PREDICTING POLYCYSTIC OVARY SYNDROME THROUGH MACHINE LEARNING TECHNIQUE USING PATIENTS' SYMPTOM DATA AND OVARY ULTRASOUND IMAGES /

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Bibliografski detalji
Glavni autor: Suha, Sayma Alam
Autor kompanije: Supervised by Lt Col Muhammad Nazrul Islam (Assoc. Professor, Dept. of CSE, MIST.)
Format: Knjiga
Jezik:engleski
Izdano: Dhaka : CSE DEPT. MIST, c2022.
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