MAPPING E-CONTENT TO DOMAIN ONTOLOGY FOR EDUCATION AND AWARENESS OF NUCLEAR HAZARDS

2017 ◽  
Author(s):  
Anca Daniela Ionita ◽  
Adriana Olteanu ◽  
Radu Nicolae Pietraru ◽  
Ilie Constantin Prisecaru
Keyword(s):  
Domain Ontology ◽  
Education And Awareness

A Methodical Text Mining on a Rationale of Domain Ontology

2019 ◽  
Author(s):  
Bhavan Kumar B ◽  
Vishal B L S R K ◽  
Bhargav K.R. ◽  
Revanth V ◽  
Chintakani Sai Gireesh
Keyword(s):  
Text Mining ◽  
Domain Ontology

The use of a Domain Ontology for the Management of Essential Hypertension (Preprint)

2020 ◽  
Author(s):  
Emma Chavez ◽  
Vanessa Perez ◽  
Angélica Urrutia
Keyword(s):  
Decision Making ◽  
Essential Hypertension ◽  
Medical History ◽  
Medical Records ◽  
Medical Training ◽  
Relevant Information ◽  
Domain Ontology ◽  
Free Text ◽  
Snomed Ct ◽  
History Of

BACKGROUND : Currently, hypertension is one of the diseases with greater risk of mortality in the world. Particularly in Chile, 90% of the population with this disease has idiopathic or essential hypertension. Essential hypertension is characterized by high blood pressure rates and it´s cause is unknown, which means that every patient might requires a different treatment, depending on their history and symptoms. Different data, such as history, symptoms, exams, etc., are generated for each patient suffering from the disease. This data is presented in the patient’s medical record, in no order, making it difficult to search for relevant information. Therefore, there is a need for a common, unified vocabulary of the terms that adequately represent the diseased, making searching within the domain more effective. OBJECTIVE The objective of this study is to develop a domain ontology for essential hypertension , therefore arranging the more significant data within the domain as tool for medical training or to support physicians’ decision making will be provided. METHODS The terms used for the ontology were extracted from the medical history of de-identified medical records, of patients with essential hypertension. The Snomed-CT’ collection of medical terms, and clinical guidelines to control the disease were also used. Methontology was used for the design, classes definition and their hierarchy, as well as relationships between concepts and instances. Three criteria were used to validate the ontology, which also helped to measure its quality. Tests were run with a dataset to verify that the tool was created according to the requirements. RESULTS An ontology of 310 instances classified into 37 classes was developed. From these, 4 super classes and 30 relationships were obtained. In the dataset tests, 100% correct and coherent answers were obtained for quality tests (3). CONCLUSIONS The development of this ontology provides a tool for physicians, specialists, and students, among others, that can be incorporated into clinical systems to support decision making regarding essential hypertension. Nevertheless, more instances should be incorporated into the ontology by carrying out further searched in the medical history or free text sections of the medical records of patients with this disease.

scholarly journals Improving TB infection control in a regional hospital in the Eastern Cape, South Africa

2019 ◽  
Vol 8 (1) ◽  
pp. bmjoq-2018-000347 ◽  
Author(s):  
Ilsa Louisa Haeusler ◽  
Felicity Knights ◽  
Vishaal George ◽  
Andy Parrish
Keyword(s):  
South Africa ◽  
Eastern Cape ◽  
Post Intervention ◽  
Hospital Policy ◽  
Staff Members ◽  
Root Cause ◽  
Number Of Patients ◽  
Service Training ◽  
Education And Awareness ◽  
Awareness Raising

