must always be considered that in all practical cases "the outcomes also depend on many other factors external to the theory", whether they be initial and environmental conditions, experimental errors, or something else.  

All the uncertainties about these factors make the theory–observation relationship a probabilistic one. In the medical approach, there are two types of uncertainty that weigh the most on diagnoses: subjective uncertainty and casuality.<ref>{{Cite book  

All the uncertainties about these factors make the theory–observation relationship a probabilistic one. In the medical approach, there are two types of uncertainty that weigh the most on diagnoses: subjective uncertainty and casuality.<ref>{{Cite book