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ORCIDJournal of Biomedical Informatics, Volume 76
Volume 76, December 2017
- Lena Mamykina
, Elizabeth M. Heitkemper, Arlene M. Smaldone, Rita Kukafka, Heather J. Cole-Lewis, Patricia G. Davidson, Elizabeth D. Mynatt, Andrea Cassells, Jonathan N. Tobin, George Hripcsak:
Personal discovery in diabetes self-management: Discovering cause and effect using self-monitoring data. 1-8 - Colin G. Walsh, Kavya Sharman, George Hripcsak:
Beyond discrimination: A comparison of calibration methods and clinical usefulness of predictive models of readmission risk. 9-18
- Camila Rodrigues Dias, Marluce Rodrigues Pereira, André Pimenta Freire:
Qualitative review of usability problems in health information systems for radiology. 19-33
- Hong Zhou, Howard S. Burkom, Tara W. Strine, Susan Katz, Ruth Jajosky, Willie Anderson, Umed Ajani:
Comparing the historical limits method with regression models for weekly monitoring of national notifiable diseases reports. 34-40 - Rave Harpaz, William DuMouchel, Martijn J. Schuemie, Olivier Bodenreider, Carol Friedman, Eric Horvitz, Anna Ripple, Alfred Sorbello, Ryen W. White, Rainer Winnenburg, Nigam H. Shah:
Toward multimodal signal detection of adverse drug reactions. 41-49 - Xing Chen, Ya-Wei Niu, Guanghui Wang, Guiying Yan:
HAMDA: Hybrid Approach for MiRNA-Disease Association prediction. 50-58 - Zichen Wang, Li Li, Benjamin S. Glicksberg, Ariel Israel, Joel T. Dudley, Avi Ma'ayan:
Predicting age by mining electronic medical records with deep learning characterizes differences between chronological and physiological age. 59-68 - Norman Poh, Santosh Tirunagari, Nicholas Cole, Simon de Lusignan:
Probabilistic broken-stick model: A regression algorithm for irregularly sampled data with application to eGFR. 69-77 - Chih-Lin Chi, Wenjun Zeng, Wonsuk Oh, Soo Borson, Tatiana Lenskaia, Xinpeng Shen, Peter J. Tonellato:
Personalized long-term prediction of cognitive function: Using sequential assessments to improve model performance. 78-86 - Simona Colucci, Francesco M. Donini, Eugenio Di Sciascio:
Logical comparison over RDF resources in bio-informatics. 87-101 - Inigo Jauregi Unanue, Ehsan Zare Borzeshi, Massimo Piccardi:
Recurrent neural networks with specialized word embeddings for health-domain named-entity recognition. 102-109 - Jeongwoo Kim, Changbae Bang, Hyeonseo Hwang, Doyoung Kim, Chihyun Park, Sanghyun Park:
IMA: Identifying disease-related genes using MeSH terms and association rules. 110-123 - Catalina Martínez-Costa, Stefan Schulz:
Validating EHR clinical models using ontology patterns. 124-137 - Johann Bauer, Daniela Grimm, Erich Alfred Gombocz:
Semantic analysis of thyroid cancer cell proteins obtained from rare research opportunities. 138-153 - Avi Parush, George Mastoras, A. Bhandari, Kathryn Momtahan, Kathy Day, B. Weitzman, Benjamin Sohmer, A. Cwinn, Stanley J. Hamstra, L. Calder:
Can teamwork and situational awareness (SA) in ED resuscitations be improved with a technological cognitive aid? Design and a pilot study of a team situation display. 154-161
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