scholarly journals Semantic Indexing of Medical Learning Objects: Medical Students' Usage of a Semantic Network

2015 ◽  
Vol 1 (2) ◽  
pp. e16
Author(s):  
Nadine Tix ◽  
Paul Gießler ◽  
Ursula Ohnesorge-Radtke ◽  
Cord Spreckelsen
Keyword(s):  
Medical Students ◽  
Semantic Network ◽  
Learning Objects ◽  
Semantic Indexing ◽  
Medical Learning

scholarly journals KNOWLEDGE AND ATTITUDE TOWARDS GERIATRIC HEALTH AND THE ASSOCIATED FACTORS AMONG MEDICAL STUDENTS OF INTERNATIONAL ISLAMIC UNIVERSITY MALAYSIA

2021 ◽  
Vol 21 (3) ◽  
pp. 151-163
Author(s):  
Mohd Shaiful Ehsan Shalihin ◽  
Nuria Syafira Abd Muttalib ◽  
Nur Syahirah Azmi ◽  
Zahra Najwa Mohd Zin
Keyword(s):  
Medical Students ◽  
Associated Factors ◽  
Cross Sectional Study ◽  
Attitude Scale ◽  
Chi Square ◽  
Cross Sectional ◽  
Chi Square Test ◽  
Medical Learning ◽  
Knowledge And Attitude ◽  
Basic Medical

Comprehensive care towards geriatric health can be sustained by having good knowledge and attitude among the providers. Hence, this research aims to measure the knowledge and attitude of the final year medical students towards geriatric health and determine the associated factors. A cross-sectional study was conducted among the students using structured questionnaires of Geriatric-Attitude-Scale and Palmore-Facts-on-Aging-Quiz was used. Data was analysed using Mann Whitney U test, Chi square test and Spearman correlation coefficient analysis for the association between the score and studied variables. Median score of students’ knowledges is at 14.00 (IQR 13.00) and mean score for attitude is 48.52 (+5.53) respectively. Place of residence (P= 0.01) and presence of grandparents (P= 0.04) were the significant factors that affected knowledge of students towards geriatrics while number of siblings (P= 0.05) influenced attitudes of students towards geriatrics. Improvement of current geriatric curriculum should be done with more refined implementation of gerontology course in the basic medical learning.

scholarly journals Multidisciplinary Conferences for Radiology Teaching: Why Medical Students Should See the Significance of Imaging and Lifelong Learning

2020 ◽  
Vol 2 (4) ◽  
pp. 1-9
Author(s):  
Ilona Petsch ◽  
Aglaé Velasco González ◽  
Boris Buerke
Keyword(s):  
Medical Students ◽  
Lifelong Learning ◽  
Image Interpretation ◽  
Future Clinical Practice ◽  
Medical Discipline ◽  
Medical Learning ◽  
Radiology Teaching ◽  
Medical Disciplines ◽  
Clinical Departments

Radiology interfaces with all medical disciplines. Whether medical students pursue a career in radiology or any other medical discipline, as future physicians they will always come across imaging at multidisciplinary conferences (MCs). Students at all departments are confronted with imaging in their studies. It is therefore important they recognize the role of radiology in patient care. With imaging being imperative for patient management, radiology is indispensable at MCs. Radiologists cooperate with all clinical departments, and are often final to be asked for decisions at MCs. Joining MCs can prepare students for image interpretation and demonstration in their future clinical practice. MCs can complement to teaching in busy clinical routine. MCs embody educational grounds of lifelong medical learning for radiologists and other physicians. As medical students are going to enter a profession of lifelong learning, MCs can likewise offer valuable educational opportunities. The article presents three reasons to seize MCs as potential teaching opportunities for medical students in radiology: 1. the significance of radiology for MCs; 2. preparation of medical students for MCs; and 3. exploration of MCs for lifelong learning.

scholarly journals Developing Medical Learning Materials to Promote Learners’ Creativity: A Corpus-based Case Study

