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A clinically-translatable machine learning algorithm for the prediction of Alzheimer’s disease conversion: further evidence of its accuracy via a transfer learning approach
Grassi, Massimiliano, Loewenstein, David A., Caldirola, Daniela, Schruers, Koen, Duara, Ranjan, Perna, Giampaolo
Published in International psychogeriatrics (01.07.2019)
Published in International psychogeriatrics (01.07.2019)
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Survival analysis for pediatric heart transplant patients using a novel machine learning algorithm: A UNOS analysis
Ashfaq, Awais, Gray, Geoffrey M., Carapelluci, Jennifer, Amankwah, Ernest K., Rehman, Mohamed, Puchalski, Michael, Smith, Andrew, Quintessenza, James A., Laks, Jessica, Ahumada, Luis M., Asante-Korang, Alfred
Published in The Journal of heart and lung transplantation (01.10.2023)
Published in The Journal of heart and lung transplantation (01.10.2023)
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A Novel Machine-Learning Algorithm to Predict Stone Recurrence with 24-Hour Urine Data
Shee, Kevin, Liu, Andrew W, Chan, Carter, Yang, Heiko, Sui, Wilson, Desai, Manoj, Ho, Sunita, Chi, Thomas, Stoller, Marshall L
Published in Journal of endourology (01.08.2024)
Published in Journal of endourology (01.08.2024)
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Selecting the best machine learning algorithm to support the diagnosis of Non-Alcoholic Fatty Liver Disease: A meta learner study
Sorino, Paolo, Caruso, Maria Gabriella, Misciagna, Giovanni, Bonfiglio, Caterina, Campanella, Angelo, Mirizzi, Antonella, Franco, Isabella, Bianco, Antonella, Buongiorno, Claudia, Liuzzi, Rosalba, Cisternino, Anna Maria, Notarnicola, Maria, Chiloiro, Marisa, Pascoschi, Giovanni, Osella, Alberto Rubén
Published in PloS one (20.10.2020)
Published in PloS one (20.10.2020)
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Overall Survival Prognostic Modelling of Non-small Cell Lung Cancer Patients Using Positron Emission Tomography/Computed Tomography Harmonised Radiomics Features: The Quest for the Optimal Machine Learning Algorithm
Amini, Mehdi, Hajianfar, Ghasem, Hadadi Avval, Atlas, Nazari, Mostafa, Deevband, Mohammad Reza, Oveisi, Mehrdad, Shiri, Isaac, Zaidi, Habib
Published in Clinical oncology (Royal College of Radiologists (Great Britain)) (01.02.2022)
Published in Clinical oncology (Royal College of Radiologists (Great Britain)) (01.02.2022)
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Towards Improved Identification of Vertebral Fractures in Routine Computed Tomography (CT) Scans: Development and External Validation of a Machine Learning Algorithm
Nicolaes, Joeri, Skjødt, Michael Kriegbaum, Raeymaeckers, Steven, Smith, Christopher Dyer, Abrahamsen, Bo, Fuerst, Thomas, Debois, Marc, Vandermeulen, Dirk, Libanati, Cesar
Published in Journal of bone and mineral research (01.12.2023)
Published in Journal of bone and mineral research (01.12.2023)
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Prediction of fast neutron spectra with a spherical TEPC using a machine-learning algorithm
Antoni, Rodolphe, Allinei, Pierre-Guy, Bourgois, Laurent
Published in Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment (01.05.2023)
Published in Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment (01.05.2023)
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Application of a Machine Learning Algorithm to Develop and Validate a Prediction Model for Ambulatory Non-Arrivals: Prediction Model for Ambulatory Non-Arrivals
Coppa, Kevin, Kim, Eun Ji, Oppenheim, Michael I., Bock, Kevin R., Zanos, Theodoros P., Hirsch, Jamie S.
Published in Journal of general internal medicine : JGIM (01.08.2023)
Published in Journal of general internal medicine : JGIM (01.08.2023)
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Fluorescent dual-signal immunosensor combined with machine learning algorithm for accuracy discrimination of natural Brucella infection and vaccination
Zou, Deying, Chang, Jiang, Lu, Shiying, Hu, Pan, Zhang, Kai, Han, Cheng, Li, Feng, Li, Yansong, Chi, Dan, Cheng, Mengyan, Xu, Jianfeng, Sun, Xiaoli, Liu, Zengshan, Ren, Honglin
Published in Sensors and actuators. B, Chemical (15.06.2024)
Published in Sensors and actuators. B, Chemical (15.06.2024)
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A Novel Ensemble-Based Machine Learning Algorithm to Predict the Conversion From Mild Cognitive Impairment to Alzheimer's Disease Using Socio-Demographic Characteristics, Clinical Information, and Neuropsychological Measures
Grassi, Massimiliano, Rouleaux, Nadine, Caldirola, Daniela, Loewenstein, David, Schruers, Koen, Perna, Giampaolo, Dumontier, Michel
Published in Frontiers in neurology (16.07.2019)
Published in Frontiers in neurology (16.07.2019)
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A warning machine learning algorithm for early knee osteoarthritis structural progressor patient screening
Bonakdari, Hossein, Jamshidi, Afshin, Pelletier, Jean-Pierre, Abram, François, Tardif, Ginette, Martel-Pelletier, Johanne
Published in Therapeutic advances in musculoskeletal disease (2021)
Published in Therapeutic advances in musculoskeletal disease (2021)
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Machine learning algorithm improves accuracy of ortho-K lens fitting in vision shaping treatment
Fan, Yuzhuo, Yu, Zekuan, Tang, Tao, Liu, Xiao, Xu, Qiong, Peng, Zisu, Li, Yan, Wang, Kai, Qu, Jia, Zhao, Mingwei
Published in Contact lens & anterior eye (01.06.2022)
Published in Contact lens & anterior eye (01.06.2022)
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LASSO-based machine learning algorithm to predict the incidence of diabetes in different stages
Ou, Qianying, Jin, Wei, Lin, Leweihua, Lin, Danhong, Chen, Kaining, Quan, Huibiao
Published in The aging male (01.12.2023)
Published in The aging male (01.12.2023)
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Computer versus cardiologist: Is a machine learning algorithm able to outperform an expert in diagnosing a phospholamban p.Arg14del mutation on the electrocardiogram?
Bleijendaal, Hidde, Ramos, Lucas A., Lopes, Ricardo R., Verstraelen, Tom E., Baalman, Sarah W.E., Oudkerk Pool, Marinka D., Tjong, Fleur V.Y., Melgarejo-Meseguer, Francisco M., Gimeno-Blanes, F. Javier, Gimeno-Blanes, Juan R., Amin, Ahmad S., Winter, Michiel M., Marquering, Henk A., Kok, Wouter E.M., Zwinderman, Aeilko H., Wilde, Arthur A.M., Pinto, Yigal M.
Published in Heart rhythm (01.01.2021)
Published in Heart rhythm (01.01.2021)
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