Wen-Yang Lin, He-Yi Li, Jhih-Wei Du, Wen-Yu Feng, Chiao-Feng Lo
Adverse Drug Reaction (ADR) is one of the most important issues on drug safety assessment. Many adverse drug reactions cannot be discovered through limited pre-marketing clinical trials; instead, they can only be recognized by a long term of post-marketing surveillance of drug usages. In this paper, we propose an interactive system platform for ADRs detection. By integrating the concept of ADRs data warehouse and innovative data mining techniques, the proposed system can not only support OLAP style of multidimensional analysis of ADRs, but also offer interactive discovery of associations between drugs and symptoms, called drug-ADR association rule, which can be further specialized by other factors interesting to users, such as demographic information. Experiments indicate that interesting and valuable drug-ADR association rules can be efficiently mined.
{"title":"iADRs: towards a web-based interactive adverse drug reaction analyzing system","authors":"Wen-Yang Lin, He-Yi Li, Jhih-Wei Du, Wen-Yu Feng, Chiao-Feng Lo","doi":"10.1145/2180796.2180814","DOIUrl":"https://doi.org/10.1145/2180796.2180814","url":null,"abstract":"Adverse Drug Reaction (ADR) is one of the most important issues on drug safety assessment. Many adverse drug reactions cannot be discovered through limited pre-marketing clinical trials; instead, they can only be recognized by a long term of post-marketing surveillance of drug usages. In this paper, we propose an interactive system platform for ADRs detection. By integrating the concept of ADRs data warehouse and innovative data mining techniques, the proposed system can not only support OLAP style of multidimensional analysis of ADRs, but also offer interactive discovery of associations between drugs and symptoms, called drug-ADR association rule, which can be further specialized by other factors interesting to users, such as demographic information. Experiments indicate that interesting and valuable drug-ADR association rules can be efficiently mined.","PeriodicalId":120498,"journal":{"name":"SIGHIT Rec.","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115092095","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}
Recent epidemics of behavioral issues such as obesity, excessive alcohol, tobacco, and drug use, place people at risk of diseases (e.g. diabetes, cardiovascular troubles) which can often be prevented by lifestyle changes such as loosing weight with a diet and/or physical exercise. Medicine has therefore started to move toward finding ways of preventively promoting wellness rather than solely treating already established illness. Health promotion interventions aimed at helping people to change lifestyle are being deployed, but the epidemic nature of these problems calls for drastic measures to rapidly increase access to effective behavior change interventions for diverse populations. We posit that not only is automation needed, but that computer-based interventions (CBI) delivered by empathic virtual avatars also offer complementary advantages to human healthcare, listed below: 1. increase accessibility: as few as one or two short lifestyle change interventions often yield greater change than no counseling at all (Miller&Rollinick, 2002), and yet these short interventions are often unavailable. Because people accept computer-based assessment and feedback programs (Skinner, 1994; Cunningham, 1999) and because these can easily be reproduced (e.g. PC, web, mobile applications), CBIs can increase accessibility to health interventions; 2. increase confidentiality and divulgation: patients that engage in behavior that can put them at risk report more information to a computer interviewer than to its human counterpart (ServanSchreiber, 1986). Provided with sensitive information that a human would not have access to, CBIs can address issues that would otherwise be ignored; 3. tailor information: tailored communication, intended to reach one specific person’s needs vs. generic communication (e.g. a brochure), lead to better patient outcomes and are derived from individual assessment. CBIs can assess and create a user profile to deliver tailored information, and dynamically update the user profile over multiple adaptive sessions; 4. diminish variability: there exists wide variability (25%100%) in different counselor’s rates of improvement among their patients (Miller&Rollnick, 2002). When trained personnel is not available, a good CBI can eliminate variability, providing more people with motivating experiences; 5. avoid righting reflex with infinite patience: Counselors often experience the righting reflex, or the tendency to set things right by employing direct advocacy, thereby acting out patients’ ambivalence toward change. But providing extrinsic motivation is not conducive of change, and successful counselors are ones who can inhibit their righting reflex (Miller&Rollnick, 2002). Though we thrive to build humane computers, computers inherently do not have the righting reflex and can respect patients’ pace toward change (Prochaska, 1997) by demonstrating infinite patience; 6. address low literacy: most efforts to provide patients with web-based interven
