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ORCIDJournal of Biomedical Informatics, Volume 83
Volume 83, July 2018
- Wei Zheng, Hongfei Lin, Zhiheng Li, Xiaoxia Liu, Zhengguang Li, Bo Xu, Yijia Zhang
, Zhihao Yang, Jian Wang:
An effective neural model extracting document level chemical-induced disease relations from biomedical literature. 1-9 - Giorgio Leonardi, Manuel Striani, Silvana Quaglini, Anna Cavallini, Stefania Montani:
Leveraging semantic labels for multi-level abstraction in medical process mining and trace comparison. 10-24
- Lauren Houston, Yasmine C. Probst, Allison Martin:
Assessing data quality and the variability of source data verification auditing methods in clinical research settings. 25-32
- Feng Wang, Jing-yi Zhou, Yu Tian, Yu Wang, Ping Zhang, Jianghua Chen, Jing-song Li:
Intradialytic blood pressure pattern recognition based on density peak clustering. 33-39 - Tiago K. Colicchio, Guilherme Del Fiol, Debra L. Scammon, Julio C. Facelli, Watson A. Bowes III, Scott P. Narus:
Comprehensive methodology to monitor longitudinal change patterns during EHR implementations: a case study at a large health care delivery network. 40-53 - Qindong Sun, Nan Wang, Shancang Li, Hongyi Zhou:
Local spatial obesity analysis and estimation using online social network sensors. 54-62 - Cheng Ye, Daniel Fabbri:
Extracting similar terms from multiple EMR-based semantic embeddings to support chart reviews. 63-72
- Thomas Ly, Carol A. Pamer, Oanh Dang, Sonja Brajovic, Shahrukh Haider, Taxiarchis Botsis, David Milward, Andrew Winter, Susan Lu, Robert Ball:
Evaluation of Natural Language Processing (NLP) systems to annotate drug product labeling with MedDRA terminology. 73-86
- Enea Parimbelli, Simone Marini, Lucia Sacchi, Riccardo Bellazzi:
Patient similarity for precision medicine: A systematic review. 87-96 - Alessia Paglialonga, Alessandra Lugo, Eugenio Santoro:
An overview on the emerging area of identification, characterization, and assessment of health apps. 97-102
- Lang He, Cui Cao:
Automated depression analysis using convolutional neural networks from speech. 103-111 - Sanjay Purushotham, Chuizheng Meng, Zhengping Che, Yan Liu:
Benchmarking deep learning models on large healthcare datasets. 112-134 - Ling Zheng, Yan Chen, Gai Elhanan, Yehoshua Perl, James Geller, Christopher Ochs:
Complex overlapping concepts: An effective auditing methodology for families of similarly structured BioPortal ontologies. 135-149
- Mohamed Abdelhamid:
Greater patient health information control to improve the sustainability of health information exchanges. 150-158
- Smaranda Belciug, Florin Gorunescu:
Learning a single-hidden layer feedforward neural network using a rank correlation-based strategy with application to high dimensional gene expression and proteomic spectra datasets in cancer detection. 159-166 - Stephen T. Wu, Sijia Liu, Sunghwan Sohn, Sungrim Moon, Chung-Il Wi, Young J. Juhn, Hongfang Liu:
Modeling asynchronous event sequences with RNNs. 167-177 - Jingfeng Chen, Leilei Sun, Chonghui Guo, Wei Wei, Yanming Xie:
A data-driven framework of typical treatment process extraction and evaluation. 178-195 - Stefan Kraus, Marc Rosenbauer, Lutz Schröder, Thomas Bürkle, Klaus-Peter Adlassnig, Dennis Toddenroth:
A detailed analysis of the Arden Syntax expression grammar. 196-203 - Farnaz Sabahi:
Bimodal fuzzy analytic hierarchy process (BFAHP) for coronary heart disease risk assessment. 204-216 - Houcemeddine Turki, Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha:
MeSH qualifiers, publication types and relation occurrence frequency are also useful for a better sentence-level extraction of biomedical relations. 217-218 - Yijia Zhang:
Letter to the Editor (Response from author): MeSH qualifiers, publication types and relation occurrence frequency are also useful for a better sentence-level extraction of biomedical relations. 219
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