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Artificial Intelligence in Medicine|December 10, 2019
A hybrid machine learning approach to cerebral stroke prediction based on imbalanced medical datasetTianyu Liu, Wenhui Fan, Cheng WuArtificial Intelligence in Medicine|December 10, 2019
Compositional model based on factorial evolution for realizing multi-task learning in bacterial virulent protein predictionDeepak Singh, Pradeep Singh, Dilip Singh SisodiaArtificial Intelligence in Medicine|December 10, 2019
Classifying cancer pathology reports with hierarchical self-attention networksShang Gao, John X Qiu, Mohammed Alawad, et al.Artificial Intelligence in Medicine|December 10, 2019
Study on miR-384-5p activates TGF-β signaling pathway to promote neuronal damage in abutment nucleus of rats based on deep learningZhen Wang, Xiaoyan Du, Yang Yang, et al.Artificial Intelligence in Medicine|December 19, 2018
CT liver tumor segmentation hybrid approach using neutrosophic sets, fast fuzzy c-means and adaptive watershed algorithmAhmed M Anter, Aboul Ella HassenianArtificial Intelligence in Medicine|November 30, 2020
Deep learning with attention supervision for automated motion artefact detection in quality control of cardiac T1-mappingQiang Zhang, Evan Hann, Konrad Werys, et al.Artificial Intelligence in Medicine|November 30, 2020
The automation of bias in medical Artificial Intelligence (AI): Decoding the past to create a better futureIsabel StrawArtificial Intelligence in Medicine|July 7, 2014
Cancer survival classification using integrated data sets and intermediate informationShinuk Kim, Taesung Park, Mark KonArtificial Intelligence in Medicine|July 9, 2022
Optimization of the organizational structure in hospitals to account for patients with multiple diseasesAnders Reenberg Andersen, Andreas Linhardt PlesnerArtificial Intelligence in Medicine|January 8, 2015
A short-term operating room surgery scheduling problem integrating multiple nurses roster constraintsWei Xiang, Jiao Yin, Gino LimPageof 248