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ORCIDArtificial Intelligence in Medicine, Volume 101
Volume 101, November 2019
- Shang Gao, John X. Qiu, Mohammed M. Alawad, Jacob D. Hinkle
, Noah Schaefferkoetter, Hong-Jun Yoon, James Blair Christian, Paul A. Fearn, Lynne Penberthy, Xiao-Cheng Wu, Linda Coyle, Georgia D. Tourassi, Arvind Ramanathan:
Classifying cancer pathology reports with hierarchical self-attention networks. - Andrea Lenzi, Marianna Maranghi, Giovanni Stilo, Paola Velardi:
The social phenotype: Extracting a patient-centered perspective of diabetes from health-related blogs. - Jinao Zhang, Sunita Chauhan:
Neural network methodology for real-time modelling of bio-heat transfer during thermo-therapeutic applications. - Tianyu Liu, Wenhui Fan, Cheng Wu:
A hybrid machine learning approach to cerebral stroke prediction based on imbalanced medical dataset. - Xianlun Tang, Ting Wang, Yiming Du, Yuyan Dai:
Motor imagery EEG recognition with KNN-based smooth auto-encoder. - Amir Talaei-Khoei, Madjid Tavana, James M. Wilson V:
A predictive analytics framework for identifying patients at risk of developing multiple medical complications caused by chronic diseases. - Deepak Singh, Pradeep Singh, Dilip Singh Sisodia:
Compositional model based on factorial evolution for realizing multi-task learning in bacterial virulent protein prediction. - Nan Han, Shaojie Qiao, Guan Yuan, Ping Huang, Dingxiang Liu, Kun Yue:
A novel Chinese herbal medicine clustering algorithm via artificial bee colony optimization.
- Dunja Vrbaski, Milan Vrbaski, Aleksandar Kupusinac, Darko Ivanovic, Edita Stokic, Dragan Ivetic, Ksenija Doroslovacki:
Methods for algorithmic diagnosis of metabolic syndrome.
- Mohamed Abdel-Basset, Mai Mohamed, Mohamed Elhoseny, Le Hoang Son, Francisco Chiclana, Abd El-Nasser H. Zaied:
Cosine similarity measures of bipolar neutrosophic set for diagnosis of bipolar disorder diseases.
- Zhen Wang, Xiaoyan Du, Yang Yang, Guoqing Zhang:
Study on miR-384-5p activates TGF-β signaling pathway to promote neuronal damage in abutment nucleus of rats based on deep learning. - Muhammed Talo:
Automated classification of histopathology images using transfer learning.
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