Need assessment for the content of educational programs about breast cancer from the viewpoint of unaffected women.

Sadaf Alipour Marzieh Orouji Yas Eskandari Amirhossein Eskandari

Published in: BMC women's health (2023)

This study was conducted as the preliminary phase of a study approved in Tehran University of Medical Sciences (Approval Code 99-1-101-46,455) and by the Ethics Committee of the University (Ethical Code IR.TUMS.MEDICINE.REC.1399.105).

Keyphrases

public health
healthcare
polycystic ovary syndrome
drug administration
type diabetes
pregnant women
pregnancy outcomes
adipose tissue
machine learning
insulin resistance
deep learning
cervical cancer screening
artificial intelligence