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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
Non-invasive assessment of NAFLD as systemic disease—A machine learning perspective
Canbay, Ali, Kälsch, Julia, Neumann, Ursula, Rau, Monika, Hohenester, Simon, Baba, Hideo A., Rust, Christian, Geier, Andreas, Heider, Dominik, Sowa, Jan-Peter
Published in PloS one (26.03.2019)
Published in PloS one (26.03.2019)
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Journal Article
Performance and efficiency of machine learning algorithms for analyzing rectangular biomedical data
Deng, Fei, Huang, Jibing, Yuan, Xiaoling, Cheng, Chao, Zhang, Lanjing
Published in Laboratory investigation (01.04.2021)
Published in Laboratory investigation (01.04.2021)
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Journal Article
Feature reduction for hepatocellular carcinoma prediction using machine learning algorithms
Mostafa, Ghada, Mahmoud, Hamdi, Abd El-Hafeez, Tarek, ElAraby, Mohamed E.
Published in Journal of big data (01.12.2024)
Published in Journal of big data (01.12.2024)
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Journal Article
Breast cancer diagnosis using the fast learning network algorithm
Albadr, Musatafa Abbas Abbood, Ayob, Masri, Tiun, Sabrina, AL-Dhief, Fahad Taha, Arram, Anas, Khalaf, Sura
Published in Frontiers in oncology (27.04.2023)
Published in Frontiers in oncology (27.04.2023)
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Journal Article
A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data
Tabares-Soto, Reinel, Orozco-Arias, Simon, Romero-Cano, Victor, Segovia Bucheli, Vanesa, Rodríguez-Sotelo, José Luis, Jiménez-Varón, Cristian Felipe
Published in PeerJ. Computer science (13.04.2020)
Published in PeerJ. Computer science (13.04.2020)
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Journal Article
A new concordant partial AUC and partial c statistic for imbalanced data in the evaluation of machine learning algorithms
Carrington, André M., Fieguth, Paul W., Qazi, Hammad, Holzinger, Andreas, Chen, Helen H., Mayr, Franz, Manuel, Douglas G.
Published in BMC medical informatics and decision making (06.01.2020)
Published in BMC medical informatics and decision making (06.01.2020)
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Journal Article
Diagnostic classification of cancers using extreme gradient boosting algorithm and multi-omics data
Ma, Baoshan, Meng, Fanyu, Yan, Ge, Yan, Haowen, Chai, Bingjie, Song, Fengju
Published in Computers in biology and medicine (01.06.2020)
Published in Computers in biology and medicine (01.06.2020)
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Journal Article
Diagnostic accuracy of convolutional neural network–based machine learning algorithms in endoscopic severity prediction of ulcerative colitis: a systematic review and meta-analysis
Jahagirdar, Vinay, Bapaye, Jay, Chandan, Saurabh, Ponnada, Suresh, Kochhar, Gursimran S., Navaneethan, Udayakumar, Mohan, Babu P.
Published in Gastrointestinal endoscopy (01.08.2023)
Published in Gastrointestinal endoscopy (01.08.2023)
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Journal Article
Implementation of ensemble machine learning algorithms on exome datasets for predicting early diagnosis of cancers
Pasha Syed, Abdu Rehaman, Anbalagan, Rahul, Setlur, Anagha S., Karunakaran, Chandrashekar, Shetty, Jyoti, Kumar, Jitendra, Niranjan, Vidya
Published in BMC bioinformatics (18.11.2022)
Published in BMC bioinformatics (18.11.2022)
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Journal Article
Cervical cell classification with deep-learning algorithms
Xu, Laixiang, Cai, Fuhong, Fu, Yanhu, Liu, Qian
Published in Medical & biological engineering & computing (01.03.2023)
Published in Medical & biological engineering & computing (01.03.2023)
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Journal Article
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
Ehteshami Bejnordi, Babak, Veta, Mitko, Johannes van Diest, Paul, van Ginneken, Bram, Karssemeijer, Nico, Litjens, Geert, van der Laak, Jeroen A. W. M, Hermsen, Meyke, Manson, Quirine F, Balkenhol, Maschenka, Geessink, Oscar, Stathonikos, Nikolaos, van Dijk, Marcory CRF, Bult, Peter, Beca, Francisco, Beck, Andrew H, Wang, Dayong, Khosla, Aditya, Gargeya, Rishab, Irshad, Humayun, Zhong, Aoxiao, Dou, Qi, Li, Quanzheng, Chen, Hao, Lin, Huang-Jing, Heng, Pheng-Ann, Haß, Christian, Bruni, Elia, Wong, Quincy, Halici, Ugur, Öner, Mustafa Ümit, Cetin-Atalay, Rengul, Berseth, Matt, Khvatkov, Vitali, Vylegzhanin, Alexei, Kraus, Oren, Shaban, Muhammad, Rajpoot, Nasir, Awan, Ruqayya, Sirinukunwattana, Korsuk, Qaiser, Talha, Tsang, Yee-Wah, Tellez, David, Annuscheit, Jonas, Hufnagl, Peter, Valkonen, Mira, Kartasalo, Kimmo, Latonen, Leena, Ruusuvuori, Pekka, Liimatainen, Kaisa, Albarqouni, Shadi, Mungal, Bharti, George, Ami, Demirci, Stefanie, Navab, Nassir, Watanabe, Seiryo, Seno, Shigeto, Takenaka, Yoichi, Matsuda, Hideo, Ahmady Phoulady, Hady, Kovalev, Vassili, Kalinovsky, Alexander, Liauchuk, Vitali, Bueno, Gloria, Fernandez-Carrobles, M. Milagro, Serrano, Ismael, Deniz, Oscar, Racoceanu, Daniel, Venâncio, Rui
Published in JAMA : the journal of the American Medical Association (12.12.2017)
Published in JAMA : the journal of the American Medical Association (12.12.2017)
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Journal Article