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ORCIDArtificial Intelligence in Medicine, Volume 123
Volume 123, January 2022
- Rosa María Ortega-Mendoza
, Delia Irazú Hernández Farías, Manuel Montes-y-Gómez, Luis Villaseñor Pineda:
Revealing traces of depression through personal statements analysis in social media. 102202 - Yibin Tang, Jia Sun, Chun Wang, Yuan Zhong, Aimin Jiang, Gang Liu, Xiaofeng Liu:
ADHD classification using auto-encoding neural network and binary hypothesis testing. 102209 - Turker Tuncer, Sengul Dogan, Mehmet Baygin, U. Rajendra Acharya:
Tetromino pattern based accurate EEG emotion classification model. 102210 - Gayathri Nagarajan, L. D. Dhinesh Babu:
Missing data imputation on biomedical data using deeply learned clustering and L2 regularized regression based on symmetric uncertainty. 102214
- Maria João Cardoso, Nehmat Houssami, Giuseppe Pozzi, Brigitte Séroussi:
Artificial intelligence (AI) in breast cancer care - leveraging multidisciplinary skills to improve care. 102215
- Christian F. Luz, Johan Magnus van Niekerk, Julia Keizer, Nienke Beerlage-de Jong, L. M. Annemarie Braakman-Jansen, Alfred Stein, Bhanu Sinha, Julia Elisabeth Wilhelmina Cornelia van Gemert-Pijnen, Corinna Glasner:
Mapping twenty years of antimicrobial resistance research trends. 102216 - Jinhe Shi, Xiangyu Gao, William C. Kinsman, Chenyu Ha, Guodong Gordon Gao, Yi Chen:
DI++: A deep learning system for patient condition identification in clinical notes. 102224
- Gabriel Schamberg, Marcus A. Badgeley, Benyamin Meschede-Krasa, Ohyoon Kwon, Emery N. Brown:
Continuous action deep reinforcement learning for propofol dosing during general anesthesia. 102227
- Mehrdad Rostami, Saman Forouzandeh, Kamal Berahmand, Mina Soltani, Meisam Shahsavari, Mourad Oussalah:
Gene selection for microarray data classification via multi-objective graph theoretic-based method. 102228 - Tom Mahler, Erez Shalom, Yuval Elovici, Yuval Shahar:
A dual-layer context-based architecture for the detection of anomalous instructions sent to medical devices. 102229 - Shuchao Pang, Matthew Field, Jason Dowling, Shalini K. Vinod, Lois Holloway, Arcot Sowmya:
Training radiomics-based CNNs for clinical outcome prediction: Challenges, strategies and findings. 102230
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