Stop the war!
default search action
Artificial 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.
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.