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Deep ensemble learning for Alzheimer's disease classification
An, Ning, Ding, Huitong, Yang, Jiaoyun, Au, Rhoda, Ang, Ting F.A.
Published in Journal of biomedical informatics (01.05.2020)
Published in Journal of biomedical informatics (01.05.2020)
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Journal Article
Identification of different manifestations of nonlinear stick–slip phenomena during creep groan braking noise by using the unsupervised learning algorithms k-means and self-organizing map
Prezelj, Jurij, Murovec, Jure, Huemer-Kals, Severin, Häsler, Karl, Fischer, Peter
Published in Mechanical systems and signal processing (01.03.2022)
Published in Mechanical systems and signal processing (01.03.2022)
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Journal Article
Mobile and wearable sensors for data-driven health monitoring system: State-of-the-art and future prospect
Virginia Anikwe, Chioma, Friday Nweke, Henry, Chukwu Ikegwu, Anayo, Adolphus Egwuonwu, Chukwunonso, Uchenna Onu, Fergus, Rita Alo, Uzoma, Wah Teh, Ying
Published in Expert systems with applications (15.09.2022)
Published in Expert systems with applications (15.09.2022)
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Journal Article
Comparison of machine-learning algorithms to build a predictive model for detecting undiagnosed diabetes - ELSA-Brasil: accuracy study
Olivera, André Rodrigues, Roesler, Valter, Iochpe, Cirano, Schmidt, Maria Inês, Vigo, Álvaro, Barreto, Sandhi Maria, Duncan, Bruce Bartholow
Published in São Paulo medical journal (01.05.2017)
Published in São Paulo medical journal (01.05.2017)
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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
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
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
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
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