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...

Cijeli opis

Bibliografski detalji

Glavni autor:	ALAM SUHA, SAYMA
Format:	Disertacija
Jezik:	engleski
Izdano:	Department of Computer Science and Engineering, MIST 2024
Teme:	PREDICTING POLYCYSTIC OVARY SYNDROME THROUGH MACHINE LEARNING TECHNIQUE USING PATIENTS’ SYMPTOM DATA AND OVARY ULTRASOUND IMAGES
Online pristup:	http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/776
Oznake:	Dodaj oznaku Bez oznaka, Budi prvi tko označuje ovaj zapis!