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Journal of Biomedical Informatics, Volume 90
Volume 90, February 2019
- Robert Moskovitch
, Yuval Shahar
, Fei Wang, George Hripcsak:
Temporal biomedical data analytics. - Maurits Kaptein:
Personalization in biomedical-informatics: Methodological considerations and recommendations.
- Maxim Topaz, Ludmila Murga, Katherine M. Gaddis, Margaret V. McDonald
, Ofrit Bar-Bachar, Yoav Goldberg, Kathryn H. Bowles:
Mining fall-related information in clinical notes: Comparison of rule-based and novel word embedding-based machine learning approaches. - Neil R. Smalheiser
, Aaron M. Cohen, Gary Bonifield:
Unsupervised low-dimensional vector representations for words, phrases and text that are transparent, scalable, and produce similarity metrics that are not redundant with neural embeddings. - Safa Fathiamini
, Amber M. Johnson, Jia Zeng, Vijaykumar Holla, Nora S. Sanchez
, Funda Meric-Bernstam, Elmer V. Bernstam, Trevor Cohen:
Rapamycin-mTOR+BRAF=? Using relational similarity to find therapeutically relevant drug-gene relationships in unstructured text. - Maryam Zolnoori
, Kin Wah Fung, Timothy B. Patrick, Paul A. Fontelo, Hadi Kharrazi
, Anthony Faiola, Yi Shuan Shirley Wu, Christina E. Eldredge, Jake Luo
, Mike Conway, Jiaxi Zhu, Soo Kyung Park, Kelly Xu, Hamideh Moayyed, Somaieh Goudarzvand:
A systematic approach for developing a corpus of patient reported adverse drug events: A case study for SSRI and SNRI medications. - Brecht Claerhout, Dipak Kalra, Christina Mueller, Gurparkash Singh, Nadir Ammour, Laura Meloni, Juuso Blomster, Mark Hopley, George Kafatos
, Almenia Garvey, Peter Kuhn, Martine Lewi, Bart Vannieuwenhuyse, Benoît Marchal, Ketan Patel, Christoph Schindler, Mats Sundgren
:
Federated electronic health records research technology to support clinical trial protocol optimization: Evidence from EHR4CR and the InSite platform.
- Sara Fotouhi, Shahrokh Asadi, Michael W. Kattan
:
A comprehensive data level analysis for cancer diagnosis on imbalanced data. - Zear Ibrahim
, Arthur G. Money
:
Computer mediated reality technologies: A conceptual framework and survey of the state of the art in healthcare intervention systems.
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