42 results  1 of 3 

1 Predicting the Risk of Insulin-Requiring Gestational Diabetes before Pregnancy: A Model Generated from a Nationwide Population-Based Cohort Study in Korea
Seung-Hwan Lee, Jin Yu, Kyungdo Han, Seung Woo Lee, Sang Youn You, Hun-Sung Kim, Jae-Hyoung Cho, Kun-Ho Yoon, Mee Kyoung Kim
Endocrinol Metab.2023;38(1):129-138.   Published online 2023 January 27     DOI: http://dx.doi.org/10.3803/EnM.2022.1609
      
2 External validation of risk prediction platforms for pancreatic fistula after pancreatoduodenectomy using nomograms and artificial intelligence
So Jeong Yoon, Wooil Kwon, Ok Joo Lee, Ji Hye Jung, Yong Chan Shin, Chang-Sup Lim, Hongbeom Kim, Jin-Young Jang, Sang Hyun Shin, Jin Seok Heo, In Woong Han
Ann Surg Treat Res.2022;102(3):147-152.   Published online 2022 March 4     DOI: http://dx.doi.org/10.4174/astr.2022.102.3.147
      
3 A model for predicting gestational diabetes mellitus in early pregnancy: a prospective study in Thailand
Sattamat Lappharat, Penkae Rothmanee, Kasemsak Jandee, Manaphat Suksai, Tippawan Liabsuetrakul
Obstet Gynecol Sci.2022;65(2):156-165.   Published online 2022 January 26     DOI: http://dx.doi.org/10.5468/ogs.21250
      
4 Screening Tools Based on Nomogram for Diabetic Kidney Diseases in Chinese Type 2 Diabetes Mellitus Patients
Ganyi Wang, Biyao Wang, Gaoxing Qiao, Hao Lou, Fei Xu, Zhan Chen, Shiwei Chen
Diabetes Metab J.2021;45(5):708-718.   Published online 2021 April 13     DOI: http://dx.doi.org/10.4093/dmj.2020.0117
      
5 A Predictive Model Based on Bi-parametric Magnetic Resonance Imaging and Clinical Parameters for Clinically Significant Prostate Cancer in the Korean Population
Tae Il Noh, Chang Wan Hyun, Ha Eun Kang, Hyun Jung Jin, Jong Hyun Tae, Ji Sung Shim, Sung Gu Kang, Deuk Jae Sung, Jun Cheon, Jeong Gu Lee, Seok Ho Kang
Cancer Res Treat.2021;53(4):1148-1155.   Published online 2020 December 31     DOI: http://dx.doi.org/10.4143/crt.2020.1068
      
6 Development and Validation of Web-Based Nomograms to Precisely Predict Survival Outcomes of Non-metastatic Nasopharyngeal Carcinoma in an Endemic Area
Ji-Jin Yao, Li Lin, Tian-Sheng Gao, Wang-Jian Zhang, Wayne R. Lawrence, Jun Ma, Ying Sun
Cancer Res Treat.2021;53(3):657-670.   Published online 2020 December 7     DOI: http://dx.doi.org/10.4143/crt.2020.899
      
7 A Preoperative Nomogram for Predicting Chemoresistance to Neoadjuvant Chemotherapy in Patients with Locally Advanced Cervical Squamous Carcinoma Treated with Radical Hysterectomy
Zhengjie Ou, Dan Zhao, Bin Li, Yating Wang, Shuanghuan Liu, Yanan Zhang
Cancer Res Treat.2021;53(1):233-242.   Published online 2020 September 14     DOI: http://dx.doi.org/10.4143/crt.2020.159
      
8 An Innovative Prognostic Model Based on Four Genes in Asian Patient with Gastric Cancer
Jiahui Chen, Anqiang Wang, Jun Ji, Kai Zhou, Zhaode Bu, Guoqing Lyu, Jiafu Ji
Cancer Res Treat.2021;53(1):148-161.   Published online 2020 August 31     DOI: http://dx.doi.org/10.4143/crt.2020.424
      
9 Nomogram for predicting overall survival in children with neuroblastoma based on SEER database
Song-Wu Liang, Gang Chen, Yi-Ge Luo, Peng Chen, Jin-Han Gu, Qiong-Qian Xu, Yi-Wu Dang, Li-Ting Qin, Hui-Ping Lu, Wen-Ting Huang, Zhi-Guang Huang, Li Gao, Jia-Bo Chen
Ann Surg Treat Res.2020;99(2):118-126.   Published online 2020 July 31     DOI: http://dx.doi.org/10.4174/astr.2020.99.2.118
      
10 Nomogram for Predicting Central Lymph Node Metastasis in Papillary Thyroid Cancer: A Retrospective Cohort Study of Two Clinical Centers
Zheyu Yang, Yu Heng, Jianwei Lin, Chenghao Lu, Dingye Yu, Lei Tao, Wei Cai
Cancer Res Treat.2020;52(4):1010-1018.   Published online 2020 June 9     DOI: http://dx.doi.org/10.4143/crt.2020.254
      
