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Using Machine Learning Algorithms to Predict Hepatitis B Surface Antigen Seroclearance
Hao, Yuantao, Li, Xiangyong, Zhang, Wangjian, Li, Mengjie, Guo, Pi, Huang, Yutao, Chong, Yutian, Tian, Xiaolu, Du, Zhicheng
Published in Computational and mathematical methods in medicine (01.01.2019)
Published in Computational and mathematical methods in medicine (01.01.2019)
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Journal Article
Autism spectrum disorder diagnosis based on deep unrolling-based spatial constraint representation
Lei, Dajiang, Zhang, Tao, Wu, Yue, Li, Weisheng, Li, Xinwei
Published in Medical & biological engineering & computing (01.11.2023)
Published in Medical & biological engineering & computing (01.11.2023)
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Journal Article
Analysis of delirium prediction in the ICU based on the hybrid SGDCS-ANFIS approach
Tian, Yuan, Liang, Yongquan, Chen, Yufeng, Bian, Hongyang
Published in Medical & biological engineering & computing (01.03.2023)
Published in Medical & biological engineering & computing (01.03.2023)
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Journal Article
Clinical applications of machine learning algorithms: beyond the black box
Watson, David S, Krutzinna, Jenny, Bruce, Ian N, Griffiths, Christopher EM, McInnes, Iain B, Barnes, Michael R, Floridi, Luciano
Published in BMJ (Online) (12.03.2019)
Published in BMJ (Online) (12.03.2019)
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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
Pathology Image Analysis Using Segmentation Deep Learning Algorithms
Wang, Shidan, Yang, Donghan M., Rong, Ruichen, Zhan, Xiaowei, Xiao, Guanghua
Published in The American journal of pathology (01.09.2019)
Published in The American journal of pathology (01.09.2019)
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Journal Article
Machine learning algorithms performed no better than regression models for prognostication in traumatic brain injury
Gravesteijn, Benjamin Y., Lingsma, Hester F., Nelson, David, Steyerberg, Ewout W., Andreassen, Lasse, Anke, Audny, Audibert, Gérard, Barzó, Pál, Beauvais, Romuald, Bellander, Bo-Michael, Benali, Habib, Beretta, Luigi, Blaabjerg, Morten, Brazinova, Alexandra, Brooker, Joanne, Brorsson, Camilla, Bullinger, Monika, Lozano, Guillermo Carbayo, Chieregato, Arturo, Coburn, Mark, Dawes, Helen, Della Corte, Francesco, Đilvesi, Đula, Esser, Patrick, Martin Fabricius, Erzsébet Ezer, Feigin, Kelly Foks, Valery L., Gagliardo, Pablo, Gantner, Dashiell, Gao, Guoyi, Glocker, Ben, Gravesteijn, Benjamin, Grossi, Francesca, Gruen, Russell L., Helbok, Raimund, Jacobs, Bram, Ji-yao Jiang, Mike Jarrett, Karan, Mladen, Kolias, Angelos G., Kompanje, Erwin, Koraropoulos, Evgenios, Koskinen, Lars-Owe, Laureys, Steven, Legrand, Valerie, Lightfoot, Roger, Lingsma, Hester, Castaño-León, Ana M., Manley, Geoffrey, Maréchal, Hugues, McMahon, Catherine, Menovsky, Tomas, Mulazzi, Davide, Nair, Nandesh, Nieboer, Daan, Nyirádi, József, Oresic, Matej, Ortolano, Fabrizio, Palotie, Aarno, Parizel, Paul M., Pirinen, Matti, Polinder, Suzanne, Posti, Jussi P., Puybasset, Louis, Radoi, Andreea, Rhodes, Jonathan, Richardson, Sylvia, Richter, Sophie, Ripatti, Samuli, Rocka, Saulius, Roe, Cecilie, Rosenlund, Christina, Rossaint, Rolf, Sakowitz, Oliver, Sandor, Janos, Schoechl, Herbert, Schou, Rico Frederik, Schwendenwein, Elisabeth, Sewalt, Charlie, Stamatakis, Emmanuel, Stanworth, Simon, Ao, Braden Te, Tenovuo, Olli, Theadom, Alice, Tibboel, Dick, Vajkoczy, Peter, Vallance, Shirley, van der Naalt, Joukje, van Dijck, Jeroen T.J.M., van Essen, Thomas A., van Heugten, Caroline, Van Praag, Dominique, Vyvere, Thijs Vande, Vespa, Paul M., Voormolen, Daphne, Wang, Kevin K.W., Wiegers, Eveline, Winzeck, Stefan, Wolf, Stefan, Yang, Zhihui, Younsi, Alexander, Zelinkova, Veronika
