Roghayeh Pourali
ORCID: 0000-0001-7614-0518
· 3 papers in corpus
2026
BackgroundOvarian cancer remains the most lethal gynecological malignancy, necessitating precise diagnostic strategies to improve patient outcomes. This study aims to develop and evaluate machine learning models that utilize patient history…
other
2026
BACKGROUND: Women undergoing surgery for gynecologic malignancies are at high risk for postoperative venous thromboembolism (VTE). Although subcutaneous enoxaparin is commonly used for prophylaxis, concerns about cost, self-injections, and …
other
2023