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Artificial Intelligence in Medicine|September 16, 2019
Optimizing neural networks for medical data sets: A case study on neonatal apnea predictionRudresh Deepak Shirwaikar, Dinesh Acharya U, Krishnamoorthi Makkithaya, et al.Artificial Intelligence in Medicine|May 6, 2015
Learning from healthy and stable eyes: A new approach for detection of glaucomatous progressionAkram Belghith, Christopher Bowd, Felipe A Medeiros, et al.Artificial Intelligence in Medicine|April 20, 2015
A comparative analysis of the density of the SNOMED CT conceptual content for semantic harmonizationZhe He, James Geller, Yan ChenArtificial Intelligence in Medicine|July 20, 2016
Traveling on discrete embeddings of gene expressionPietro Lovato, Manuele Bicego, Maria Kesa, et al.Artificial Intelligence in Medicine|July 20, 2016
A framework for parameter estimation and model selection in kernel deep stacking networksThomas Welchowski, Matthias SchmidArtificial Intelligence in Medicine|July 20, 2016
Machine learning classification of surgical pathology reports and chunk recognition for information extraction noise reductionGiulio Napolitano, Adele Marshall, Peter Hamilton, et al.Artificial Intelligence in Medicine|December 31, 1997
Formalisation for decision support in anaesthesiologyG R Renardel de Lavalette, R Groenboom, E Rotterdam, et al.Artificial Intelligence in Medicine|April 20, 2021
Advanced EEG-based learning approaches to predict schizophrenia: Promises and pitfallsCarla Barros, Carlos A Silva, Ana P PinheiroArtificial Intelligence in Medicine|June 1, 2014
Noninvasive evaluation of mental stress using by a refined rough set technique based on biomedical signalsTung-Kuan Liu, Yeh-Peng Chen, Zone-Yuan Hou, et al.Artificial Intelligence in Medicine|February 11, 2026
PreLora: A fine-tuning approach with low-rank matrix decomposition and prefix tuning for pre-hospital emergency text classificationFeng Tian, Xian Wang, Saicong Lu, et al.Pageof 247