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An algorithm for direct causal learning of influences on patient outcomes
Rathnam, Chandramouli, Lee, Sanghoon, Jiang, Xia
Published in Artificial intelligence in medicine (01.01.2017)
Published in Artificial intelligence in medicine (01.01.2017)
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Journal Article
Predicting Unfavorable Pregnancy Outcomes in Polycystic Ovary Syndrome (PCOS) Patients Using Machine Learning Algorithms
Mogos, Raluca, Gheorghe, Liliana, Carauleanu, Alexandru, Vasilache, Ingrid-Andrada, Munteanu, Iulian-Valentin, Mogos, Simona, Solomon-Condriuc, Iustina, Baean, Luiza-Maria, Socolov, Demetra, Adam, Ana-Maria, Preda, Cristina
Published in Medicina (Kaunas, Lithuania) (01.08.2024)
Published in Medicina (Kaunas, Lithuania) (01.08.2024)
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Journal Article
Computed tomography-based radiomics predicts prognostic and treatment-related levels of immune infiltration in the immune microenvironment of clear cell renal cell carcinoma
Song, Shiyan, Ge, Wenfei, Qi, Xiaochen, Che, Xiangyu, Wang, Qifei, Wu, Guangzhen
Published in BMC medical imaging (01.07.2025)
Published in BMC medical imaging (01.07.2025)
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Journal Article
Identification of Novel Hypoxia Subtypes for Prognosis Based on Machine Learning Algorithms
Wang, Jiawei, Li, Tuo, Wei, Songquan, Zhao, Gengye, Ye, Cong, Ma, Qiuping, Ma, Jinchun, Cheng, Xiaoyan
Published in Journal of oncology (12.09.2022)
Published in Journal of oncology (12.09.2022)
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Journal Article
GD‐Net: An Integrated Multimodal Information Model Based on Deep Learning for Cancer Outcome Prediction and Informative Feature Selection
Lin, Junqi, Deng, Weizhen, Wei, Junyu, Zheng, Jinyong, Chen, Kenan, Chai, Hua, Zeng, Tao, Tang, Hui
Published in Journal of cellular and molecular medicine (01.12.2024)
Published in Journal of cellular and molecular medicine (01.12.2024)
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Journal Article
Integrated machine learning developed a prognosis‐related gene signature to predict prognosis in oesophageal squamous cell carcinoma
Tang, Peng, Li, Baihui, Zhou, Zijing, Wang, Haitong, Ma, Mingquan, Gong, Lei, Qiao, Yufeng, Ren, Peng, Zhang, Hongdian
Published in Journal of cellular and molecular medicine (01.11.2024)
Published in Journal of cellular and molecular medicine (01.11.2024)
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Journal Article
NMF-guided feature selection and genetic algorithm-driven framework for tumor mutational burden classification in bladder cancer using multi-omics data
Al-Ghafer, Ibrahim Abed, AlAfeshat, Noor, Alshomali, Lujain, Alanee, Shaheen, Qattous, Hazem, Azzeh, Mohammad, Alkhateeb, Abedalrhman
Published in Network modeling and analysis in health informatics and bioinformatics (Wien) (14.05.2024)
Published in Network modeling and analysis in health informatics and bioinformatics (Wien) (14.05.2024)
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Journal Article
Machine Learning-Based Algorithms for Enhanced Prediction of Local Recurrence and Metastasis in Low Rectal Adenocarcinoma Using Imaging, Surgical, and Pathological Data
Volovat, Cristian-Constantin, Scripcariu, Dragos-Viorel, Boboc, Diana, Volovat, Simona-Ruxandra, Vasilache, Ingrid-Andrada, Ursulescu-Lupascu, Corina, Gheorghe, Liliana, Baean, Luiza-Maria, Volovat, Constantin, Scripcariu, Viorel
Published in Diagnostics (Basel) (01.03.2024)
Published in Diagnostics (Basel) (01.03.2024)
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Journal Article