{"title":"10 advantages of using avatars in patient-centered computer-based interventions for behavior change","authors":"C. Lisetti","doi":"10.1145/2180796.2180820","DOIUrl":"https://doi.org/10.1145/2180796.2180820","url":null,"abstract":"Recent epidemics of behavioral issues such as obesity, excessive alcohol, tobacco, and drug use, place people at risk of diseases (e.g. diabetes, cardiovascular troubles) which can often be prevented by lifestyle changes such as loosing weight with a diet and/or physical exercise. Medicine has therefore started to move toward finding ways of preventively promoting wellness rather than solely treating already established illness. Health promotion interventions aimed at helping people to change lifestyle are being deployed, but the epidemic nature of these problems calls for drastic measures to rapidly increase access to effective behavior change interventions for diverse populations. We posit that not only is automation needed, but that computer-based interventions (CBI) delivered by empathic virtual avatars also offer complementary advantages to human healthcare, listed below: 1. increase accessibility: as few as one or two short lifestyle change interventions often yield greater change than no counseling at all (Miller&Rollinick, 2002), and yet these short interventions are often unavailable. Because people accept computer-based assessment and feedback programs (Skinner, 1994; Cunningham, 1999) and because these can easily be reproduced (e.g. PC, web, mobile applications), CBIs can increase accessibility to health interventions; 2. increase confidentiality and divulgation: patients that engage in behavior that can put them at risk report more information to a computer interviewer than to its human counterpart (ServanSchreiber, 1986). Provided with sensitive information that a human would not have access to, CBIs can address issues that would otherwise be ignored; 3. tailor information: tailored communication, intended to reach one specific person’s needs vs. generic communication (e.g. a brochure), lead to better patient outcomes and are derived from individual assessment. CBIs can assess and create a user profile to deliver tailored information, and dynamically update the user profile over multiple adaptive sessions; 4. diminish variability: there exists wide variability (25%100%) in different counselor’s rates of improvement among their patients (Miller&Rollnick, 2002). When trained personnel is not available, a good CBI can eliminate variability, providing more people with motivating experiences; 5. avoid righting reflex with infinite patience: Counselors often experience the righting reflex, or the tendency to set things right by employing direct advocacy, thereby acting out patients’ ambivalence toward change. But providing extrinsic motivation is not conducive of change, and successful counselors are ones who can inhibit their righting reflex (Miller&Rollnick, 2002). Though we thrive to build humane computers, computers inherently do not have the righting reflex and can respect patients’ pace toward change (Prochaska, 1997) by demonstrating infinite patience; 6. address low literacy: most efforts to provide patients with web-based interven","PeriodicalId":120498,"journal":{"name":"SIGHIT Rec.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133910056","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}
This extended abstract describes the characteristics of Ultra- Large-Scale Systems (ULSS) and the gaps in our understanding of these systems. We compare the characteristics of ULSS with the desired characteristics for national and global health information systems. Using the methodology proposed for the US Department of Defense and representative global health scenarios, we identify a strategy to develop a research agenda in Ultra-Large-Scale-Systems for Global Health Informatics.
{"title":"An agenda for ultra-large-scale system research for global health informatics","authors":"J. Facelli","doi":"10.1145/2180796.2180804","DOIUrl":"https://doi.org/10.1145/2180796.2180804","url":null,"abstract":"This extended abstract describes the characteristics of Ultra- Large-Scale Systems (ULSS) and the gaps in our understanding of these systems. We compare the characteristics of ULSS with the desired characteristics for national and global health information systems. Using the methodology proposed for the US Department of Defense and representative global health scenarios, we identify a strategy to develop a research agenda in Ultra-Large-Scale-Systems for Global Health Informatics.","PeriodicalId":120498,"journal":{"name":"SIGHIT Rec.","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122444270","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}
In many areas of human life, computer-based Information Technology (IT) has prevailed and become essential for the coordinated and efficient organization of workflows. Especially in the field of health care, interaction between human beings and IT is a sensitive subject. Inevitably, people working in the field of health care will have to make use of the potentials of IT in order to meet the enormous demands on e.g. patient management. When we look at the situation of current medical software systems, we can find major advances in the performance capacities of modern software systems, but must also note their rapid penetration into almost every facet of the daily hospital routine. Today medical software systems can be characterized as a vast number of (networked) software which each fulfills specific functions (e.g., hospital information system, Picture Archiving and Communication System) and which is used by different user groups (e.g., physicians, nurses, medical secretaries) with diverse user tasks [4]. Yet, for almost two decades, graphical user interfaces have dominated the interaction of medical software systems in most cases. In the future, a broader range of paradigms will emerge, allowing for multi-modal interaction. But also the growing number of heterogeneous platforms (operating systems, graphical libraries) and devices utilized complementarily (e.g., PC, Toughbook, Smartphone, PDA) demand for the development of congeneric user interfaces for a plethora of target platforms. Especially "mobile healthcare computing devices (MHCDs) are rapidly becoming an integral part of hospital information systems. Deployment of these devices is becoming an important IT strategy designed to assist in improving quality of care, enhancing patient services, increasing productivity, lowering costs, improving cash flow, as well as facilitating other critical delivery processes" [3]. For MHCDs aspects like getting the right information at the right time in the right place (context sensitivity) is important. To be able to cope with requirements like interoperability, context-sensitivity and device-independent usage a model-based approach for the development of user interfaces (MBUID) appears to be favourable [2].
