2014 International Conference on Computer Assisted System in Health最新文献

Image Stitching of Textures for Augmented Reality Medical Training 增强现实医学训练中纹理图像拼接

2014 International Conference on Computer Assisted System in Health Pub Date : 2014-12-19 DOI: 10.1109/CASH.2014.20

M. A. Faudzi, R. Rahmat, P. S. Sulaiman, M. Z. Dimon

引用次数: 2

Decision Support System Using System Dynamics Simulation Modelling for Projection of Dentist Supply 基于系统动力学仿真模型的牙医供应规划决策支持系统

2014 International Conference on Computer Assisted System in Health Pub Date : 2014-12-19 DOI: 10.1109/CASH.2014.18

A. A. Samah, L. K. Wah, Muhammad Ishak Desa, H. Majid, Nurulhuda Firdaus Mohd Azmi, Nordin Salleh, Azlina Abu Bakar, Adilius Manual

引用次数: 3

Investigating the Empirical Relation and Importance of Perceived Usefulness, Perceived Ease of Use and Intention to Use Online Information Resources for Evidence Based Medicine 调查感知有用性、感知易用性和使用循证医学在线信息资源意愿的经验关系和重要性

2014 International Conference on Computer Assisted System in Health Pub Date : 2014-12-19 DOI: 10.1109/CASH.2014.13

F. Chandio, F. Anwar, A. Khedher, S. Rizvi

{"title":"Investigating the Empirical Relation and Importance of Perceived Usefulness, Perceived Ease of Use and Intention to Use Online Information Resources for Evidence Based Medicine","authors":"F. Chandio, F. Anwar, A. Khedher, S. Rizvi","doi":"10.1109/CASH.2014.13","DOIUrl":"https://doi.org/10.1109/CASH.2014.13","url":null,"abstract":"This study explores the empirical relationship and importance of perceived usefulness, perceived ease of use and intention to use online information resources for Evidence-based Medicine (EBM). Although a significant literature is available that investigates the effect of various factors on intention to use digital information sources to practice EBM in developed countries. However, literature is a lacking in exploring the intention to practice EBM by physicians in developing countries like Pakistan. This is the motivation behind this study. This research is a cross sectional quantitative survey study (N=352). Based on related literature a questionnaire was developed. Selected participant sample of the survey is those physicians, who were in clinical practice and were having the knowledge of EBM. Structural equation modelling technique (SEM) with the Analysis of Moment Structures software (AMOS) is used for data analysis. The findings showed the significance and causal linkage between perceived usefulness, perceived ease of use and intention to use online information resources for EBM. Perceived usefulness is found as a strong predictor in acceptance and behavioral intention as compared to the perceived ease of use.","PeriodicalId":131954,"journal":{"name":"2014 International Conference on Computer Assisted System in Health","volume":"656 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114098121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Prediction of Urinary System Disease Diagnosis: A Comparative Study of Three Decision Tree Algorithms 泌尿系统疾病诊断预测:三种决策树算法的比较研究

2014 International Conference on Computer Assisted System in Health Pub Date : 2014-12-19 DOI: 10.1109/CASH.2014.25

Mahmood Hussain Kadhem, A. Zeki

{"title":"Prediction of Urinary System Disease Diagnosis: A Comparative Study of Three Decision Tree Algorithms","authors":"Mahmood Hussain Kadhem, A. Zeki","doi":"10.1109/CASH.2014.25","DOIUrl":"https://doi.org/10.1109/CASH.2014.25","url":null,"abstract":"Data mining (DM) has a wide range of applications in the health care field. DM can be used to discover hidden patterns among different diagnoses or to predict the disease of patients based on certain number of symptoms. It can be used also to analyze the success major of a given treatment for a group of patients based on a number of characteristics and parameters available. This paper demonstrates the ability of DM to develop a prediction model for a presumptive diagnosis of two familiar urinary diseases: the acute inflammation of the urinary bladder and nephritis of renal pelvis. The dataset used in this work includes a number of characteristics, which are important in diagnosing any patient with an acute inflammation of urinary bladder or nephritis. This research evaluates the supervised machine learning algorithms Ridor, OneR, and J48 in terms of performance and accuracy to determine the best classification algorithm which will be used to develop the accurate prediction model. The decision tree (J48) shows a powerful accuracy and capability in prediction, and has been used to classify the patients' data with the proper acute inflammation diseases. The analyzed dataset has been trained using the 10-fold cross validation. The decision tree for the acute urinary bladder and nephritis has been generated.","PeriodicalId":131954,"journal":{"name":"2014 International Conference on Computer Assisted System in Health","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125263988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Stress Assessment While Listening to Quran Recitation 诵读古兰经时的压力评估

2014 International Conference on Computer Assisted System in Health Pub Date : 2014-12-19 DOI: 10.1109/CASH.2014.14

Amjad M. R. Alzeer Alhouseini, I. Al-Shaikhli, Abdul Wahab Bin Abdul Rahman, K. Alarabi, M. A. Dzulkifli