Overall survival time prediction for high-grade glioma patients based on large-scale brain functional networks
Liu, Luyan, Zhang, Han, Wu, Jinsong, Yu, Zhengda, Chen, Xiaobo, Rekik, Islem, Wang, Qian, Lu, Junfeng, Shen, Dinggang
Published in Brain imaging and behavior (01.10.2019)
Published in Brain imaging and behavior (01.10.2019)
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Journal Article
A survey of artificial intelligence/machine learning-based trends for prostate cancer analysis
Sailunaz, Kashfia, Beştepe, Deniz, Alhajj, Lama, Özyer, Tansel, Rokne, Jon, Alhajj, Reda
Published in Network modeling and analysis in health informatics and bioinformatics (Wien) (17.07.2024)
Published in Network modeling and analysis in health informatics and bioinformatics (Wien) (17.07.2024)
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Journal Article
Dynamic Prediction of Rectal Cancer Relapse and Mortality Using a Landmarking-Based Machine Learning Model: A Multicenter Retrospective Study from the Italian Society of Surgical Oncology—Colorectal Cancer Network Collaborative Group
Reddavid, Rossella, Elmore, Ugo, Moro, Jacopo, De Nardi, Paola, Biondi, Alberto, Persiani, Roberto, Solaini, Leonardo, Pafundi, Donato P., Cianflocca, Desiree, Sasia, Diego, Milone, Marco, Turri, Giulia, Mineccia, Michela, Pecchini, Francesca, Gallo, Gaetano, Rega, Daniela, Gili, Simona, Maiello, Fabio, Barberis, Andrea, Costanzo, Federico, Ortenzi, Monica, Divizia, Andrea, Foppa, Caterina, Anania, Gabriele, Spinelli, Antonino, Sica, Giuseppe S., Guerrieri, Mario, Polastri, Roberto, Bianco, Francesco, Delrio, Paolo, Sammarco, Giuseppe, Piccoli, Micaela, Ferrero, Alessandro, Pedrazzani, Corrado, Manigrasso, Michele, Borghi, Felice, Coco, Claudio, Cavaliere, Davide, D’Ugo, Domenico, Rosati, Riccardo, Azzolina, Danila
Published in Cancers (11.04.2025)
Published in Cancers (11.04.2025)
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Journal Article
Prediction of survival in oropharyngeal squamous cell carcinoma using machine learning algorithms: A study based on the surveillance, epidemiology, and end results database
Kim, Su Il, Kang, Jeong Wook, Eun, Young-Gyu, Lee, Young Chan
Published in Frontiers in oncology (22.08.2022)
Published in Frontiers in oncology (22.08.2022)
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Journal Article
Machine learning algorithm-generated and multi-center validated melanoma prognostic signature with inspiration for treatment management
Liu, Zaoqu, Xu, Hui, Weng, Siyuan, Guo, Chunguang, Dang, Qin, Zhang, Yuyuan, Ren, Yuqing, Liu, Long, Wang, Libo, Ge, Xiaoyong, Xing, Zhe, Zhang, Jian, Luo, Peng, Han, Xinwei
Published in Cancer Immunology Immunotherapy (01.03.2023)
Published in Cancer Immunology Immunotherapy (01.03.2023)
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Journal Article
Early prediction of circulatory failure in the intensive care unit using machine learning
Hyland, Stephanie L., Faltys, Martin, Hüser, Matthias, Lyu, Xinrui, Gumbsch, Thomas, Esteban, Cristóbal, Bock, Christian, Horn, Max, Moor, Michael, Rieck, Bastian, Zimmermann, Marc, Bodenham, Dean, Borgwardt, Karsten, Rätsch, Gunnar, Merz, Tobias M.
Published in Nature medicine (01.03.2020)
Published in Nature medicine (01.03.2020)
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Journal Article
Efficient RIEV: a novel framework for the prediction of breast cancer cases using ensemble machine learning
Sharma, Akriti, Hooda, Nishtha, Gupta, Nidhi Rani, Sharma, Renu
Published in Network modeling and analysis in health informatics and bioinformatics (Wien) (07.07.2023)
Published in Network modeling and analysis in health informatics and bioinformatics (Wien) (07.07.2023)
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Journal Article