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ORCIDJournal of Biomedical Informatics, Volume 84
Volume 84, August 2018
- Liwen Cui, Xiaolei Xie
, Zuo-Jun Max Shen:
Prediction task guided representation learning of medical codes in EHR. 1-10
- Laila Rasmy, Yonghui Wu, Ningtao Wang, Xin Geng, W. Jim Zheng, Fei Wang, Hulin Wu, Hua Xu, Degui Zhi:
A study of generalizability of recurrent neural network-based predictive models for heart failure onset risk using a large and heterogeneous EHR data set. 11-16 - Miriam Cabrita, Harm op den Akker, Monique Tabak, Hermie J. Hermens, Miriam M. R. Vollenbroek-Hutten:
Persuasive technology to support active and healthy ageing: An exploration of past, present, and future. 17-30 - Juan Antonio Lossio-Ventura, Jiang Bian, Clément Jonquet, Mathieu Roche, Maguelonne Teisseire:
A novel framework for biomedical entity sense induction. 31-41 - Mozhgan Nasr Azadani, Nasser Ghadiri, Ensieh Davoodijam:
Graph-based biomedical text summarization: An itemset mining and sentence clustering approach. 42-58 - Philip van Damme, Manuel Quesada-Martínez, Ronald Cornet, Jesualdo Tomás Fernández-Breis:
From lexical regularities to axiomatic patterns for the quality assurance of biomedical terminologies and ontologies. 59-74 - Matthew C. Lenert, Colin G. Walsh, Randolph A. Miller:
Discovering hidden knowledge through auditing clinical diagnostic knowledge bases. 75-81 - Pasi Karppinen, Harri Oinas-Kukkonen, Tuomas Alahäivälä, Terhi Jokelainen, Anna-Maria Teeriniemi, Tuire Salonurmi, Markku J. Savolainen:
Opportunities and challenges of behavior change support systems for enhancing habit formation: A qualitative study. 82-92 - Elena Tutubalina, Zulfat Miftahutdinov, Sergey I. Nikolenko, Valentin Malykh:
Medical concept normalization in social media posts with recurrent neural networks. 93-102 - Madhumita Sushil, Simon Suster, Kim Luyckx, Walter Daelemans:
Patient representation learning and interpretable evaluation using clinical notes. 103-113 - Antonio Morales Nicolás, Manuel Campos, Jose M. Juarez, Bernardo Cánovas-Segura, Francisco Palacios, Roque Marín:
A decision support system for antibiotic prescription based on local cumulative antibiograms. 114-122 - Imon Banerjee, Camille Kurtz, Alon Edward Devorah, Bao H. Do, Daniel L. Rubin, Christopher F. Beaulieu:
Relevance feedback for enhancing content based image retrieval and automatic prediction of semantic image features: Application to bone tumor radiographs. 123-135 - S. S. Deepika, T. V. Geetha:
A meta-learning framework using representation learning to predict drug-drug interaction. 136-147 - Hongyi Zhu, Hsinchun Chen, Randall A. Brown:
A sequence-to-sequence model-based deep learning approach for recognizing activity of daily living for senior care. 148-158 - Suhas Vittal, Gokul Karthikeyan:
Modeling association detection in order to discover compounds to inhibit oral cancer. 159-163 - Lizhen Shao, Yadong Xu, Dongmei Fu:
Classification of ADHD with bi-objective optimization. 164-170 - Huiwei Zhou, Shixian Ning, Yunlong Yang, Zhuang Liu, Chengkun Lang, Yingyu Lin:
Chemical-induced disease relation extraction with dependency information and prior knowledge. 171-178 - Evan Sholle, Marcos Davila, Joseph Kabariti, Julian Z. Schwartz, Vinay I. Varughese, Curtis L. Cole, Thomas R. Campion Jr.:
A scalable method for supporting multiple patient cohort discovery projects using i2b2. 179-183 - Carlo Combi, Margherita Zorzi, Gabriele Pozzani, Ugo Moretti, Elena Arzenton:
From narrative descriptions to MedDRA: automagically encoding adverse drug reactions. 184-199
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