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ORCIDJournal of Biomedical Informatics, Volume 92
Volume 92, April 2019
- Alex Roehrs, Cristiano André da Costa
, Rodrigo da Rosa Righi, Valter Ferreira da Silva, José Roberto Goldim, Douglas C. Schmidt:
Analyzing the performance of a blockchain-based personal health record implementation. - Ziyi Li, Kirk Roberts, Xiaoqian Jiang, Qi Long:
Distributed learning from multiple EHR databases: Contextual embedding models for medical events. - Imon Banerjee, Selen Bozkurt, Emel Alkim, Hersh Sagreiya, Allison W. Kurian, Daniel L. Rubin:
Automatic inference of BI-RADS final assessment categories from narrative mammography report findings. - Anindya Halder, Ansuman Kumar:
Active learning using rough fuzzy classifier for cancer prediction from microarray gene expression data. - Julian Hamm, Arthur G. Money, Anita Atwal:
Enabling older adults to carry out paperless falls-risk self-assessments using guidetomeasure-3D: A mixed methods study. - Beatriz Pérez:
Reasoning about clinical guidelines based on algebraic data types and constraint logic programming. - Qi Wang, Yangming Zhou, Tong Ruan, Daqi Gao, Yuhang Xia, Ping He:
Incorporating dictionaries into deep neural networks for the Chinese clinical named entity recognition. - Yen-Fu Luo, Weiyi Sun, Anna Rumshisky:
MCN: A comprehensive corpus for medical concept normalization. - Nikolas Löw, Jürgen Hesser, Manuel Blessing:
Multiple retrieval case-based reasoning for incomplete datasets. - Dandan Zhao, Hong Liu, Yuanjie Zheng, Yanlin He, Dianjie Lu, Chen Lyu:
Whale optimized mixed kernel function of support vector machine for colorectal cancer diagnosis. - Dimitris Dimitriadis, Grigorios Tsoumakas:
Word embeddings and external resources for answer processing in biomedical factoid question answering. - Shengqiang Chi, Xinhang Li, Yu Tian, Jun Li, Xiang-Xing Kong, Ke-Feng Ding, Chunhua Weng, Jing-Song Li:
Semi-supervised learning to improve generalizability of risk prediction models. - Kenneth Jung, Sylvia E. K. Sudat, Nicole Kwon, Walter F. Stewart, Nigam H. Shah:
Predicting need for advanced illness or palliative care in a primary care population using electronic health record data.
- Yekta Said Can, Bert Arnrich, Cem Ersoy:
Stress detection in daily life scenarios using smart phones and wearable sensors: A survey.
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