Expert System for Postpartum Diagnosis

This study presents work on machine learning algorithm system than enhances the decision making for the diagnosis of postpartum depression. There exist several studies that have been reported on the diagnosis (manual or automation) of postpartum depression, the risk factors and tools for effective management and treatment of affected persons. To overcome these challenges, this study focuses on improving the accuracy paradigm for clinicians in diagnosing postpartum depression through simplification of symptoms as represented in the manual tool and specification of the type of PPD because of its complex nature and availability of related data. The study sequentially implemented the goal with the ultimate objective of implementing a system for postpartum depression diagnosis. Keywords: Postpartum Depression, Diagnosis, Symptoms, Mood Disorder, Pathogenesis etc. Aims Research Journal Reference Format: Osaretin & Obahiagbon, K.O. (2025): Expert System for Postpartum Diagnosis. Advances in Multidisciplinary Research Journal. Vol. 11 No. 3, Pp 1-14. www.isteams.net/aimsjournal. dx.doi.org/10.22624/AIMS/V11N3P1