J03 : A Novel Machine Learning Model for Noninvasive Diagnosis of Endometriosis
| Students | Gabriella Ipwanshek
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| School | HDSB - White Oaks Secondary School - Oakville |
| Level | Intermediate 9/10 - Grade 10 |
| Group | Group 8 - Engineering and Computing II |
| Abstract | Endometriosis is an extremely prevalent condition, affecting one in ten women of childbearing age worldwide. Currently endometriosis diagnosis relies heavily on invasive methods for a definitive diagnosis. This project aims to leverage machine learning to develop a noninvasive AI model for diagnosing endometriosis. By analyzing clinical features and symptoms, this model aims to provide a faster, more accessible, and cost-effective alternative to traditional diagnostic procedures. |
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