2020 ◽  
Vol 11 (4) ◽  
pp. 181-193
Author(s):  
Junwei Niu ◽  
Mogana Dhamotharan
Keyword(s):  
Medical Students ◽  
Language Learners ◽  
Native Speaker ◽  
Mainland China ◽  
Learning Materials ◽  
Starting Point ◽  
Long Time ◽  
Practice Opportunities ◽  
Medical Learning ◽  
Medical University

For a long time in Mainland China, there exists a need for authentic supplementary materials and an extensive native speaker environment in courses like English as a Foreign Language and English for Specific Purposes. Yet, how to promote learners’ creativity in the process of developing medical learning materials practice? This study aims to develop certain medical learning materials as an Enriched Corpus-Based English Supplement. Developing those proper medical learning materials for medical learners can help them to develop relevant strategies of corpus-based learning creatively. It had been conducted from December 2016 to November 2019 with four teachers and 180 third-year medical students at Xinxiang Medical University in the Medical English course. Mixed methods were chosen to observe and investigate the use of ECBES among third-year medical students. Both quantitative and qualitative data in the learning process and the outcome had been collected and analyzed. The practice showed that more than 60% of the learners thought they were language learners; their needs were the starting point of enriching creative supplementary materials. Quantitative data of learners’ production after the practice were displayed, which implied that the ECBES practice of four skills was practical and useful. Then it discussed several aspects of qualitative indexes for the learners’ creative production, such as their choosing autonomy opportunities, practice opportunities from the learners’ views. The findings suggested that certain corpus-based materials could be developed to promote learners’ creativity in ESP learning.

scholarly journals The Process of Clinical Reasoning among Medical Students

2018 ◽  
Vol 42 (3) ◽  
pp. 194-200
Author(s):  
Djon Machado Lopes ◽  
Gustavo Henrique Bregagnollo ◽  
Bruna Morais Barbosa ◽  
Ana Maria Nunes de Faria Stamm
Keyword(s):  
Internal Medicine ◽  
Medical Students ◽  
Clinical Reasoning ◽  
Semantic Network ◽  
Simple Random Sample ◽  
Reasoning Process ◽  
Analysis Process ◽  
Group 2 ◽  
Shed Light ◽  
Group 1

ABSTRACT Introduction Research in the field of medical reasoning has shed light on the reasoning process used by medical students. The strategies in this process are related to the analytical [hypothetical-deductive (HD)] and nonanalytic [scheme-inductive) (SI)] systems, and pattern recognition (PR)]. Objective To explore the clinical reasoning process of students from the fifth year of medical school at the end of the clinical cycle of medical internship, and to identify the strategies used in preparing diagnostic hypotheses, knowledge organization and content. Method Qualitative research conducted in 2014 at a Brazilian public university with medical interns. Following Stamm’s method, a case in internal medicine (IM) was built based on the theory of prototypes (Group 1 = 47 interns), in which the interns listed, according to their own perceptions, the signs, symptoms, syndromes, and diseases typical of internal medicine. This case was used for evaluating the clinical reasoning process of Group 2 (30 students = simple random sample) obtained with the “think aloud” process. The verbalizations were transcribed and evaluated by Bardin’s thematic analysis. The content analysis were approved by two experts at the beginning and at the end of the analysis process. Results The interns developed 164 primary and secondary hypotheses when solving the case. The SI strategy prevailed with 48.8%, followed by PR (35.4%), HD (12.2%), and mixed (1.8 % each: SI + HD and HD + PR). The students built 146 distinct semantic axes, resulting in an average of 4.8/participant. During the analysis, 438 interpretation processes were executed (average of 14.6/participant), and 124 combination processes (average of 4.1/participant). Conclusions The nonanalytic strategies prevailed with the PR being the most used in the development of primary hypotheses (46.8%) and the SI in secondary hypotheses (93%). The interns showed a strong semantic network and did three and a half times more interpretation than combination processes, reflecting less deep organization and content of knowledge when compared with experienced physicians.

scholarly journals Generation of reusable learning objects from digital medical collections: An analysis based on the MASMDOA framework

