scholarly journals A Knowledge Graph Enhanced Learner Model to Predict Outcomes to Questions in the Medical Field

2020 ◽  
pp. 237-251
Author(s):  
Antonia Ettorre ◽  
Oscar Rocha Rodríguez ◽  
Catherine Faron ◽  
Franck Michel ◽  
Fabien Gandon
Keyword(s):  
Knowledge Graph ◽  
Medical Field ◽  
Learner Model

scholarly journals Research on Medical Knowledge Graph for Stroke

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Binjie Cheng ◽  
Jin Zhang ◽  
Hong Liu ◽  
Meiling Cai ◽  
Ying Wang
Keyword(s):  
Medical Knowledge ◽  
Similarity Measures ◽  
Graph Model ◽  
Knowledge Graph ◽  
Medical Field ◽  
Graph Models ◽  
Experimental Part ◽  
External Data ◽  
Embedded Model ◽  
Knowledge Graphs

Knowledge graph can effectively analyze and construct the essential characteristics of data. At present, scholars have proposed many knowledge graph models from different perspectives, especially in the medical field, but there are still relatively few studies on stroke diseases using medical knowledge graphs. Therefore, this paper will build a medical knowledge graph model for stroke. Firstly, a stroke disease dictionary and an ontology database are built through the international standard medical term sets and semiautomatic extraction-based crowdsourcing website data. Secondly, the external data are linked to the nodes of the existing knowledge graph via the entity similarity measures and the knowledge representation is performed by the knowledge graph embedded model. Thirdly, the structure of the established knowledge graph is modified continuously through iterative updating. Finally, in the experimental part, the proposed stroke medical knowledge graph is applied to the real stroke data and the performance of the proposed knowledge graph approach on the series of Trans ∗ models is compared.

scholarly journals Knowledge Graph Entity Similarity Calculation under Active Learning

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Lianhuan Li ◽  
Zheng Zhang ◽  
Shaoda Zhang
Keyword(s):  
Adaptive Learning ◽  
Knowledge Graph ◽  
Knowledge Map ◽  
Alignment Algorithm ◽  
Learning Resources ◽  
Learner Model ◽  
Learning Platform ◽  
Learning Path ◽  
Alignment Algorithms ◽  
Starting Point

To address the objectives of the adaptive learning platform, the requirements of the system in terms of business, functionality, and performance are mainly analysed, and the design of functions and database is completed; then, an updatable learner model is constructed based on the cognitive diagnosis model and resource preference attributes; then, the construction of the knowledge map is completed based on embedding to achieve knowledge point alignment, and based on this, the target knowledge points of learners are located with the help of deep learning; at the same time, the target knowledge points are taken as the starting point to generate the best learning path by traversing the knowledge map, and the corresponding learning resources and test questions are recommended for them with the help of the architecture; finally, the adaptive learning platform is developed in the environment using the architecture. Also, the target knowledge point is used as the starting point to traverse the knowledge map to generate the best learning path, and the corresponding learning resources and test questions are recommended for the learner in combination with the learner model; finally, this study adopts an architecture for the development of an adaptive learning platform in the environment to realize online tests, score analysis, resource recommendation, and other functions. A knowledge graph fusion system supporting interactive facilitation between entity alignment and attribute alignment is implemented. Under a unified conceptual layer, this system can combine entity alignment and attribute alignment to promote each other and truly achieve the final fusion of the two graphs. Our experimental results on real datasets show that the entity alignment algorithm proposed in this paper has a great improvement in accuracy compared with the previous mainstream alignment algorithms. Also, the attribute alignment algorithm proposed in this paper, which calculates the similarity based on associated entities, outperforms the traditional methods in terms of accuracy and recall.

Analysis of athletes’ stadium stress source based on improved layered K-means algorithm

2020 ◽  
Vol 39 (4) ◽  
pp. 5905-5914
Author(s):  
Chen Gong
Keyword(s):  
Experimental Data ◽  
Machine Learning Algorithms ◽  
User Preference ◽  
Experimental Comparison ◽  
Actual Situation ◽  
Medical Field ◽  
Pressure Source ◽  
Preference Model ◽  
Related Research ◽  
Analysis System

Most of the research on stressors is in the medical field, and there are few analysis of athletes’ stressors, so it can not provide reference for the analysis of athletes’ stressors. Based on this, this study combines machine learning algorithms to analyze the pressure source of athletes’ stadium. In terms of data collection, it is mainly obtained through questionnaire survey and interview form, and it is used as experimental data after passing the test. In order to improve the performance of the algorithm, this paper combines the known K-Means algorithm with the layering algorithm to form a new improved layered K-Means algorithm. At the same time, this paper analyzes the performance of the improved hierarchical K-Means algorithm through experimental comparison and compares the clustering results. In addition, the analysis system corresponding to the algorithm is constructed based on the actual situation, the algorithm is applied to practice, and the user preference model is constructed. Finally, this article helps athletes find stressors and find ways to reduce stressors through personalized recommendations. The research shows that the algorithm of this study is reliable and has certain practical effects and can provide theoretical reference for subsequent related research.