Published in Journal of clinical epidemiology (01.06.2020)
Published in Journal of clinical epidemiology (01.06.2020)
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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
Circulating miRNA’s biomarkers for early detection of hepatocellular carcinoma in Egyptian patients based on machine learning algorithms
Sayed, Gehad Ismail, Solyman, Mona, El Gedawy, Gamalat, Moemen, Yasmine S., Aboul-Ella, Hassan, Hassanien, Aboul Ella
Published in Scientific reports (29.02.2024)
Published in Scientific reports (29.02.2024)
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Journal Article
A Comprehensive Review on Heart Disease Risk Prediction using Machine Learning and Deep Learning Algorithms
Karna, Vishnu Vardhana Reddy, Karna, Viswavardhan Reddy, Janamala, Varaprasad, Devana, V. N. Koteswara Rao, Ch, V. Ravi Sankar, Tummala, Aravinda Babu
Published in Archives of computational methods in engineering (01.04.2025)
Published in Archives of computational methods in engineering (01.04.2025)
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Journal Article
Predicting complications of diabetes mellitus using advanced machine learning algorithms
Ljubic, Branimir, Hai, Ameen Abdel, Stanojevic, Marija, Diaz, Wilson, Polimac, Daniel, Pavlovski, Martin, Obradovic, Zoran
Published in Journal of the American Medical Informatics Association : JAMIA (01.09.2020)
Published in Journal of the American Medical Informatics Association : JAMIA (01.09.2020)
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Journal Article
Predicting second breast cancer among women with primary breast cancer using machine learning algorithms, a population‐based observational study
Syleouni, Maria‐Eleni, Karavasiloglou, Nena, Manduchi, Laura, Wanner, Miriam, Korol, Dimitri, Ortelli, Laura, Bordoni, Andrea, Rohrmann, Sabine
Published in International journal of cancer (01.09.2023)
Published in International journal of cancer (01.09.2023)
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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
Using Machine Learning Algorithms to Predict Immunotherapy Response in Patients with Advanced Melanoma
Johannet, Paul, Coudray, Nicolas, Donnelly, Douglas M., Jour, George, Illa-Bochaca, Irineu, Xia, Yuhe, Johnson, Douglas B., Wheless, Lee, Patrinely, James R., Nomikou, Sofia, Rimm, David L., Pavlick, Anna C., Weber, Jeffrey S., Zhong, Judy, Tsirigos, Aristotelis, Osman, Iman
Published in Clinical cancer research (01.01.2021)
Published in Clinical cancer research (01.01.2021)
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Journal Article
Evaluation of machine learning algorithms for the prognosis of breast cancer from the Surveillance, Epidemiology, and End Results database
Wu, Ruiyang, Luo, Jing, Wan, Hangyu, Zhang, Haiyan, Yuan, Yewei, Hu, Huihua, Feng, Jinyan, Wen, Jing, Wang, Yan, Li, Junyan, Liang, Qi, Gan, Fengjiao, Zhang, Gang
Published in PloS one (26.01.2023)
Published in PloS one (26.01.2023)
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Journal Article
Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs
Cheng, Chi-Tung, Ho, Tsung-Ying, Lee, Tao-Yi, Chang, Chih-Chen, Chou, Ching-Cheng, Chen, Chih-Chi, Chung, I-Fang, Liao, Chien-Hung
Published in European radiology (01.10.2019)
Published in European radiology (01.10.2019)
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Journal Article
Prediction of brain maturity in infants using machine-learning algorithms
Smyser, Christopher D., Dosenbach, Nico U.F., Smyser, Tara A., Snyder, Abraham Z., Rogers, Cynthia E., Inder, Terrie E., Schlaggar, Bradley L., Neil, Jeffrey J.
Published in NeuroImage (Orlando, Fla.) (01.08.2016)
Published in NeuroImage (Orlando, Fla.) (01.08.2016)
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Journal Article