Search Results - "Shen, Feichen"

A comparison of word embeddings for the biomedical natural language processing by Wang, Yanshan, Liu, Sijia, Afzal, Naveed, Rastegar-Mojarad, Majid, Wang, Liwei, Shen, Feichen, Kingsbury, Paul, Liu, Hongfang

“…[Display omitted] •Word embeddings trained from clinical notes, literature, Wikipedia, and news are compared.•Word embeddings trained from clinical notes and…”
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Clinical information extraction applications: A literature review by Wang, Yanshan, Wang, Liwei, Rastegar-Mojarad, Majid, Moon, Sungrim, Shen, Feichen, Afzal, Naveed, Liu, Sijia, Zeng, Yuqun, Mehrabi, Saeed, Sohn, Sunghwan, Liu, Hongfang

“…[Display omitted] •A literature review for clinical information extraction applications.•1917 publications were identified for title and abstract…”
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Knowledge Discovery from Biomedical Ontologies in Cross Domains by Shen, Feichen, Lee, Yugyung

“…In recent years, there is an increasing demand for sharing and integration of medical data in biomedical research. In order to improve a health care system, it…”
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MedSTS: a resource for clinical semantic textual similarity by Wang, Yanshan, Afzal, Naveed, Fu, Sunyang, Wang, Liwei, Shen, Feichen, Rastegar-Mojarad, Majid, Liu, Hongfang

“…The adoption of electronic health records (EHRs) has enabled a wide range of applications leveraging EHR data. However, the meaningful use of EHR data largely…”
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A clinical text classification paradigm using weak supervision and deep representation by Wang, Yanshan, Sohn, Sunghwan, Liu, Sijia, Shen, Feichen, Wang, Liwei, Atkinson, Elizabeth J, Amin, Shreyasee, Liu, Hongfang

“…Automatic clinical text classification is a natural language processing (NLP) technology that unlocks information embedded in clinical narratives. Machine…”
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Comparison of village dog and wolf genomes highlights the role of the neural crest in dog domestication by Pendleton, Amanda L, Shen, Feichen, Taravella, Angela M, Emery, Sarah, Veeramah, Krishna R, Boyko, Adam R, Kidd, Jeffrey M

“…Domesticated from gray wolves between 10 and 40 kya in Eurasia, dogs display a vast array of phenotypes that differ from their ancestors, yet mirror other…”
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Deep Phenotyping on Electronic Health Records Facilitates Genetic Diagnosis by Clinical Exomes by Son, Jung Hoon, Xie, Gangcai, Yuan, Chi, Ena, Lyudmila, Li, Ziran, Goldstein, Andrew, Huang, Lulin, Wang, Liwei, Shen, Feichen, Liu, Hongfang, Mehl, Karla, Groopman, Emily E., Marasa, Maddalena, Kiryluk, Krzysztof, Gharavi, Ali G., Chung, Wendy K., Hripcsak, George, Friedman, Carol, Weng, Chunhua, Wang, Kai

“…Integration of detailed phenotype information with genetic data is well established to facilitate accurate diagnosis of hereditary disorders. As a rich source…”
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Systematic identification of latent disease-gene associations from PubMed articles by Zhang, Yuji, Shen, Feichen, Mojarad, Majid Rastegar, Li, Dingcheng, Liu, Sijia, Tao, Cui, Yu, Yue, Liu, Hongfang

“…Recent scientific advances have accumulated a tremendous amount of biomedical knowledge providing novel insights into the relationship between molecular and…”
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Rare disease knowledge enrichment through a data-driven approach by Shen, Feichen, Zhao, Yiqing, Wang, Liwei, Mojarad, Majid Rastegar, Wang, Yanshan, Liu, Sijia, Liu, Hongfang

“…Existing resources to assist the diagnosis of rare diseases are usually curated from the literature that can be limited for clinical use. It often takes…”
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PO2RDF: representation of real-world data for precision oncology using resource description framework by Zhao, Yiqing, Dimou, Anastasios, Shen, Feichen, Zong, Nansu, Davila, Jaime I, Liu, Hongfang, Wang, Chen

