PREDICTING POLYCYSTIC OVARY SYNDROME THROUGH MACHINE LEARNING TECHNIQUE USING PATIENTS’ SYMPTOM DATA AND OVARY ULTRASOUND IMAGES
Polycystic ovary syndrome (PCOS) is the most prevalent endocrinological abnormality & one of the primary causes of anovulatory infertility in women globally. The real-world clinical PCOS detection technique is critical since the accuracy of interpretations being substantially dependent on vast num...
Zapisane w:
| 1. autor: | |
|---|---|
| Format: | Praca dyplomowa |
| Język: | angielski |
| Wydane: |
Department of Computer Science and Engineering, MIST
2024
|
| Hasła przedmiotowe: | |
| Dostęp online: | http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/776 |
| Etykiety: |
Nie ma etykietki, Dołącz pierwszą etykiete!
|