A5100758589- Biomedical Text Mining and Ontologies
- Semantic Web and Ontologies
- Topic Modeling
- linguistics and terminology studies
- Natural Language Processing Techniques
- Bioinformatics and Genomic Networks
- Genomics and Rare Diseases
- Cardiovascular Function and Risk Factors
- Innovative Educational Techniques
- Machine Learning in Healthcare
- Geological Modeling and Analysis
- Computational Drug Discovery Methods
- Machine Learning in Bioinformatics
- Synthetic Organic Chemistry Methods
- Advanced Text Analysis Techniques
- Microbial Applications in Construction Materials
- Peroxisome Proliferator-Activated Receptors
- Mycobacterium research and diagnosis
- Marine Sponges and Natural Products
- Metabolism, Diabetes, and Cancer
- Simulation and Modeling Applications
- Rough Sets and Fuzzy Logic
- Genetics, Bioinformatics, and Biomedical Research
- Electronic Health Records Systems
State Key Laboratory of Digital Medical Engineering
2024
Monmouth University
2018-2023
Nanjing Tech University
2022
New Jersey Institute of Technology
2017
Zhejiang University
2014
North China Electric Power University
2012
University of Southern California
2006
To determine the effect of thiazolidinedione treatment on subclinical atherosclerosis progression in insulin-requiring patients with clinical characteristics suggesting type 2 diabetes.Eligible participants (n = 299) were randomized within strata baseline common carotid artery (CCA) intima-media thickness (IMT) (<0.8 mm, >or=0.8 mm) to 400 mg troglitazone daily or placebo for years. A general linear mixed-effects model was used compare rate change CCA-IMT between groups.Overall, average...
Abstract Background The current COVID-19 pandemic and the previous SARS/MERS outbreaks of 2003 2012 have resulted in a series major global public health crises. We argue that interest developing effective safe vaccines drugs to better understand coronaviruses associated disease mechenisms it is necessary integrate large exponentially growing body heterogeneous coronavirus data. Ontologies play an important role standard-based knowledge data representation, integration, sharing, analysis....
Two years into the COVID-19 pandemic and with more than five million deaths worldwide, healthcare establishment continues to struggle every new wave of resulting from a coronavirus variant. Research has demonstrated that there are variations in symptoms, even order symptom presentations, patients infected by different SARS-CoV-2 variants (e.g., Alpha Omicron). Textual data form admission notes physician Electronic Health Records (EHRs) is rich information regarding symptoms their orders...
Ontologies are knowledge structures that lend support to many health-information systems. A study is carried out assess the quality of ontological concepts based on a measure their complexity. The results show relation between complexity and error rates concepts.A lateral defined as number exhibited role types used distinguish more complex simpler concepts. Using framework called an area taxonomy, kind abstraction network summarizes structural organization ontology, divided into two groups...
Abstract Background The extensive international research for medications and vaccines the devastating COVID-19 pandemic requires a standard reference ontology. Among current ontologies, Coronavirus Infectious Disease Ontology (CIDO) is largest one. Furthermore, it keeps growing very frequently. Researchers using CIDO as ontology, need quick update about content added in recent release to know how relevant new concepts are their needs. Although only medium size still large knowledge base...
The National Cancer Institute thesaurus is an important knowledge resource that should ideally be error-free. We investigated the occurrence of errors in Neoplasm subhierarchy, which a part Disease, Disorder or Finding hierarchy. There are five key findings this study. (1) Errors subhierarchy not uniformly distributed. (2) A partial-area taxonomy, compact network for summarizing structure and content ontology, helped uncover groups concepts, called "small partial-areas," subhierarchy. (3)...
Self-healing cement takes advantage of microbial induced carbonate precipitation (MICP), a meritorious biological process, to achieve automatic healing cracks. In this study, two beneficial factors, optimization the bacteria culture medium and encapsulation bacterial spores, were used improve MICP efficiency Sporosarcina pasteurii in self-healing cement. On one hand, optimization, we compared growth fed with generally nitrogen sources, e.g., urea ammonium chloride, found that chloride can...
The Gene hierarchy of the National Cancer Institute (NCI) Thesaurus (NCIt) is high priority for NCI. It important to have quality assurance (QA) techniques improve its content quality. We present a two-step methodology concentrating on auditing modeling complex concepts, which are shown higher error rate compared control concepts. In first step, we test whether concepts that appear in so called "partial-area taxonomy" than second introduce an innovative technique based sub-taxonomy"...
Abstract Background Summarization networks are compact summaries of ontologies. The “Big Picture” view offered by summarization enables to identify sets concepts that more likely have errors than control concepts. For ontologies outgoing lateral relationships, we developed the "partial-area taxonomy" network. Prior research has identified one kind outlier concepts, small partials-areas within partial-area taxonomies. Previously shown technique works successfully for four (or their...
Ontologies are integral components of many health information processing environments. Hence, quality assurance (QA) the conceptual content any ontology is essential. A methodology for facilitating identification and correction a kind error called "missing-role error" concepts presented. Specifically, being member "null-role set" used as an indicator that missing-role errors likely. Our QA was applied to Biological Process hierarchy, one hierarchies National Cancer Institute thesaurus...
The Chemical Entities of Biological Interest (ChEBI) ontology is an important reference for applications dealing with chemical annotations and data mining. Modeling errors inconsistencies in the large complex ChEBI are unavoidable. can adversely affect depen dent on it. We present a quality assurance (QA) methodology based correspondence between concept’s number its distinct relationship types – intuitive measure complexity. Specifically, we hypothesize that concepts more tend to concentrate...
Abstract Background Ontologies house various kinds of domain knowledge in formal structures, primarily the form concepts and associative relationships between them. have become integral components many health information processing environments. Hence, quality assurance conceptual content any ontology is critical. Relationships are foundational to definition concepts. Missing relationship errors (i.e., unintended omissions important definitional relationships) can a deleterious effect on an...
At present, along with the development of power information technology, research visualization equipment status has become main work. This paper analyzes existing system and finds that equipments are displayed by two-dimensional graphics, cannot give a really reflection surrounding environment. In order to solve this problem, proposes solution which uses three dimensional panoramic technologies in electrical system. The scheme realizes virtual scene construction is based on static images;...
Nowadays, a growing number of researchers devote themselves to re-excavation existing biomedical knowledge discovery, focusing on how establish associations between clinical and genomic data. However, quantitative analysis is still inadequate for particular disease. Colorectal cancer the one malignant tumors whose molecular mechanism relatively clear, making it more appropriate object study. This paper proposed measurement clinic-genomic colorectal based Google Distance, using MEDLINE...
Adverse drug reactions (ADRs) cause many hospitalizations and cases of mortality every year. A comprehensive list potential ADRs for each is essential assessing patients' risks when prescribing a medication. The Medication Reference Terminology (MED-RT) new terminology developed by the Veterans Health Administration. In this study, we examine whether summarization chemical ingredients in MED-RT can support identifying knowledge gaps lists ADRs. virtual terminology, which does not maintain...