Investigation of predictive parameters for recurrence in patients undergoing electrical cardioversion for atrial fibrillation by Levent Pay, Ozan Tezen, Tuğba Çetin, Ahmet Çağdaş Yumurtaş, Kıvanç Keskin, Şeyda Dereli, Ertan Arter, Yusuf Oflu, Faysal Şaylık, Berke Cenktug Korucu, Tufan Çınar, Mert İlker Hayıroğlu

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Development and validation of a nomogram for predicting hemoptysis recurrence in cystic bronchiectasis patients following bronchial artery embolization by Yuxin Duan, Weifan Sui, Zefeng Cai, Yimao Xia, Jianyun Li, Jianhua Fu

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Leveraging survival analysis and machine learning for accurate prediction of breast cancer recurrence and metastasis by Shahd M. Noman, Youssef M. Fadel, Mayar T. Henedak, Nada A. Attia, Malak Essam, Sarah Elmaasarawii, Fayrouz A. Fouad, Esraa G. Eltasawi, Walid Al-Atabany

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Interpretable machine learning model integrating contrast-enhanced CT environmental radiomics and clinicopathological features for predicting postoperative recurrence in lung adeno... by Song Lin, Song Lin, Yanli Niu, Yanli Niu, Lina Song, Yingjian Ye, Jinfang Yang, Junjie Liu, Xin Zhou, Xin Zhou, Peng An, Peng An

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Deep Learning Models for Predicting the Recurrence of Idiopathic Granulomatous Mastitis by Li L, Yang W, Jia H

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A Hybrid Ensemble Learning Framework for Predicting Lumbar Disc Herniation Recurrence: Integrating Supervised Models, Anomaly Detection, and Threshold Optimization by Mădălina Duceac (Covrig), Călin Gheorghe Buzea, Alina Pleșea-Condratovici, Lucian Eva, Letiția Doina Duceac, Marius Gabriel Dabija, Bogdan Costăchescu, Eva Maria Elkan, Cristian Guțu, Doina Carina Voinescu

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Left Atrial Low-Voltage Extent Predicts the Recurrence of Supraventricular Arrhythmias by Yannick Teumer, Luca Gold, Lyuboslav Katov, Carlo Bothner, Wolfgang Rottbauer, Karolina Weinmann-Emhardt

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Predicting the Recurrence of Differentiated Thyroid Cancer Using Whale Optimization-Based XGBoost Algorithm by Keshika Shrestha, H. M. Jabed Omur Rifat, Uzzal Biswas, Jun-Jiat Tiang, Abdullah-Al Nahid

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Optimizing unsupervised feature engineering and classification pipelines for differentiated thyroid cancer recurrence prediction by Emmanuel Onah, Uche Jude Eze, Abdullahi Salahudeen Abdulraheem, Ugochukwu Gabriel Ezigbo, Kosisochi Chinwendu Amorha, Fidele Ntie-Kang

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External validation of precisebreast, a digital prognostic test for predicting breast cancer recurrence, in an early-stage cohort from the Netherlands by Pieter J. Westenend, Claudia Meurs, Gerardo Fernandez, Marcel Prastawa, Abishek Sainath Madduri, Aaron Feliz, Juan Carlos Mejias, Alexander Shtabsky, Xiaozhu Zhang, Brandon Veremis, Rebecca DeAngel, Michael J. Donovan

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Identification and validation of a DNA methylation-block prognostic model in non-small cell lung cancer patients by Hang Li, Yi Lu, Haiqing Chen, Tong Li, Fangqiu Fu, Jing Wang, Bing Li, Hong Hu

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Random forest-based model for the recurrence prediction of borderline ovarian tumor: clinical development and validation by Liheng Yan, Qiulin Ye, Baole Shi, Juanjuan Liu, Yuexin Hu, Ouxuan Liu, Xiao Li, Bei Lin, Yue Qi

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Harnessing artificial intelligence for predicting breast cancer recurrence: a systematic review of clinical and imaging data by Jaqueline Alvarenga Silveira, Alexandre Ray da Silva, Mariana Zuliani Theodoro de Lima

Subjects: “…Breast cancer recurrence prediction…”
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Development of a model for prediction of relaxation and progression of hormone-resistant form of endometrial hyperplasia in women of reproductive age by D.A. Khaskhachykh

Subjects: “…endometrial hyperplasia hormone resistance progestin therapy recurrence prediction progression clinical risk factors immunohistochemical markers predictive model treatment effectiveness individualized therapy…”
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Deep learning for hepatocellular carcinoma recurrence before and after liver transplantation: a multicenter cohort study by Shuang Cao, Sihan Yu, Liangbin Huang, Samuel Seery, Yu Xia, Yongwei Zhao, Zhongzhou Si, Xinxue Zhang, Jiqiao Zhu, Ren Lang, Jiantao Kou, Haiming Zhang, Lin Wei, Guangpeng Zhou, Liying Sun, Lei Wang, Ting Li, Qiang He, Zhijun Zhu

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A Generalized Approach to Aircraft Trajectory Prediction via Supervised Deep Learning by Nora Schimpf, Zhe Wang, Summer Li, Eric J. Knoblock, Hongxiang Li, Rafael D. Apaza

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