2021 ◽  
Vol 27 (1) ◽  
pp. 146045822097758
Author(s):  
Félix Buendía ◽  
Joaquín Gayoso-Cabada ◽  
José-Luis Sierra
Keyword(s):  
Medical Students ◽  
Medical Knowledge ◽  
Learning Objects ◽  
Instructional Materials ◽  
Learning Object ◽  
User Profiles ◽  
Knowledge Sources ◽  
Reusable Learning Objects ◽  
E Learning ◽  
Learning Platforms

Learning Objects represent a widespread approach to structuring instructional materials in a large variety of educational contexts. The main aim of this work consists of analyzing the process of generating reusable learning objects followed by Clavy, a tool that can be used to retrieve data from multiple medical knowledge sources and reconfigure such sources in diverse multimedia-based structures and organizations. From these organizations, Clavy is able to generate learning objects that can be adapted to various instructional healthcare scenarios with several types of user profiles and distinct learning requirements. Moreover, Clavy provides the capability of exporting these learning objects through standard educational specifications, which improves their reusability features. The analysis proposed is conducted following criteria defined by the MASMDOA framework for comparing and selecting learning object generation methodologies. The analysis insights highlight the importance of having a tool to transfer knowledge from the available digital medical collections to learning objects that can be easily accessed by medical students and healthcare practitioners through the most popular e-learning platforms.

Exploring Fuzzy Association Rules in Semantic Network Enrichment Improvement of the Semantic Indexing Process

2018 ◽  
pp. 149-169
Author(s):  
Souheyl Mallat ◽  
Emna Hkiri ◽  
Mounir Zrigui
Keyword(s):  
Association Rules ◽  
Language Processing ◽  
Semantic Network ◽  
Semantic Indexing ◽  
Statistical Process ◽  
Text Documents ◽  
Fuzzy Association Rules ◽  
Conceptual Network ◽  
Index Terms ◽  
Multilingual Text

In the aim of natural language processing applications improvement, we focus on statistical approach to semantic indexing for multilingual text documents based on conceptual network formalism. We propose to use this formalism as an indexing language to represent the descriptive concepts and their weighting. Our contribution is based on two steps. In the first step, we propose the extraction of index terms using the multilingual lexical resource EuroWordNet (EWN). In the second step, we pass from the representation of index terms to the representation of index concepts through conceptual network formalism. This network is generated using the EWN resource and pass by a classification step based on association rules modelOur proposed indexing approach can be applied to text documents in various languages. Next, we apply the same statistical process regardless of the language in order to extract the significant concepts and their associated weights. We prove that the proposed indexing approach provides encouraging results.

Design of a Web Portal for Interdisciplinary Image Retrieval from Multiple Online Image Resources

2009 ◽  
Vol 48 (04) ◽  
pp. 361-370 ◽  
Author(s):  
T. Frankewitsch ◽  
H.-U. Prokosch ◽  
F. J. Kammerer
Keyword(s):  
Medical Students ◽  
Learning Environment ◽  
Semantic Network ◽  
Access Point ◽  
Image Databases ◽  
Web Portal ◽  
The Us ◽  
First Results ◽  
Icd 10 ◽  
Navigation Structure

Summary Objectives: Images play an important role in medicine. Finding the desired images within the multitude of online image databases is a time-consuming and frustrating process. Existing websites do not meet all the requirements for an ideal learning environment for medical students. This work intends to establish a new web portal providing a centralized access point to a selected number of online image databases. Methods: A back-end system locates images on given websites and extracts relevant meta-data. The images are indexed using UMLS and the MetaMap system provided by the US National Library of Medicine. Specially developed functions allow to create individual navigation structures. The front-end system suits the specific needs of medical students. A navigation structure consisting of several medical fields, university curricula and the ICD-10 was created. The images may be accessed via the given navigation structure or using different search functions. Cross-references are provided by the semantic relations of the UMLS. Results: Over 25,000 images were identified and indexed. A pilot evaluation among medical students showed good first results concerning the acceptance of the developed navigation structures and search features. Conclusion: The integration of the images from different sources into the UMLS semantic network offers a quick and an easy-to-use learning environment.

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