{"id":8957,"date":"2026-02-21T12:42:22","date_gmt":"2026-02-21T06:42:22","guid":{"rendered":"https:\/\/isrt.ac.bd\/?post_type=tribe_events&p=8957"},"modified":"2026-03-04T16:02:23","modified_gmt":"2026-03-04T10:02:23","slug":"applied-statistics-and-data-science-seminar-on-monday-23-february-2026","status":"publish","type":"tribe_events","link":"https:\/\/isrt.ac.bd\/event\/applied-statistics-and-data-science-seminar-on-monday-23-february-2026\/","title":{"rendered":"Applied Statistics and Data Science Seminar on Thursday 05 March 2026"},"content":{"rendered":"

Title: <\/strong><\/span>FertiMeter: A Data-Driven Innovation to Address the Reproductive Health Crisis of Polycystic
\nOvary Syndrome<\/p>\n

Venue, date and time: <\/span><\/strong>ISRT, 5 March 2026, 12:15 pm<\/span><\/span><\/p>\n

Speaker: <\/span><\/strong>K. M. Tanvir, Lecturer, ISRT, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7 bangladesh<\/p>\n

Abstract:<\/span><\/strong><\/p>\n

Background:<\/span>
\nPolycystic ovary syndrome (PCOS) affects around 12.5% of women in Bangladesh and is a major cause of infertility and pregnancy complications. Although early detection can help manage symptoms and reduce risks, nearly 70% of women remain undiagnosed due to limited awareness and inadequate access
\nto medical care.
\nObjectives:<\/span>
\nThis study aims to develop a data-driven machine learning model that predicts the likelihood of PCOS using non-clinical features and to integrate it into a mobile application, FertiMeter.
\nMethods:<\/span>
\nA total of 546 participants, including 273 women diagnosed with PCOS and 273 without PCOS, were enrolled in the study. The CatBoost machine learning algorithm was applied to develop a predictive model for PCOS status and the model was incorporated into the FertiMeter mobile application.
\nKey Findings:<\/span>
\nUsing eight SHAP-selected non-clinical features, the CatBoost model achieved an average cross-validated accuracy of 86%.
\nConclusions:<\/span>
\nApproximately 6.7 million women in Bangladesh who remain undiagnosed with PCOS can use FertiMeter mobile application to assess their likelihood of having the condition free of cost.<\/p>\n","protected":false},"excerpt":{"rendered":"

Title: FertiMeter: A Data-Driven Innovation to Address the Reproductive Health Crisis of Polycystic Ovary Syndrome Venue, date and time: ISRT, 5 March 2026, 12:15 pm Speaker: K. M. 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