引用次数: 16

Automatic Generation of ANFIS Rules in Modelling Breast Cancer Survival 乳腺癌生存模型中ANFIS规则的自动生成

2014 International Conference on Computer Assisted System in Health Pub Date : 2014-12-19 DOI: 10.1109/CASH.2014.16

H. Hamdan, J. Garibaldi

{"title":"Automatic Generation of ANFIS Rules in Modelling Breast Cancer Survival","authors":"H. Hamdan, J. Garibaldi","doi":"10.1109/CASH.2014.16","DOIUrl":"https://doi.org/10.1109/CASH.2014.16","url":null,"abstract":"Data collected to be processed by means of rules can be done in multiple ways. In our previous papers, the Adaptive Neuro-Fuzzy Inference System (ANFIS) has been applied to breast cancer data for modelling survival in the presence of censorship. In initial work, the membership functions for the input data were defined by experts, along with an estimation of output. However, if knowledge about the data is vague or the expert cannot express the knowledge explicitly, the initial membership functions can be defined by partitioning the input space equally. Extracting fuzzy rules from the data using clustering methods is another technique used to initialise the position of membership functions of the input data. In this paper, we investigate whether such automatic methods can be used to initialise the antecedents of our model. Two clustering methods were applied to partition the input space, namely fuzzy c-means clustering and subtractive clustering, to establish the initial membership functions and a set of rules for the models. Further, to improve the model performance and high model accuracy, model optimisation was performed using the ANFIS approach.","PeriodicalId":131954,"journal":{"name":"2014 International Conference on Computer Assisted System in Health","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126044812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Emotion Detection through Speech and Facial Expressions 通过言语和面部表情进行情绪检测

2014 International Conference on Computer Assisted System in Health Pub Date : 2014-12-19 DOI: 10.1109/CASH.2014.22

K. M. Kudiri, A. Said, M. Nayan

引用次数: 2

Towards Developing a New I-P Technology Adoption Framework: A Research Road Map 迈向开发新的I-P技术采用框架:研究路线图

2014 International Conference on Computer Assisted System in Health Pub Date : 2014-12-19 DOI: 10.1109/CASH.2014.15

I. Hassan, Masrah Azrifah Azmi Murad, Rozi Nor Haizan Binti Nor, Salfarina Binti Abdullah

{"title":"Towards Developing a New I-P Technology Adoption Framework: A Research Road Map","authors":"I. Hassan, Masrah Azrifah Azmi Murad, Rozi Nor Haizan Binti Nor, Salfarina Binti Abdullah","doi":"10.1109/CASH.2014.15","DOIUrl":"https://doi.org/10.1109/CASH.2014.15","url":null,"abstract":"While several studies have been conducted relating to the acceptability and use of Smart National Identity Card (SNIC), research in determining factors that influence the citizens' acceptance and use of health information application in (SNIC) has not yet been conducted. This paper presents a new paradigm of individual level technology acceptance and use framework known as I-P (Individual-Privacy) to study the acceptance and use of health information application in SNIC. Furthermore, the prior literatures discovered that there are factors such as trust, perceived risk, Privacy concern and perceived credibility need to be incorporated into technology adoption models. Therefore, this research contributes to the body of knowledge towards acceptance and use of SNIC applications from e-government perspective by providing a clear understanding on interrelationships of both technology adoption and privacy calculus factors in predicting health information application in SNIC acceptance and use. This study applies extended Unified Theory of Acceptance and Use of Technology (UTAUT2) along with the privacy calculus model as the foundation information system theories. Nevertheless it is argued that UTAUT2 is a broad framework of technology adoption. For that reason, this study integrates the UTAUT2 with privacy calculus model and adds perceived credibility as a new variable to support the existing UTAUT2 model. The research framework and recommendations of this study may enable to establish better innovative e-health services as to cover the desires of the citizens through the use of health information application embedded in all in one card. Initial results to assess the validity of measurement items are presented in this paper. Further statistical analysis will be conducted in the future to provide proof and empirically validate the I-P framework.","PeriodicalId":131954,"journal":{"name":"2014 International Conference on Computer Assisted System in Health","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122539982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Cardiac Components Categorization and Coronary Artery Enhancement in CT Angiography 心脏成分分类与冠状动脉CT造影增强

2014 International Conference on Computer Assisted System in Health Pub Date : 2014-12-19 DOI: 10.1109/CASH.2014.19

R. M. Tayebi, R. Wirza, Puteri Suhaiza Binti Sulaiman, M. Z. Dimon, F. Khalid, Aqeel A. Al-Surmi, S. Mazaheri

引用次数: 5

Maximizing Information of Multimodality Brain Image Fusion Using Curvelet Transform with Genetic Algorithm 基于遗传曲波变换的多模态脑图像融合信息最大化

2014 International Conference on Computer Assisted System in Health Pub Date : 2014-12-19 DOI: 10.1109/CASH.2014.11

M. Arif, N. A. Abdullah, Shiva Kumara Phalianakote, N. Ramli, Manzoor Elahi

引用次数: 20