“…Abstract Background Next-generation sequencing provides comprehensive information about individuals’ genetic makeup and is commonplace in precision oncology…”
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Discovering associations between problem list and practice setting by Wang, Liwei, Wang, Yanshan, Shen, Feichen, Rastegar-Mojarad, Majid, Liu, Hongfang

“…The Health Information Technology for Economic and Clinical Health Act (HITECH) has greatly accelerated the adoption of electronic health records (EHRs) with…”
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Detecting Pharmacovigilance Signals Combining Electronic Medical Records With Spontaneous Reports: A Case Study of Conventional Disease-Modifying Antirheumatic Drugs for Rheumatoid Arthritis by Wang, Liwei, Rastegar-Mojarad, Majid, Ji, Zhiliang, Liu, Sijia, Liu, Ke, Moon, Sungrim, Shen, Feichen, Wang, Yanshan, Yao, Lixia, Davis Iii, John M, Liu, Hongfang

“…Multiple data sources are preferred in adverse drug event (ADEs) surveillance owing to inadequacies of single source. However, analytic methods to monitor…”
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SMARTSPACE: Multiagent Based Distributed Platform for Semantic Service Discovery by Dasgupta, Sourish, Aroor, Anoop, Feichen Shen, Yugyung Lee

“…Service discovery is an integral issue in the area of service oriented computing (SOC). A centralized platform based service discovery suffers from major…”
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Using semantic web technologies for quality measure phenotyping algorithm representation and automatic execution on EHR data by Feichen Shen, Dingcheng Li, Hongfang Liu, Yugyung Lee, Pathak, Jyotishman, Chute, Christopher G., Cui Tao

“…In this paper, we introduce our efforts on an application of semantic web technologies to phenotyping algorithms in Electronic Health Records (EHR) data for…”
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A pervasive framework for real-time activity patterns of mobile users by Feichen Shen

“…Given the rise of ubiquitous computing and communication devices like biosensors, smart watch, and smartphones, real-time online systems can provide users with…”
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The 2019 National Natural language processing (NLP) Clinical Challenges (n2c2)/Open Health NLP (OHNLP) shared task on clinical concept normalization for clinical records by Henry, Sam, Wang, Yanshan, Shen, Feichen, Uzuner, Ozlem

“…The 2019 National Natural language processing (NLP) Clinical Challenges (n2c2)/Open Health NLP (OHNLP) shared task track 3, focused on medical concept…”
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Constructing co-occurrence network embeddings to assist association extraction for COVID-19 and other coronavirus infectious diseases by Oniani, David, Jiang, Guoqian, Liu, Hongfang, Shen, Feichen

“…Abstract Objective As coronavirus disease 2019 (COVID-19) started its rapid emergence and gradually transformed into an unprecedented pandemic, the need for…”
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Incorporating Knowledge-Driven Insights into a Collaborative Filtering Model to Facilitate the Differential Diagnosis of Rare Diseases by Shen, Feichen, Liu, Hongfang

“…Rare diseases, although individually rare, collectively affect one in ten Americans. Because of their rarity, patients with rare diseases are typically left…”
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Corrigendum to: The 2019 National Natural language processing (NLP) Clinical Challenges (n2c2)/Open Health NLP (OHNLP) shared task on clinical concept normalization for clinical records by Henry, Sam, Wang, Yanshan, Shen, Feichen, Uzuner, Ozlem

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Clinical concept extraction: A methodology review by Fu, Sunyang, Chen, David, He, Huan, Liu, Sijia, Moon, Sungrim, Peterson, Kevin J., Shen, Feichen, Wang, Liwei, Wang, Yanshan, Wen, Andrew, Zhao, Yiqing, Sohn, Sunghwan, Liu, Hongfang

“…[Display omitted] Concept extraction, a subdomain of natural language processing (NLP) with a focus on extracting concepts of interest, has been adopted to…”
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