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Figure 1, on the other hand, corresponds to the 'CNN' model proposed and it can be seen how the first stage of acquisition is composed of a single node while the 'Machine learning' at the first node, the more incoming variables have the greater the 'Prediction' in exit. As mentioned, it should be taken into account that the first node is of fundamental importance because it already derives from a clinical cognitive process that led the ' <math>\tau</math> Coherence Demarcator' to determine a first-ever choice of field. From the | Figure 1, on the other hand, corresponds to the 'CNN' model proposed and it can be seen how the first stage of acquisition is composed of a single node while the 'Machine learning' at the first node, the more incoming variables have the greater the 'Prediction' in exit. As mentioned, it should be taken into account that the first node is of fundamental importance because it already derives from a clinical cognitive process that led the ' <math>\tau</math> Coherence Demarcator' to determine a first-ever choice of field. From the 'Initialization command', therefore, the neural network evolves in a series of states composed of a large number of nodes and then terminates at a first step of one or two nodes and then reiterates in a subsequent loop of several nodes until ending in the 'last conclusive node (decryption of the code). The initialization process of the first node, the last and the reiteration of the loop is exclusive to the human cognitive process of the clinician and not to a statistical automatism of machine learning, much less 'Hidden' stages. All open and closed loops must be known to the clinician. | ||
For further information on the subject, it is available on Masticationpedia in the chapter '[[An artificially intelligent (or algorithm-enhanced) electronic medical record in orofacial pain]]' | For further information on the subject, it is available on Masticationpedia in the chapter '[[An artificially intelligent (or algorithm-enhanced) electronic medical record in orofacial pain]]' | ||
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In this paragraph it seems necessary to explain the clinical process followed with the support of the 'CNN' following step by step the cognitive queries to the network and the cognitive analysis performed on the data in response from the network. The map has also been shown in figure 4 with links to the network responses that can be viewed for more consistent documentation: | In this paragraph it seems necessary to explain the clinical process followed with the support of the 'CNN' following step by step the cognitive queries to the network and the cognitive analysis performed on the data in response from the network. The map has also been shown in figure 4 with links to the network responses that can be viewed for more consistent documentation: | ||
* ''' | * '''<math>\tau</math> Coherence Demarcator:''' As we have previously described, the first step is a network analysis initialization command that derives, in fact, from a previous cognitive processing of the assertions in the dental context <math>\delta_n</math> and the neurological one <math>\gamma_n</math> to which the ' <math>\tau</math> Coherence Demarcator' gave absolute weight by, effectively, eliminating the dental context <math>\delta_n</math> from the process. From what emerges from the neurological assertions <math>\gamma_n</math> the 'State' of the Trigeminal Nervous System appears unstructured highlighting anomalies of the trigeminal reflexes for which the 'Initialization' command will be the '[https://pubmed.ncbi.nlm.nih.gov/?term=trigeminal+reflex+&size=200 Trigeminal Reflex]' to go and<nowiki/> test the database (Pubmed). | ||
*<nowiki/><nowiki/>'''1<sup>st</sup> loop open:''' This ' | *<nowiki/><nowiki/>'''1<sup>st</sup> loop open:''' This 'Initialization command', therefore, is considered as initial input for the Pubmed database which responds with 2,466 clinical and experimental data available to the clinician. The opening of the first true cognitive analysis is elaborated precisely on the analysis of the first result of the 'CNN' corresponding to 'Trigeminal Reflex'. In this phase we realize that a discrete percentage of data reveal a correspondence between trigeminal reflex abnormalities and demyelination problems, therefore the 1<sup>st</sup> loop open will correspond to: '[https://pubmed.ncbi.nlm.nih.gov/?term=trigeminal+reflex+demyelinating+neuropathy+&size=200 Demyelinating neuropathy]<nowiki>''</nowiki> which will return 14 sensitive data. Behind the choice of this key there is an active and dynamic cognitive process of the clinician. From the assertions in the neurological context, a neuropathic pathology was hypothesized in which the demyelinating aspect should also be co<nowiki/><nowiki/>nsidered. | ||
*'''2<sup>st</sup> loop o'''<nowiki/><nowiki/>'''pen:''' The process continues by focusing in ever greater detail on the keywords that correspond to our electrophysiological anomalous result data, i.e. the latency of the jaw jerk. This input | *'''2<sup>st</sup> loop o'''<nowiki/><nowiki/>'''pen:''' The process continues by focusing in ever greater detail on the keywords that correspond to our electrophysiological anomalous result data, i.e. the latency of the jaw jerk. This input corresponding to '[https://pubmed.ncbi.nlm.nih.gov/?term=trigeminal+reflex+demyelinating+neuropathy+latency Latency]' returns 6 sensitive data on which to process a further iteration of the loop. | ||
