https://nova.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52198 Wed 21 Feb 2024 14:36:20 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:15027 Wed 11 Apr 2018 11:54:21 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48098 Wed 07 Feb 2024 14:39:54 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47808 Wed 01 Feb 2023 10:55:12 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48535 Diagnostic and Statistical Manuals of Mental Disorders “DSM-IV” and the most recent addition, DSM-5 allow us to introspect, using the solution provided by modern algorithms, if there exists a consensus between the clusters obtained via a data-driven approach, with the current classifications. In the case of mental disorders, the availability of a follow-up consensus collection (e.g. in this case the DSM-5), potentially allows investigating if the classification of disorders has moved closer (or away) to what a data-driven analytic approach would have unveiled by objectively inferring it from the data of DSM-IV. In this contribution, we present a new type of mathematical approach based on a global cohesion score which we introduce for the first time for the identification of communities of symptoms. Different from other approaches, this combinatorial optimization method is based on the identification of “triangles” in the network; these triads are the building block of feedback loops that can exist between groups of symptoms. We used a memetic algorithm to obtain a collection of highly connected-cohesive sets of symptoms and we compare the resulting community structure with the classification of disorders present in the DSM-IV.]]> Thu 02 May 2024 14:32:58 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36931 Mon 20 Jul 2020 10:49:41 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52790 Fri 27 Oct 2023 13:59:39 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48161 Fri 10 Mar 2023 13:58:47 AEDT ]]>