posted on 2024-07-13, 07:08authored byAli M. AL-Asadi
Advanced data mining techniques were applied to the Anxiety Online Platform to investigate pre-treatment-assessment, during-treatment, and post-treatment-assessment attritions and predictors, the efficacy of online therapy, and multiple and structural comorbidities. Results help with developing methods for improving engagement with online interventions, and provide for more efficient assessment. Establishing the efficacy of online intervention and the trans-diagnostic and trans-treatment applications will have a significant impact on online intervention programs. Establishing multiple comorbidities and comorbidity structure of 21 psychological disorders and their relationships with psycho-social variables using online assessment is a new area that will have a significant impact on treatment outcomes.
History
Thesis type
Thesis (PhD)
Thesis note
Thesis submitted in fulfilment of the requirements for the degree of Doctor of Philosophy, Swinburne University of Technology, 2015.