{"title":"A new paradigm for the development of future medical software systems","authors":"G. Meixner, D. Zühlke","doi":"10.1145/2180796.2180812","DOIUrl":"https://doi.org/10.1145/2180796.2180812","url":null,"abstract":"In many areas of human life, computer-based Information Technology (IT) has prevailed and become essential for the coordinated and efficient organization of workflows. Especially in the field of health care, interaction between human beings and IT is a sensitive subject. Inevitably, people working in the field of health care will have to make use of the potentials of IT in order to meet the enormous demands on e.g. patient management. When we look at the situation of current medical software systems, we can find major advances in the performance capacities of modern software systems, but must also note their rapid penetration into almost every facet of the daily hospital routine. Today medical software systems can be characterized as a vast number of (networked) software which each fulfills specific functions (e.g., hospital information system, Picture Archiving and Communication System) and which is used by different user groups (e.g., physicians, nurses, medical secretaries) with diverse user tasks [4]. Yet, for almost two decades, graphical user interfaces have dominated the interaction of medical software systems in most cases. In the future, a broader range of paradigms will emerge, allowing for multi-modal interaction. But also the growing number of heterogeneous platforms (operating systems, graphical libraries) and devices utilized complementarily (e.g., PC, Toughbook, Smartphone, PDA) demand for the development of congeneric user interfaces for a plethora of target platforms. Especially \"mobile healthcare computing devices (MHCDs) are rapidly becoming an integral part of hospital information systems. Deployment of these devices is becoming an important IT strategy designed to assist in improving quality of care, enhancing patient services, increasing productivity, lowering costs, improving cash flow, as well as facilitating other critical delivery processes\" [3]. For MHCDs aspects like getting the right information at the right time in the right place (context sensitivity) is important.\u0000 To be able to cope with requirements like interoperability, context-sensitivity and device-independent usage a model-based approach for the development of user interfaces (MBUID) appears to be favourable [2].","PeriodicalId":120498,"journal":{"name":"SIGHIT Rec.","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131369522","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}
In recent decades, neuroimaging techniques have become relevant and essential supports to the diagnosis and therapy of neurological diseases. Positron Emission Tomography (PET) is a method of functional investigation that measures brain metabolism and identifies the changes that occur at cellular and molecular level, supporting physicians for studying neurological diseases, and for the definition of the diagnosis. To support image studies, there exist automatic PET images analysis algorithms; e.g., voxel-byvoxel analysis technique allows to obtain statistical measurements that can be associated to functional neurological anomalies. Research groups, both physicians as well as computer scientists, have performed statistical analysis on images dataset to identify regions of variation of the glucose in the brain [1-2]. Although these studies demonstrate that a particular group of Regions Of Interest (ROIs) identifies specific pathologies, today systems for the automatic diseases classification are still not available.
{"title":"Statistical analysis of PET images","authors":"P. Vizza, P. Veltri, G. Cascini","doi":"10.1145/2180796.2180807","DOIUrl":"https://doi.org/10.1145/2180796.2180807","url":null,"abstract":"In recent decades, neuroimaging techniques have become relevant and essential supports to the diagnosis and therapy of neurological diseases. Positron Emission Tomography (PET) is a method of functional investigation that measures brain metabolism and identifies the changes that occur at cellular and molecular level, supporting physicians for studying neurological diseases, and for the definition of the diagnosis. To support image studies, there exist automatic PET images analysis algorithms; e.g., voxel-byvoxel analysis technique allows to obtain statistical measurements that can be associated to functional neurological anomalies. Research groups, both physicians as well as computer scientists, have performed statistical analysis on images dataset to identify regions of variation of the glucose in the brain [1-2]. Although these studies demonstrate that a particular group of Regions Of Interest (ROIs) identifies specific pathologies, today systems for the automatic diseases classification are still not available.","PeriodicalId":120498,"journal":{"name":"SIGHIT Rec.","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126827685","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}
In recent years, various attempts have been made to improve lifestyle by means of a life log, which records behavior and patterns of life by using digital equipment. Small digital pedometers are useful for obtaining life log data since it is possible to record not only number of steps or energy consumption, but also activity time [1]. Here we assess the effect of number of steps, measured with a digital pedometer, on increasing the frequency of walking. In this study, we modified a standard pedometer so that the display was not visible and then carried out a crossover examination by dividing candidates into two groups. In addition, we issued a questionnaire to candidates to investigate their awareness of the pedometer display.
