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ORCIDJournal of Biomedical Informatics, Volume 100
Volume 100, December 2019
- Aviv Shachak
, Craig E. Kuziemsky, Carolyn Petersen:
Beyond TAM and UTAUT: Future directions for HIT implementation research.
- Scott R. Walter, William T. M. Dunsmuir, Johanna I. Westbrook:
Inter-observer agreement and reliability assessment for observational studies of clinical work. - Soraia Figueiredo Paulo, Filipe Relvas, Hugo Nicolau, Yosra Rekik, Vanessa Machado, João Botelho, José João Mendes, Laurent Grisoni, Joaquim A. Jorge, Daniel Simões Lopes:
Touchless interaction with medical images based on 3D hand cursors supported by single-foot input: A case study in dentistry. - Cheng-Kui Huang, Shin-Horng Chen, Chia-Pei Tang, Hsin-Ying Huang:
A trade-off dual-factor model to investigate discontinuous intention of health app users: From the perspective of information disclosure. - Karamarie Fecho, Stanley C. Ahalt, Saravanan Arunachalam, James Champion, Christopher G. Chute, Sarah Davis, Kenneth Gersing, Gustavo Glusman, Jennifer Hadlock, Jewel Lee, Emily R. Pfaff, Max Robinson, Eric Sid, Casey N. Ta, Hao Xu, Richard L. Zhu, Qian Zhu, David B. Peden:
Sex, obesity, diabetes, and exposure to particulate matter among patients with severe asthma: Scientific insights from a comparative analysis of open clinical data sources during a five-day hackathon.
- Marios Spanakis, Stelios Sfakianakis, George Kallergis, Emmanouil G. Spanakis, Vangelis Sakkalis:
PharmActa: Personalized pharmaceutical care eHealth platform for patients and pharmacists. - Weilin Meng, Wanmei Ou, Sheenu Chandwani, Xin Chen, Wynona Black, Zhaohui Cai:
Temporal phenotyping by mining healthcare data to derive lines of therapy for cancer. - Cheng Gao, Sarah Osmundson, Digna Velez Edwards, Gretchen Purcell Jackson, Bradley A. Malin, You Chen:
Deep learning predicts extreme preterm birth from electronic health records. - Andrew J. King, Gregory F. Cooper, Gilles Clermont, Harry Hochheiser, Milos Hauskrecht, Dean F. Sittig, Shyam Visweswaran:
Using machine learning to selectively highlight patient information. - Xi Hang Cao, Chao Han, Lucas M. Glass, Allen Kindman, Zoran Obradovic:
Time-to-event estimation by re-defining time. - Muhammad Abulaish, Md. Aslam Parwez, Jahiruddin:
DiseaSE: A biomedical text analytics system for disease symptom extraction and characterization. - Luwan Zhang, Yichi Zhang, Tianrun A. Cai, Yuri Ahuja, Zeling He, Yuk-Lam Ho, Andrew Beam, Kelly Cho, Robert J. Carroll, Joshua C. Denny, Isaac S. Kohane, Katherine P. Liao, Tianxi Cai:
Automated grouping of medical codes via multiview banded spectral clustering. - Hamed Hassanzadeh, Anthony N. Nguyen, Karin Verspoor:
Quantifying semantic similarity of clinical evidence in the biomedical literature to facilitate related evidence synthesis. - Thomas J. Bauer, Erich Alfred Gombocz, Marcus Krüger, Jayashree Sahana, Thomas J. Corydon, Johann Bauer, Manfred Infanger, Daniela Grimm:
Augmenting cancer cell proteomics with cellular images - A semantic approach to understand focal adhesion. - Guowen Chen, Tianqi Huang, Zhencheng Fan, Xinran Zhang, Hongen Liao:
A naked eye 3D display and interaction system for medical education and training. - Sebastian Mate, Thomas Bürkle, Lorenz A. Kapsner, Dennis Toddenroth, Marvin O. Kampf, Martin Sedlmayr, Ixchel Castellanos, Hans-Ulrich Prokosch, Stefan Kraus:
A method for the graphical modeling of relative temporal constraints. - Md. Ali Hossain, Sheikh Muhammad Saiful Islam, Julian M. W. Quinn, Fazlul Huq, Mohammad Ali Moni:
Machine learning and bioinformatics models to identify gene expression patterns of ovarian cancer associated with disease progression and mortality. - Cong Liu, Casey N. Ta, James R. Rogers, Ziran Li, Junghwan Lee, Alex M. Butler, Ning Shang, Fabricio Sampaio Peres Kury, Liwei Wang, Feichen Shen, Hongfang Liu, Lyudmila Ena, Carol Friedman, Chunhua Weng:
Ensembles of natural language processing systems for portable phenotyping solutions. - Xiaoyi Chen, Nicolas Garcelon, Antoine Neuraz, Katy Billot, Marc Lelarge, Thomas Bonald, Hugo Garcia, Yoann Martin, Vincent Benoit, Marc Vincent, Hassan Faour, Maxime Douillet, Stanislas Lyonnet, Sophie Saunier, Anita Burgun:
Phenotypic similarity for rare disease: Ciliopathy diagnoses and subtyping. - Peipei Chen, Wei Dong, Xudong Lu, Uzay Kaymak, Kunlun He, Zhengxing Huang:
Deep representation learning for individualized treatment effect estimation using electronic health records.
- Nishita Mehta, Anil Pandit, Sharvari Shukla:
Transforming healthcare with big data analytics and artificial intelligence: A systematic mapping study. - Surabhi Datta, Elmer V. Bernstam, Kirk Roberts:
A frame semantic overview of NLP-based information extraction for cancer-related EHR notes.
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