*'''3<sup>st</sup> loop open:''' In the statements of the neurological context, an anomaly is also observed in the amplitude of the jaw jerk as well as in latency. This 3<sup>st</sup> open loop | *'''3<sup>st</sup> loop open:''' In the statements of the neurological context, an anomaly is also observed in the amplitude of the jaw jerk as well as in latency. This 3<sup>st</sup> open loop corresponding to '[https://pubmed.ncbi.nlm.nih.gov/?term=trigeminal+reflex+demyelinating+neuropathy+latency+amplitude Amplitude]' returns only 2 data points on which to dwell to decide the keyword to reiterate the loop or definitively close the process. The result shows an article describing the electrophysiological evaluation of cranial neuropathies that was considered of low specific weight for our purposes while the other article highlights some trigeminal methodologies to test latency, amplitude of masticatory muscles including H-reflex . | ||
*'''4<sup>st</sup> loop closed:''' The process, therefore, continues by inserting the algorithmic keyword '[https://pubmed.ncbi.nlm.nih.gov/?term=h+reflex H-reflex] ' which returns 3,701 clinical scientific data. | *'''4<sup>st</sup> loop closed:''' The process, therefore, continues by inserting the algorithmic keyword '[https://pubmed.ncbi.nlm.nih.gov/?term=h+reflex H-reflex] ' which returns 3,701 clinical scientific data. | ||
*'''5<sup>st</sup> loop open:''' The anomalies highlighted were mainly verified on the masseters so it can be deduced that keywords concerning the '[https://pubmed.ncbi.nlm.nih.gov/?term=h+reflex+masseter+muscle&size=200 Masseter muscle]' can be intercepted in the interrogated sample of the 4<sup>st</sup> closed loop, hence the 5<sup>st</sup> open loop which returns 30 data available for the 'CNN' | *'''5<sup>st</sup> loop open:''' The anomalies highlighted were mainly verified on the masseters so it can be deduced that keywords concerning the '[https://pubmed.ncbi.nlm.nih.gov/?term=h+reflex+masseter+muscle&size=200 Masseter muscle]' can be intercepted in the interrogated sample of the 4<sup>st</sup> closed loop, hence the 5<sup>st</sup> open loop which returns 30 data available for the 'CNN' | ||
*'''6<sup>st</sup> loop open:''' We, however, do not know whether the neuropathic damage is localized exclusively on the masseter muscle or also involves the temporal muscle, therefore another algorithmic keyword would be the '[https://pubmed.ncbi.nlm.nih.gov/?term=h+reflex+masseter+muscle+temporal+muscle&size=200 Temporal muscle]' which returns 8 sensitive data. | *'''6<sup>st</sup> loop open:''' We, however, do not know whether the neuropathic damage is localized exclusively on the masseter muscle or also involves the temporal muscle, therefore another algorithmic keyword would be the '[https://pubmed.ncbi.nlm.nih.gov/?term=h+reflex+masseter+muscle+temporal+muscle&size=200 Temporal muscle]' which returns 8 sensitive data. | ||
*'''7<sup>st</sup> loop open:''' | *'''7<sup>st</sup> loop open:''' From a careful analysis of this 7th open loop one wonders if these electrophysiological anomalies can be highlighted in patients with sclerosis and being present in the patient's clinical history, a previous diagnosis of 'Morphea' it was opted to interrogate the 'Network' of a another keyword focused on 'Sclerosis' which gave only one sensitive data '[https://pubmed.ncbi.nlm.nih.gov/31164256/ Heteronymous H reflex in temporal muscle as sign of hyperexcitability in ALS patients] | ||
*'''8<sup>st</sup> loop closed:''' In this single node the clinician could terminate the loop but would not have solved anything because the decoding of the encrypted message has not yet been achieved. It should be noted that the electrophysiological method called 'heteronomous H-reflex' is able to highlight response anomalies from the temporal muscle for which the loop was continued by inserting the following specific keyword, ' [https://pubmed.ncbi.nlm.nih.gov/?term=Temporal+muscle+abnormal+response&size=200 Temporal muscle abnormal response]' which returns 137 data. | *'''8<sup>st</sup> loop closed:''' In this single node the clinician could terminate the loop but would not have solved anything because the decoding of the encrypted message has not yet been achieved. It should be noted that the electrophysiological method called 'heteronomous H-reflex' is able to highlight response anomalies from the temporal muscle for which the loop was continued by inserting the following specific keyword, ' [https://pubmed.ncbi.nlm.nih.gov/?term=Temporal+muscle+abnormal+response&size=200 Temporal muscle abnormal response]' which returns 137 data. | ||
*'''9<sup>st</sup> loop open:''' By studying the 137 articles | *'''9<sup>st</sup> loop open:''' By studying the 137 articles appeared in Pubmed, the clinician intuits that the response abnormalities, in the temporal muscle through the H-reflex test, depend on a spread of the stimulus current in the unstructured axon and therefore further investigates the loop by interrogating the network for a further keyword the 'Lateral spread impulses' which, definitively, closes the cognitive process of the 'Neural Network' with a close article, the '[https://pubmed.ncbi.nlm.nih.gov/27072096/ '''Ephaptic transmission''' is the origin of the abnormal muscle response seen in hemifacial spasm]'<center>[[File:Immagine 17-12-22 alle 11.44.jpeg|center|600x600px|thumb|'''Figure 4:''' The active links of the 'CNN' highlighted in the template correspond to the 'Pubmed' database and can be documented.]] | ||
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