This quality improvement (QI) work was carried out in Cecilia Makiwane Hospital (CMH), a regional public hospital in the Eastern Cape, South Africa (SA). SA has among the highest incidence of tuberculosis (TB) in the world and this is a leading cause of death in SA. Nosocomial infection is an important source of TB transmission. Adherence to TB infection prevention control (IPC) measures in the medical inpatient department was suboptimal at CMH. The overall aim of this QI project was to make sustainable improvements in TB IPC. A multidisciplinary team was formed to undertake a root cause analysis and develop a strategy for change. The main barriers to adherence to IPC measures were limited knowledge of IPC methods and stigma associated with TB. Specifically, the project aimed to increase the number of: ‘airborne precaution’ signs placed above patients’ beds, patients correctly isolated and patients wearing surgical face masks. Four Plan-Do-Study-Act cycles were used. The strategy for change involved education and awareness-raising in different formats, including formal in-service training delivered to nurses and doctors, a hospital-wide TB awareness week with engaging activities and competitions, and a World TB Day provincial solidarity march. Data on adherence to the three IPC measures were collected over an 8-month period. Pre-intervention (October 2016), a mean of 2% of patients wore face masks, 22% were correctly isolated and 12% had an airborne precaution sign. Post-intervention (May 2017), the compliance improved to 17%, 50% and 25%, respectively. There was a large variation in compliance to each measure. Improvement was greatest in the number of patients correctly isolated. We learnt it is important to work with, not in parallel to, existing teams or structures during QI work. On-the-ground training of nurses and clinicians should be undertaken alongside engagement of senior staff members and managers. This improves the chance of change being adopted into hospital policy.

scholarly journals Domain ontology of social sustainable development

2021 ◽  
Author(s):  
Adelina Ivanova ◽  
Boryana Deliyska ◽  
Vladislav Todorov
Keyword(s):  
Sustainable Development ◽  
Domain Ontology

Research Ethics Committees’ Oversight of Biomedical Research in South Africa: A Thematic Analysis of Ethical Issues Raised During Ethics Review of Non-Expedited Protocols

2019 ◽  
Vol 14 (2) ◽  
pp. 107-116 ◽  
Author(s):  
Blessing Silaigwana ◽  
Douglas Wassenaar
Keyword(s):  
South Africa ◽  
Research Ethics ◽  
South African ◽  
Biomedical Research ◽  
Ethical Issues ◽  
Ethics Committees ◽  
Financial Contracts ◽  
Scientific Validity ◽  
Participant Selection ◽  
Education And Awareness

In South Africa, biomedical research cannot commence until it has been reviewed and approved by a local research ethics committee (REC). There remains a dearth of empirical data on the nature and frequency of ethical issues raised by such committees. This study sought to identify ethical concerns typically raised by two South African RECs. Meeting minutes for 180 protocols reviewed between 2009 and 2014 were coded and analyzed using a preexisting framework. Results showed that the most frequent queries involved informed consent, respect for participants, and scientific validity. Interestingly, administrative issues (non-ethical) such as missing researchers’ CVs and financial contracts emerged more frequently than ethical questions such as favorable risk/benefit ratio and fair participant selection. Although not generalizable to all RECs, our data provide insights into two South African RECs’ review concerns. More education and awareness of the actual ethical issues typically raised by such committees might help improve review outcomes and relationships between researchers and RECs.

Research on Knowledge Discovery and Stock Forecasting of Financial News Based on Domain Ontology

2019 ◽  
Vol 18 (03) ◽  
pp. 953-979 ◽  
Author(s):  
Lingling Zhang ◽  
Minghui Zhao ◽  
Zili Feng
Keyword(s):  
Knowledge Acquisition ◽  
Knowledge Discovery ◽  
Tacit Knowledge ◽  
Explicit Knowledge ◽  
Academic Research ◽  
Online News ◽  
Domain Ontology ◽  
General Mechanism ◽  
Financial News ◽  
Knowledge Reasoning

In the era of big data, how to obtain useful knowledge from online news and utilize it as an important basis to make investment decision has become the hotspot of industrial and academic research. At present, there have been research and practice on explicit knowledge acquisition from news, but tacit knowledge acquisition is still under exploration. Based on the general mechanism of domain knowledge, knowledge reasoning, and knowledge discovery, this paper constructs a framework for discovering tacit knowledge from news and applying the knowledge to stock forecasting. The concrete work is as follows: First, according to the characteristics of financial field and the conceptual cube, the conceptual structure of industry–company–product is constructed, and the framework of domain ontology is put forward. Second, with the construction of financial field ontology, the financial news knowledge management framework is proposed. Besides, with the application of attributes in ontology and domain rules extracted from news text, the knowledge reasoning mechanism of financial news is constructed to achieve financial news knowledge discovery. Finally, news knowledge that reflects important information about stock changes is integrated into the traditional stock price forecasting model and the newly proposed model performs well in the empirical analysis of polyester industry.

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