Editor, Editors, USER, admin, Bureaucrats, Check users, dev, editor, founder, Interface administrators, oversight, Suppressors, Administrators, translator
10,784
edits
Difference between revisions of "3° Clinical case: Meningioma"
no edit summary
| Line 1: | Line 1: | ||
{{main menu}} | {{main menu}} | ||
== Riassunto == | |||
[[File:Meningioma 4 by Gianni Frisardi.jpeg|left|300x300px]] | [[File:Meningioma 4 by Gianni Frisardi.jpeg|left|300x300px]] | ||
As anticipated in the introductory chapter 'Occlusion and posture', the greatest danger in medical science is to underestimate the vast range of neuromotor responses that are modulated by as many indeterministic biophysical effects and to build clinical axioms on them. This induces the clinician into a deterministic mindset where the axioms are a certainty but, as will be seen during the implementation of Masticationpedia, this language logic model should leave room for a quantum-like language logic where one does not try to limit the uncertainty error with Bayesan statistical models but accept the limit of the probabilistic uncertainty. Following the first approach (classical model), a subject who reports chewing disorders related to a postural disorder is 99.9% (t-student, P-value, etc.) affected by malocclusion while following a quantum-like approach one wonders what is the 'state' of this subject's system beyond the clinical conclusion that it is and will always remain a probabilistic event. As we will see, this innovative quantum-like approach would speed up the diagnostic finalization. | As anticipated in the introductory chapter 'Occlusion and posture', the greatest danger in medical science is to underestimate the vast range of neuromotor responses that are modulated by as many indeterministic biophysical effects and to build clinical axioms on them. This induces the clinician into a deterministic mindset where the axioms are a certainty but, as will be seen during the implementation of Masticationpedia, this language logic model should leave room for a quantum-like language logic where one does not try to limit the uncertainty error with Bayesan statistical models but accept the limit of the probabilistic uncertainty. Following the first approach (classical model), a subject who reports chewing disorders related to a postural disorder is 99.9% (t-student, P-value, etc.) affected by malocclusion while following a quantum-like approach one wonders what is the 'state' of this subject's system beyond the clinical conclusion that it is and will always remain a probabilistic event. As we will see, this innovative quantum-like approach would speed up the diagnostic finalization. | ||
| Line 9: | Line 10: | ||
| autore2 = Flavio Frisardi | | autore2 = Flavio Frisardi | ||
}} | }} | ||
===Introduction=== | ===Introduction=== | ||