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Power transformers fault diagnosis based on a meta-learning approach to kernel extreme learning machine with opposition-based learning sparrow search algorithm
Song, Yu, Tan, Weimin, Zhang, Chengming, Tang, Chao, Cai, Lihong, Hu, Dong
Published in Journal of intelligent & fuzzy systems (01.01.2023)
Published in Journal of intelligent & fuzzy systems (01.01.2023)
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Journal Article
Medical image diagnosis based on adaptive Hybrid Quantum CNN
Ajlouni, Naim, Özyavaş, Adem, Takaoğlu, Mustafa, Takaoğlu, Faruk, Ajlouni, Firas
Published in BMC medical imaging (14.09.2023)
Published in BMC medical imaging (14.09.2023)
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Journal Article
Machine learning algorithm for early detection of end-stage renal disease
Segal, Zvi, Kalifa, Dan, Radinsky, Kira, Ehrenberg, Bar, Elad, Guy, Maor, Gal, Lewis, Maor, Tibi, Muhammad, Korn, Liat, Koren, Gideon
Published in BMC nephrology (27.11.2020)
Published in BMC nephrology (27.11.2020)
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Journal Article
Accelerating diagnosis of Parkinson’s disease through risk prediction
Yuan, William, Beaulieu-Jones, Brett, Krolewski, Richard, Palmer, Nathan, Veyrat-Follet, Christine, Frau, Francesca, Cohen, Caroline, Bozzi, Sylvie, Cogswell, Meaghan, Kumar, Dinesh, Coulouvrat, Catherine, Leroy, Bruno, Fischer, Tanya Z., Sardi, S. Pablo, Chandross, Karen J., Rubin, Lee L., Wills, Anne-Marie, Kohane, Isaac, Lipnick, Scott L.
Published in BMC neurology (18.05.2021)
Published in BMC neurology (18.05.2021)
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Journal Article
A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical Practice
Giannini, Heather M, Ginestra, Jennifer C, Chivers, Corey, Draugelis, Michael, Hanish, Asaf, Schweickert, William D, Fuchs, Barry D, Meadows, Laurie, Lynch, Michael, Donnelly, Patrick J, Pavan, Kimberly, Fishman, Neil O, Hanson, 3rd, C William, Umscheid, Craig A
Published in Critical care medicine (01.11.2019)
Published in Critical care medicine (01.11.2019)
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Journal Article
Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers
Deist, Timo M., Dankers, Frank J. W. M., Valdes, Gilmer, Wijsman, Robin, Hsu, I‐Chow, Oberije, Cary, Lustberg, Tim, Soest, Johan, Hoebers, Frank, Jochems, Arthur, El Naqa, Issam, Wee, Leonard, Morin, Olivier, Raleigh, David R., Bots, Wouter, Kaanders, Johannes H., Belderbos, José, Kwint, Margriet, Solberg, Timothy, Monshouwer, René, Bussink, Johan, Dekker, Andre, Lambin, Philippe
Published in Medical physics (Lancaster) (01.07.2018)
Published in Medical physics (Lancaster) (01.07.2018)
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Journal Article
Zoom in Lesions for Better Diagnosis: Attention Guided Deformation Network for WCE Image Classification
Xing, Xiaohan, Yuan, Yixuan, Meng, Max Q.-H.
Published in IEEE transactions on medical imaging (01.12.2020)
Published in IEEE transactions on medical imaging (01.12.2020)
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Journal Article
Can we screen for pancreatic cancer? Identifying a sub-population of patients at high risk of subsequent diagnosis using machine learning techniques applied to primary care data
Malhotra, Ananya, Rachet, Bernard, Bonaventure, Audrey, Pereira, Stephen P., Woods, Laura M.
Published in PloS one (02.06.2021)
Published in PloS one (02.06.2021)
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Journal Article
Extracting Diagnoses and Investigation Results from Unstructured Text in Electronic Health Records by Semi-Supervised Machine Learning
Wang, Zhuoran, Shah, Anoop D., Tate, A. Rosemary, Denaxas, Spiros, Shawe-Taylor, John, Hemingway, Harry
Published in PloS one (19.01.2012)
Published in PloS one (19.01.2012)
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Journal Article
Ovarian torsion: developing a machine-learned algorithm for diagnosis
Otjen, Jeffrey P., Stanescu, A. Luana, Alessio, Adam M., Parisi, Marguerite T.
Published in Pediatric radiology (01.05.2020)
Published in Pediatric radiology (01.05.2020)
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Journal Article
Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcare
Guo, Lin Lawrence, Morse, Keith E., Aftandilian, Catherine, Steinberg, Ethan, Fries, Jason, Posada, Jose, Fleming, Scott Lanyon, Lemmon, Joshua, Jessa, Karim, Shah, Nigam, Sung, Lillian
Published in BMC medical informatics and decision making (14.02.2024)
Published in BMC medical informatics and decision making (14.02.2024)
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Journal Article
ARDSFlag: an NLP/machine learning algorithm to visualize and detect high-probability ARDS admissions independent of provider recognition and billing codes
Gandomi, Amir, Wu, Phil, Clement, Daniel R, Xing, Jinyan, Aviv, Rachel, Federbush, Matthew, Yuan, Zhiyong, Jing, Yajun, Wei, Guangyao, Hajizadeh, Negin
Published in BMC medical informatics and decision making (16.07.2024)
Published in BMC medical informatics and decision making (16.07.2024)
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Journal Article
Marginal Structural Models Using Calibrated Weights With SuperLearner: Application to Type II Diabetes Cohort
Kalia, Sumeet, Saarela, Olli, Chen, Tao, O'Neill, Braden, Meaney, Christopher, Gronsbell, Jessica, Sejdic, Ervin, Escobar, Michael, Aliarzadeh, Babak, Moineddin, Rahim, Pow, Conrad, Sullivan, Frank, Greiver, Michelle
Published in IEEE journal of biomedical and health informatics (01.08.2022)
Published in IEEE journal of biomedical and health informatics (01.08.2022)
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Journal Article
Towards phenotyping stroke: Leveraging data from a large-scale epidemiological study to detect stroke diagnosis
Ni, Yizhao, Alwell, Kathleen, Moomaw, Charles J., Woo, Daniel, Adeoye, Opeolu, Flaherty, Matthew L., Ferioli, Simona, Mackey, Jason, De Los Rios La Rosa, Felipe, Martini, Sharyl, Khatri, Pooja, Kleindorfer, Dawn, Kissela, Brett M.
Published in PloS one (14.02.2018)
Published in PloS one (14.02.2018)
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Journal Article
Mixed-GGNAS: Mixed Search-space NAS based on genetic algorithm combined with gradient descent for medical image segmentation
Hu, Mengxiang, Li, Junchi, Dong, Yongquan, Zhang, Zichen, Liu, Weifan, Zhang, Peilin, Ping, Yuchao, Jiang, Le, Yu, Zekuan
Published in Expert systems with applications (15.09.2025)
Published in Expert systems with applications (15.09.2025)
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Journal Article