Predicting recurrence and recurrence‐free survival in high‐grade endometrial cancer using machine learning
暂无分享,去创建一个
J. Kwon | S. Lau | W. Gotlieb | M. Plante | D. Vicus | T. May | M. Renaud | B. Cormier | L. Helpman | S. Piedimonte | T. Feigenberg | Erik Drysdale
[1] Yi-Jen Chen,et al. Characterizing impact of positive lymph node number in endometrial cancer using machine-learning: A better prognostic indicator than FIGO staging? , 2021, Gynecologic oncology.
[2] J. Kwon,et al. Factors associated with an increased risk of recurrence in patients diagnosed with high-grade endometrial cancer undergoing minimally invasive surgery: A study of the society of gynecologic oncology (GOC) community of practice (CoP). , 2021, Gynecologic oncology.
[3] A. Jemal,et al. Cancer Statistics, 2021 , 2021, CA: a cancer journal for clinicians.
[4] Arcot Sowmya,et al. A comparison of machine learning methods for survival analysis of high-dimensional clinical data for dementia prediction , 2020, Scientific Reports.
[5] C. Hur,et al. Using machine learning to create prognostic systems for endometrial cancer. , 2020, Gynecologic oncology.
[6] J. Kwon,et al. Evaluating the diagnostic performance of preoperative endometrial biopsies in patients diagnosed with high grade endometrial cancer: A study of the Society of Gynecologic Oncology (GOC) Community of Practice (CoP). , 2020, Gynecologic oncology.
[7] H. Putter,et al. Adjuvant chemoradiotherapy versus radiotherapy alone in women with high-risk endometrial cancer (PORTEC-3): patterns of recurrence and post-hoc survival analysis of a randomised phase 3 trial , 2019, The Lancet. Oncology.
[8] F. Ghezzi,et al. Tumor Size, an Additional Risk Factor of Local Recurrence in Low-Risk Endometrial Cancer: A Large Multicentric Retrospective Study , 2018, International Journal of Gynecologic Cancer.
[9] A. Talhouk,et al. Confirmation of ProMisE: A simple, genomics‐based clinical classifier for endometrial cancer , 2017, Cancer.
[10] C. Coutant,et al. Predicting poor prognosis recurrence in women with endometrial cancer: a nomogram developed by the FRANCOGYN study group , 2016, British Journal of Cancer.
[11] M. Köbel,et al. Treatment related outcomes in high-risk endometrial carcinoma: Canadian high risk endometrial cancer consortium (CHREC). , 2016, Gynecologic oncology.
[12] M. Köbel,et al. Canadian high risk endometrial cancer (CHREC) consortium: analyzing the clinical behavior of high risk endometrial cancers. , 2015, Gynecologic oncology.
[13] A. Talhouk,et al. A clinically applicable molecular-based classification for endometrial cancers , 2015, British Journal of Cancer.
[14] Shuhei Kaneko,et al. Enhancing the Lasso Approach for Developing a Survival Prediction Model Based on Gene Expression Data , 2015, Comput. Math. Methods Medicine.
[15] E. Swisher,et al. Does size matter? Tumor size and morphology as predictors of nodal status and recurrence in endometrial cancer. , 2005, Gynecologic oncology.
[16] D. Ruppert. The Elements of Statistical Learning: Data Mining, Inference, and Prediction , 2004 .
[17] M. Maiman,et al. A phase III trial of surgery with or without adjunctive external pelvic radiation therapy in intermediate risk endometrial adenocarcinoma: a Gynecologic Oncology Group study , 2004 .