Study types
- other 3
- article 2
Condition tags
- endometriosis 4
- infertility 1
- adenomyosis 1
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Frequent coauthors
- Suqin Zhu 3
- Wenwen Jiang 3
- Xiaojing Chen 3
- Rongshan Li 2
- Yan Sun 2
- Xiuhua Liao 2
- Qingfen Chen 1
- Shengrong Du 1
- Xiufeng Lin 1
- Yunhong Lin 1
BACKGROUND: Adenomyosis, an estrogen-dependent condition characterized by endometrial invasion into the myometrium, is associated with reduced live birth rates and increased miscarriage risk in women undergoing assisted reproductive technol…
OBJECTIVE: This study aims to develop a machine learning-based predictive model for patients with endometriosis, with the goal of precisely identifying key factors and reliable predictive markers that influence live birth outcomes following…
OBJECTIVES: Although in vitro fertilization with embryo transfer is the most effective treatment for infertile patients with endometriosis, ovarian stimulation protocols are controversial. STUDY DESIGN: We recruited 639 patients with endom…
PURPOSE: To construct and validate a nomogram model for predicting clinical pregnancy in individuals with endometriosis undergoing fersh embryo transfer (ET). METHODS: A retrospective analysis was conducted on 1630 individuals with endomet…
OBJECTIVE: To explore the relative factors for best ovarian response in patients undergoing assisted reproductive technology with the gonadotropin-releasing hormone antagonist protocol and to establish a nomogram prediction model of ovarian…