11 Prediction of postoperative pancreatic fistula using a nomogram based on the updated definition
Cheng-Xiang Guo, Yi-Nan Shen, Qi Zhang, Xiao-Zhen Zhang, Jun-Li Wang, Shun-Liang Gao, Jian-Ying Lou, Ri-Sheng Que, Tao Ma, Ting-Bo Liang, Xue-Li Bai
Ann Surg Treat Res.2020;98(2):72-81.   Published online 2020 January 31     DOI: http://dx.doi.org/10.4174/astr.2020.98.2.72
      
12 Nomogram for accurate prediction of breast and axillary pathologic response after neoadjuvant chemotherapy in node positive patients with breast cancer
Hee Jun Choi, Jai Min Ryu, Isaac Kim, Seok Jin Nam, Seok Won Kim, Jonghan Yu, Jeong Eon Lee, Se Kyung Lee
Ann Surg Treat Res.2019;96(4):169-176.   Published online 2019 March 28     DOI: http://dx.doi.org/10.4174/astr.2019.96.4.169
      
13 Novel Prognostic Nomograms Based on Inflammation-Related Markers for Patients with Hepatocellular Carcinoma Underwent Hepatectomy
Yifei Wang, Kaiyu Sun, Jingxian Shen, Bin Li, Ming Kuang, Qinghua Cao, Sui Peng
Cancer Res Treat.2019;51(4):1464-1478.   Published online 2019 March 11     DOI: http://dx.doi.org/10.4143/crt.2018.657
      
14 Nomogram Development and External Validation for Predicting the Risk of Lymph Node Metastasis in T1 Colorectal Cancer
Jung Ryul Oh, Boram Park, Seongdae Lee, Kyung Su Han, Eui-Gon Youk, Doo-Han Lee, Do-Sun Kim, Doo-Seok Lee, Chang Won Hong, Byung Chang Kim, Bun Kim, Min Jung Kim, Sung Chan Park, Dae Kyung Sohn, Hee Jin Chang, Jae Hwan Oh
Cancer Res Treat.2019;51(4):1275-1284.   Published online 2019 January 17     DOI: http://dx.doi.org/10.4143/crt.2018.569
      
15 Development of Web-Based Nomograms to Predict Treatment Response and Prognosis of Epithelial Ovarian Cancer
Se Ik Kim, Minsun Song, Suhyun Hwangbo, Sungyoung Lee, Untack Cho, Ju-Hyun Kim, Maria Lee, Hee Seung Kim, Hyun Hoon Chung, Dae-Shik Suh, Taesung Park, Yong-Sang Song
Cancer Res Treat.2019;51(3):1144-1155.   Published online 2018 November 20     DOI: http://dx.doi.org/10.4143/crt.2018.508
      
16 Development of a novel nomogram for predicting ongoing pregnancy after in vitro fertilization and embryo transfer
Seul Ki Kim, Hyein Kim, Soohyun Oh, Jung Ryeol Lee, Byung Chul Jee, Seok Hyun Kim
Obstet Gynecol Sci.2018;61(6):669-674.   Published online 2018 October 8     DOI: http://dx.doi.org/10.5468/ogs.2018.61.6.669
      
17 Verification of a Western Nomogram for Predicting Oncotype DX™ Recurrence Scores in Korean Patients with Breast Cancer
Jae-Myung Kim, Jai Min Ryu, Isaac Kim, Hee Jun Choi, Seok Jin Nam, Seok Won Kim, Jonghan Yu, Se Kyung Lee, Jeong Eon Lee
J Breast Cancer.2018;21(2):222-226.   Published online 2018 June 20     DOI: http://dx.doi.org/10.4048/jbc.2018.21.2.222
      
18 Proposal of a Pretreatment Nomogram for Predicting Local Recurrence after Intensity-Modulated Radiation Therapy in T4 Nasopharyngeal Carcinoma: A Retrospective Review of 415 Chinese Patients
Lu-Lu Zhang, Yi-Yang Li, Jiang Hu, Guan-Qun Zhou, Lei Chen, Wen-Fei Li, Ai-Hua Lin, Jun Ma, Zhen-Yu Qi, Ying Sun
Cancer Res Treat.2018;50(4):1084-1095.   Published online 2017 November 15     DOI: http://dx.doi.org/10.4143/crt.2017.359
      
19 Development of a Nomogram to Predict N2 or N3 Stage in T1–2 Invasive Breast Cancer Patients with No Palpable Lymphadenopathy
Isaac Kim, Jai Min Ryu, Jai Myeong Kim, Hee Jun Choi, Se Kyung Lee, Jong Hwan Yu, Jeong Eon Lee, Seok Won Kim, Seok Jin Nam
J Breast Cancer.2017;20(3):270-278.   Published online 2017 September 22     DOI: http://dx.doi.org/10.4048/jbc.2017.20.3.270
      
20 Nomogram predicting risk of lymphocele in gynecologic cancer patients undergoing pelvic lymph node dissection
Baraem Yoo, Hyojeong Ahn, Miseon Kim, Dong Hoon Suh, Kidong Kim, Jae Hong No, Yong Beom Kim
Obstet Gynecol Sci.2017;60(5):440-448.   Published online 2017 September 18     DOI: http://dx.doi.org/10.5468/ogs.2017.60.5.440
      

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