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ORCIDJournal of Biomedical Informatics, Volume 132
Volume 132, August 2022
- Azadeh Givchi, Reza Ramezani
, Ahmad Baraani-Dastjerdi:
Graph-based abstractive biomedical text summarization. 104099
- Bar Eini-Porat, Ofra Amir, Danny Eytan, Uri Shalit:
Tell me something interesting: Clinical utility of machine learning prediction models in the ICU. 104107
- Tianrun Cai, Zeling He, Chuan Hong, Yichi Zhang, Yuk-Lam Ho, Jacqueline Honerlaw, Alon Geva, Vidul Ayakulangara Panickan, Amanda King, David R. Gagnon, J. Michael Gaziano, Kelly Cho, Katherine P. Liao, Tianxi Cai:
Scalable relevance ranking algorithm via semantic similarity assessment improves efficiency of medical chart review. 104109 - Md Momin Al Aziz, Md. Monowar Anjum, Noman Mohammed, Xiaoqian Jiang:
Generalized genomic data sharing for differentially private federated learning. 104113 - Milad Moradi, Matthias Samwald:
Improving the robustness and accuracy of biomedical language models through adversarial training. 104114 - Helena R. Torres, Bruno Oliveira, Pedro Morais, Anne Fritze, Mario Rüdiger, Jaime C. Fonseca, João L. Vilaça:
Realistic 3D infant head surfaces augmentation to improve AI-based diagnosis of cranial deformities. 104121 - Pratik Joshi, Masilamani V., Anirban Mukherjee:
A knowledge graph embedding based approach to predict the adverse drug reactions using a deep neural network. 104122 - Tamar Levy-Loboda, Eitam Sheetrit, Idit F. Liberty, Alon Haim, Nir Nissim:
Personalized insulin dose manipulation attack and its detection using interval-based temporal patterns and machine learning algorithms. 104129
- Alberto Isaac Pérez-SanPablo, Jesus-Albany Armenta-García, Angélica Figueroa Muñiz, Alicia Meneses Peñaloza, Alejandra Mendoza-Arguilés, Marcela D. Rodríguez:
Integration of persuasive elements into exergames: Application in the development of a novel gait rehabilitation system for children with musculoskeletal conditions. 104130
- Xujun Liang, Jun Li, Ying Fu, Lingzhi Qu, Yuying Tan, Pengfei Zhang:
A novel machine learning model based on sparse structure learning with adaptive graph regularization for predicting drug side effects. 104131 - Veronica Sciannameo, Alessia Goffi, Giuseppe Maffeis, Roberta Gianfreda, Daniele Jahier Pagliari, Tommaso Filippini, Pamela Mancuso, Paolo Giorgi-Rossi, Leonardo Alberto Dal Zovo, Angela Corbari, Marco Vinceti, Paola Berchialla:
A deep learning approach for Spatio-Temporal forecasting of new cases and new hospital admissions of COVID-19 spread in Reggio Emilia, Northern Italy. 104132 - Zhenxiang Gao, Pingjian Ding, Rong Xu:
KG-Predict: A knowledge graph computational framework for drug repurposing. 104133
- Halil Kilicoglu, Faezeh Ensan, Bridget T. McInnes, Lucy Lu Wang:
Call for papers: Semantics-enabled biomedical literature analytics. 104134
- Xiaofeng Liu, Jiajie Tan, Jianye Fan, Kaiwen Tan, Jinlong Hu, Shoubin Dong:
A Syntax-enhanced model based on category keywords for biomedical relation extraction. 104135 - Pedro Ruas, Francisco M. Couto:
NILINKER: Attention-based approach to NIL Entity Linking. 104137 - Song Wang, Liyan Tang, Akash Majety, Justin F. Rousseau, George Shih, Ying Ding, Yifan Peng:
Trustworthy assertion classification through prompting. 104139 - Ernesto Estremera, Alvis Cabrera, Aleix Beneyto, Josep Vehí:
A simulator with realistic and challenging scenarios for virtual T1D patients undergoing CSII and MDI therapy. 104141
- Lu He, Tingjue Yin, Kai Zheng:
They May Not Work! An evaluation of eleven sentiment analysis tools on seven social media datasets. 104142
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