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Non-Invasive Measurement Using Deep Learning Algorithm Based on Multi-Source Features Fusion to Predict PD-L1 Expression and Survival in NSCLC
Wang, Chengdi, Ma, Jiechao, Shao, Jun, Zhang, Shu, Li, Jingwei, Yan, Junpeng, Zhao, Zhehao, Bai, Congchen, Yu, Yizhou, Li, Weimin
Published in Frontiers in immunology (07.04.2022)
Published in Frontiers in immunology (07.04.2022)
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Journal Article
Deep Learning–Based Algorithm for Detecting Aortic Stenosis Using Electrocardiography
Kwon, Joon‐Myoung, Lee, Soo Youn, Jeon, Ki‐Hyun, Lee, Yeha, Kim, Kyung‐Hee, Park, Jinsik, Oh, Byung‐Hee, Lee, Myong‐Mook
Published in Journal of the American Heart Association (09.04.2020)
Published in Journal of the American Heart Association (09.04.2020)
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Journal Article
An Algorithm Based on Deep Learning for Predicting In‐Hospital Cardiac Arrest
Kwon, Joon‐myoung, Lee, Youngnam, Lee, Yeha, Lee, Seungwoo, Park, Jinsik
Published in Journal of the American Heart Association (03.07.2018)
Published in Journal of the American Heart Association (03.07.2018)
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Journal Article
An Algorithm Framework for Drug-Induced Liver Injury Prediction Based on Genetic Algorithm and Ensemble Learning
Yan, Bowei, Ye, Xiaona, Wang, Jing, Han, Junshan, Wu, Lianlian, He, Song, Liu, Kunhong, Bo, Xiaochen
Published in Molecules (12.05.2022)
Published in Molecules (12.05.2022)
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Journal Article
An integrated study fusing systems biology and machine learning algorithms for genome-based discrimination of IPF and NSIP diseases: a new approach to the diagnostic challenge
Amjad, Elham, Asnaashari, Solmaz, Dastmalchi, Siavoush, Sokouti, Babak
Published in Soft computing (Berlin, Germany) (01.03.2024)
Published in Soft computing (Berlin, Germany) (01.03.2024)
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Journal Article
Type2 diabetes mellitus prediction using data mining algorithms based on the long-noncoding RNAs expression: a comparison of four data mining approaches
Kazerouni, Faranak, Bayani, Azadeh, Asadi, Farkhondeh, Saeidi, Leyla, Parvizi, Nasrin, Mansoori, Zahra
Published in BMC bioinformatics (27.08.2020)
Published in BMC bioinformatics (27.08.2020)
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Journal Article
Battery Thermal Runaway Fault Prognosis in Electric Vehicles Based on Abnormal Heat Generation and Deep Learning Algorithms
Li, Da, Liu, Peng, Zhang, Zhaosheng, Zhang, Lei, Deng, Junjun, Wang, Zhenpo, Dorrell, David G., Li, Weihan, Sauer, Dirk Uwe
Published in IEEE transactions on power electronics (01.07.2022)
Published in IEEE transactions on power electronics (01.07.2022)
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Journal Article
A Comparative Analysis of Optimization Algorithms for Gastrointestinal Abnormalities Recognition and Classification Based on Ensemble XcepNet23 and ResNet18 Features
Naz, Javeria, Sharif, Muhammad Imran, Sharif, Muhammad Irfan, Kadry, Seifedine, Rauf, Hafiz Tayyab, Ragab, Adham E.
Published in Biomedicines (01.06.2023)
Published in Biomedicines (01.06.2023)
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Journal Article
Machine learning algorithms’ accuracy in predicting kidney disease progression: a systematic review and meta-analysis
Lei, Nuo, Zhang, Xianlong, Wei, Mengting, Lao, Beini, Xu, Xueyi, Zhang, Min, Chen, Huifen, Xu, Yanmin, Xia, Bingqing, Zhang, Dingjun, Dong, Chendi, Fu, Lizhe, Tang, Fang, Wu, Yifan
Published in BMC medical informatics and decision making (01.08.2022)
Published in BMC medical informatics and decision making (01.08.2022)
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Journal Article
Maximization of the usage of coronary CTA derived plaque information using a machine learning based algorithm to improve risk stratification; insights from the CONFIRM registry
van Rosendael, Alexander R., Maliakal, Gabriel, Kolli, Kranthi K., Beecy, Ashley, Al’Aref, Subhi J., Dwivedi, Aeshita, Singh, Gurpreet, Panday, Mohit, Kumar, Amit, Ma, Xiaoyue, Achenbach, Stephan, Al-Mallah, Mouaz H., Andreini, Daniele, Bax, Jeroen J., Berman, Daniel S., Budoff, Matthew J., Cademartiri, Filippo, Callister, Tracy Q., Chang, Hyuk-Jae, Chinnaiyan, Kavitha, Chow, Benjamin J.W., Cury, Ricardo C., DeLago, Augustin, Feuchtner, Gudrun, Hadamitzky, Martin, Hausleiter, Joerg, Kaufmann, Philipp A., Kim, Yong-Jin, Leipsic, Jonathon A., Maffei, Erica, Marques, Hugo, Pontone, Gianluca, Raff, Gilbert L., Rubinshtein, Ronen, Shaw, Leslee J., Villines, Todd C., Gransar, Heidi, Lu, Yao, Jones, Erica C., Peña, Jessica M., Lin, Fay Y., Min, James K.
Published in Journal of cardiovascular computed tomography (01.05.2018)
Published in Journal of cardiovascular computed tomography (01.05.2018)
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Journal Article