11 Result(s)

Article

Machine learning models for predicting preeclampsia: a systematic review

This systematic review provides an overview of machine learning (ML) approaches for predicting preeclampsia.

Amene Ranjbar, Farideh Montazeri, Sepideh Rezaei Ghamsari… in BMC Pregnancy and Childbirth (2024)

Article

Correction to: Factors predicting age at menopause among Iranian women in the Bandare-Kong cohort study (a cross-sectional survey of PERSIAN cohort study)

Maryam Azizi Kutenaee, Sareh Dashti, Shideh Rafati… in Women's Midlife Health (2023)

Article

Machine learning-based approach for predicting low birth weight

Low birth weight (LBW) has been linked to infant mortality. Predicting LBW is a valuable preventative tool and predictor of newborn health risks. The current study employed a machine learning model to predict ...

Amene Ranjbar, Farideh Montazeri… in BMC Pregnancy and Childbirth (2023)

Article

Factors predicting age at menopause among Iranian women in the Bandare-Kong cohort study (a cross-sectional survey of PERSIAN cohort study)

Menopause is a natural period in women’s life and can be affected by several factors. The aim of this study was to identify the associated factors for age of natural menopause and among women with early and pr...

Maryam Azizi Kutenaee, Sareh Dashti, Shideh Rafati… in Women's Midlife Health (2023)

Article

The incidence and risk factors of meconium amniotic fluid in singleton pregnancies: an experience of a tertiary hospital in Iran

Several common maternal or neonatal risk factors have been linked to meconium amniotic fluid (MAF) development; however, the results are contradictory, depending on the study. This study aimed to assess the pr...

Mitra Shekari, Malihe Shirzadfard Jahromi, Amene Ranjbar… in BMC Pregnancy and Childbirth (2022)

Article

The role of radiogenomics in the diagnosis of breast cancer: a systematic review

One of the most common cancers diagnosed worldwide is breast cancer (BC), which is the leading cause of cancer death among women. The radiogenomics method is more accurate for managing and inhibiting this dise...

Leili Darvish, Mohammad-Taghi Bahreyni-Toossi… in Egyptian Journal of Medical Human Genetics (2022)

Article

Diagnostic accuracy of sFlt1/PlGF ratio as a marker for preeclampsia

Preeclampsia (PE) is a serious complication of pregnancy and one of the main causes of maternal and neonatal mortality and morbidity in the world. Finding a biomarker with high sensitivity and specificity coul...

Pooneh Nikuei, Minoo Rajaei, Nasibeh Roozbeh… in BMC Pregnancy and Childbirth (2020)

Article

Sexual dysfunction and related factors in pregnancy and postpartum: a systematic review and meta-analysis protocol

Sexual dysfunction refers to a chain of psychiatric, individual, and couple’s experiences that manifests itself as a dysfunction in sexual desire, sexual arousal, orgasm, and pain during intercourse. The aim o...

Mojdeh Banaei, Maryam Azizi, Azam Moridi, Sareh Dashti… in Systematic Reviews (2019)

Article

The association between diabetes and age at the onset of menopause: a systematic review protocol

Age at the onset of menopause is the most important determinant of women’s future health outcomes. While the basic mechanisms contributing to the onset of menopause are still not fully understood, age at menop...

Mansoureh Yazdkhasti, Zahra Mehdizadeh Tourzani, Nasibeh Roozbeh… in Systematic Reviews (2019)