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ORCIDJournal of Biomedical Informatics, Volume 54
Volume 54, April 2015
- Yan Wang, Serguei Pakhomov, James O. Ryan, Genevieve B. Melton
:
Domain adaption of parsing for operative notes. 1-9
- Joseph D. Romano, William G. Tharp, Indra Neil Sarkar:
Adapting simultaneous analysis phylogenomic techniques to study complex disease gene relationships. 10-38 - Germán Corredor, Eduardo Romero, Marcela Iregui:
An adaptable navigation strategy for Virtual Microscopy from mobile platforms. 39-49 - Jing Zhang, James I. Silber, Maciej A. Mazurowski:
Modeling false positive error making patterns in radiology trainees for improved mammography education. 50-57 - Aisling O'Driscoll, Vladislav Belogrudov, John Carroll, Kai Kropp, Paul Walsh, Peter Ghazal, Roy D. Sleator:
HBLAST: Parallelised sequence similarity - A Hadoop MapReducable basic local alignment search tool. 58-64 - Sanne Jensen, Andre W. Kushniruk, Christian Nøhr:
Clinical simulation: A method for development and evaluation of clinical information systems. 65-76 - Hongyuan Gao, Erin J. Aiello Bowles, David Carrell, Diana S. M. Buist:
Using natural language processing to extract mammographic findings. 77-84 - Erica Akemi Tanaka, Sérgio Ricardo Nozawa, Alessandra Alaniz Macedo, José Augusto Baranauskas:
A multi-label approach using binary relevance and decision trees applied to functional genomics. 85-95 - Truyen Tran, Tu Dinh Nguyen, Dinh Q. Phung, Svetha Venkatesh:
Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM). 96-105 - Corey W. Goodman, Heather J. Major, William D. Walls, Val C. Sheffield, Thomas L. Casavant, Benjamin W. Darbro:
CNV-ROC: A cost effective, computer-aided analytical performance evaluator of chromosomal microarrays. 106-113 - Ben J. Marafino, W. John Boscardin, R. Adams Dudley:
Efficient and sparse feature selection for biomedical text classification via the elastic net: Application to ICU risk stratification from nursing notes. 114-120 - Suresh Subramani, Raja Kalpana, Pankaj Moses Monickaraj, Jeyakumar Natarajan:
HPIminer: A text mining system for building and visualizing human protein interaction networks and pathways. 121-131 - Jian Zhang, Yan Wang, Desi Shang, Fulong Yu, Wei Liu, Yan Zhang, Chenchen Feng, Qiuyu Wang, Yanjun Xu, Yuejuan Liu, Xuefeng Bai, Xuecang Li, Chunquan Li:
Characterizing and optimizing human anticancer drug targets based on topological properties in the context of biological pathways. 132-140 - Delroy Cameron, Ramakanth Kavuluru, Thomas C. Rindflesch, Amit P. Sheth, Krishnaprasad Thirunarayan, Olivier Bodenreider:
Context-driven automatic subgraph creation for literature-based discovery. 141-157 - Stefan Franke, Jürgen Meixensberger, Thomas Neumuth:
Multi-perspective workflow modeling for online surgical situation models. 158-166 - Matthew Clark:
Prediction of clinical risks by analysis of preclinical and clinical adverse events. 167-173 - Marie Dupuch, Natalia Grabar:
Semantic distance-based creation of clusters of pharmacovigilance terms and their evaluation. 174-185 - Maureen A. Murtaugh, Bryan Smith Gibson, Doug Redd, Qing Zeng-Treitler:
Regular expression-based learning to extract bodyweight values from clinical notes. 186-190 - Walter Sujansky, Tom Wilson:
DIRECT secure messaging as a common transport layer for reporting structured and unstructured lab results to outpatient providers. 191-201
- Abeed Sarker, Rachel E. Ginn, Azadeh Nikfarjam, Karen O'Connor, Karen L. Smith, Swetha Jayaraman, Tejaswi Upadhaya, Graciela Gonzalez-Hernandez:
Utilizing social media data for pharmacovigilance: A review. 202-212
- Saeed Mehrabi, Anand Krishnan, Sunghwan Sohn, Alexandra M. Roch, Heidi Schmidt, Joe Kesterson, Chris Beesley, Paul R. Dexter, C. Max Schmidt, Hongfang Liu, Mathew J. Palakal:
DEEPEN: A negation detection system for clinical text incorporating dependency relation into NegEx. 213-219 - Kung-Jeng Wang, Angelia Melani-Adrian, Kun-Huang Chen, Kung-Min Wang:
An improved electromagnetism-like mechanism algorithm and its application to the prediction of diabetes mellitus. 220-229 - Ming Yang, Melody Y. Kiang, Wei Shang:
Filtering big data from social media - Building an early warning system for adverse drug reactions. 230-240 - Zhe He, Simona Carini, Ida Sim, Chunhua Weng:
Visual aggregate analysis of eligibility features of clinical trials. 241-255 - Safdar Ali, Abdul Majid:
Can-Evo-Ens: Classifier stacking based evolutionary ensemble system for prediction of human breast cancer using amino acid sequences. 256-269 - Jeongwoo Kim, Hyunjin Kim, Youngmi Yoon, Sanghyun Park:
LGscore: A method to identify disease-related genes using biological literature and Google data. 270-282 - K. Van Hoorde, Sabine Van Huffel, Dirk Timmerman, Tom Bourne, Ben Van Calster:
A spline-based tool to assess and visualize the calibration of multiclass risk predictions. 283-293 - Kirstine Rosenbeck Gøeg, Ronald Cornet, Stig Kjær Andersen:
Clustering clinical models from local electronic health records based on semantic similarity. 294-304 - Darwin Tay, Chueh-Loo Poh, Richard I. Kitney:
A novel neural-inspired learning algorithm with application to clinical risk prediction. 305-314 - Inès Ajmi, Hayfa Zgaya, Lotfi Gammoudi, Slim Hammadi, Alain Martinot, Régis Beuscart, Jean-Marie Renard:
Mapping patient path in the Pediatric Emergency Department: A workflow model driven approach. 315-328 - Bridget T. McInnes, Ted Pedersen:
Evaluating semantic similarity and relatedness over the semantic grouping of clinical term pairs. 329-336 - Robert R. Kelley, William A. Mattingly, Timothy L. Wiemken, Mohammad Khan, Daniel Coats, Daniel Curran, Julia H. Chariker, Julio A. Ramirez:
Visual grids for managing data completeness in clinical research datasets. 337-344
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