The Therapeutic and Diagnostic Value of Fluorine

2020 ◽  
Vol 4 (1) ◽  
pp. 17-29
Author(s):  
Isma Attique ◽  
Shabbir Hussain ◽  
Muhammad Amjad ◽  
Khalida Nazir ◽  
Muhammad Shahid Nazir
Keyword(s):  
Anticancer Agent ◽  
Chemotherapeutic Agent ◽  
Functional Materials ◽  
Diagnostic Value ◽  
Vital Role ◽  
Malignant Growth ◽  
Medical Field ◽  
Active Nucleus ◽  
Broad Application ◽  
Tracer Atom

Fluorine has a useful positron transmitting isotope and it enjoys broad application in the medical field. It is utilized in fluorinated agents,therapeutic sciences and steroid field. Fluorine incorporation viafluoroalkylation is a useful approach in the development of new functional materials and in drug design. Fluorine also plays its role as an anticancer agent and is a successful chemotherapeutic agent for certain sorts of malignant growth. 5-fluorouracil plays a vital role in the treatment of cancer. 18 Facts as a radio label tracer atom in PET imaging. 19 F has the second most sensitive and stable NMR-active nucleus.

Application of Light Sources to Medical Field

2011 ◽  
Vol 131 (5) ◽  
pp. 332-336
Author(s):  
Takafumi Mizojiri ◽  
Makoto Kimura
Keyword(s):  
Light Sources ◽  
Medical Field

Adaptasi Alat Ukur Kepuasan Kerja Untuk Tenaga K esehatan di Indonesia

PRAXIS ◽  
2019 ◽  
Vol 2 (1) ◽  
pp. 107
Author(s):  
Widawati Hapsari
Keyword(s):  
Job Satisfaction ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Medical Practitioner ◽  
Organizational Setting ◽  
Medical Field ◽  
Satisfaction Scale ◽  
Confirmatory Factor ◽  
Bahasa Indonesia

Abstract Job satisfaction has been an important topic of focus in the organizational setting for the last few decades. This research aims to validate job satisfaction scale in medical practitioner population. The 10 items in this scale consist of 4 extrinsic facet items and 5 intrinsic facet items. This intrument was adapted into Bahasa Indonesia as suggested by Beaton, et al. (2000) and analyzed using confirmatory factor analysis. The study conducted among 287 participants working in the medical field. The study showed that the reliability of intrinsic facet is .811 and extrinsic facet .729. Further analysis found that there is correlation between intrinsic and extrinsic job satisfaction. This study concluded that the job satisfaction scale used in this study is valid and reliable to be applied in medical practitioner in Indonesia. Abstrak Alat ukur kepuasan kerja telah digunakan di berbagai bidang pekerjaan termasuk kesehatan. Sayangnya di Indonesia penelitian mengenai alat ukur ini sendiri masih sangat terbatas, terutama mengenai konstruk kepuasan kerja dengan subjek khusus tenaga kesehatan. Penelitian ini bertujuan untuk mengadaptasi skala kepuasan kerja untuk tenaga kesehatan dari Hills, Joyce dan Humphreys (2012) ke dalam bahasa Indonesia. Proses penerjemahan berdasarkan langkah-langkah yang disarankan oleh Beaton, dkk. (2000). Alat ukur kepuasan kerja yang digunakan terbagi menjadi dua berdasarkan sumbernya, yaitu ekstrinsik dan intrinsik, dengan total 10 aitem. Peserta yang terlibat dalam penelitian ini sebanyak 287 responden. Berdasarkan hasil uji reliabilitas didapatkan koefisien alfa sebesar .811 untuk kepuasan kerja yang bersifat intrinsik dan .729 untuk kepuasan kerja yang bersifat ekstrinsik. Berdasarkan hasil uji validitas dengan teknik faktor analisis dan uji reliabilitas, dapat disimpulkan bahwa alat ukur ini cukup valid dan reliabel untuk diterapkan di Indonesia. Berdasarkan analisis tambahan yang dilakukan, ditemukan hubungan antara sumber kepuasan kerja yang bersifat intrinsik dan ekstrinsik

LOOK AT MEDICINE ATTENTION: PROBLEMS AND SOLUTIONS

2019 ◽  
Vol 24 (2) ◽  
pp. 69-75
Author(s):  
Absalom Khuzhanazarov ◽  
◽  
Shukhrat Allamuratov
Keyword(s):  
History Of Medicine ◽  
Historical Data ◽  
Attention Problems ◽  
Medical Field ◽  
Problems And Solutions ◽  
History Of ◽  
Country Analysis

This article presents historical data and scientific conclusions regarding the history of medicine in our country. Analysis of current problems in the medical field as a result of the reforms implemented over the last three years.

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