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

Soggetto: Computer Science and Engineering.

Soggetto: This Thesis Paper of CSE in M.Sc. Program.

Autore: Supervised by Lt Col Muhammad Nazrul Islam