{"title":"Effect of measuring number of steps with a digital pedometer on female student physical activity","authors":"M. Sugano, Rika Hirano","doi":"10.1145/2180796.2180799","DOIUrl":"https://doi.org/10.1145/2180796.2180799","url":null,"abstract":"In recent years, various attempts have been made to improve lifestyle by means of a life log, which records behavior and patterns of life by using digital equipment. Small digital pedometers are useful for obtaining life log data since it is possible to record not only number of steps or energy consumption, but also activity time [1]. Here we assess the effect of number of steps, measured with a digital pedometer, on increasing the frequency of walking. In this study, we modified a standard pedometer so that the display was not visible and then carried out a crossover examination by dividing candidates into two groups. In addition, we issued a questionnaire to candidates to investigate their awareness of the pedometer display.","PeriodicalId":120498,"journal":{"name":"SIGHIT Rec.","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128147516","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}
Missing information are key issues for interoperability and semantic coherence in healthcare information systems. This paper presents the implementation of the Exceptional Package in the Multilevel Healthcare Information Modeling (MLHIM) specifications, and it describes two use cases where missing information is critical for decision-making and healthcare technology assessment.
{"title":"Implementing a specification for exceptional data in multilevel modeling of healthcare applications","authors":"T. Cook, L. Cavalini","doi":"10.1145/2180796.2180803","DOIUrl":"https://doi.org/10.1145/2180796.2180803","url":null,"abstract":"Missing information are key issues for interoperability and semantic coherence in healthcare information systems. This paper presents the implementation of the Exceptional Package in the Multilevel Healthcare Information Modeling (MLHIM) specifications, and it describes two use cases where missing information is critical for decision-making and healthcare technology assessment.","PeriodicalId":120498,"journal":{"name":"SIGHIT Rec.","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123490229","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}
In recent years, programs have been developed which allow robots to engage in simple dialogues with hospital and aged-care patients in order to provide information on and give healthrelated advice. To enable the robot to be persuasive and be accepted by the patient, it must not only understand their responses, but also understand their emotional state [1]. This information can then be used to modify the robot's responses. In an example dialogue, the robot asks whether the patient believes they overeat, to which the patient might respond "I don't overeat". If the patient has responded in a negative emotional tone, this may indicate a refusal to acknowledge the problem rather than the absence of it. In addition, the robot needs to learn to avoid responses which may provoke the patient. At that stage the goal of the robot is to convince the patient to acknowledge the problem before developing ways to solve it. One method of collecting data about patients' emotional state is to analyze prosodic features of their speech. Prosodic features are the patterns of frequency, energy (volume), and rate of speech. Prosodic features have been known for a long time to reflect the speaker's emotional state, as was first documented by Charles Darwin in The Descent of Man [2], which also showed that, even in other animals whose vocalizations contain no linguistic properties, feelings can be expressed. The main motivation for the development of this software is to improve upon a diet-suggestion dialogue system currently being developed and tested in aged-care homes.1 The elderly subject engages in dialogue with a health care robot, which provides suggestions to that person's diet, whilst also raising their motivation levels, and improve their perception of the robotic agent.
近年来，已经开发了一些程序，使机器人能够与医院和老年护理病人进行简单的对话，以提供有关健康的信息和建议。为了使机器人具有说服力并被患者接受，它不仅要了解患者的反应，还要了解患者的情绪状态[1]。这些信息可以用来修改机器人的反应。在一个示例对话中，机器人询问患者是否认为自己吃得过饱，患者可能会回答“我没有吃得过饱”。如果病人以消极的情绪语气回应，这可能表明他拒绝承认问题，而不是不存在问题。此外，机器人需要学会避免可能激怒患者的反应。在这个阶段，机器人的目标是在找到解决问题的方法之前说服病人承认这个问题。收集患者情绪状态数据的一种方法是分析他们说话的韵律特征。韵律特征是频率、能量(音量)和语速的模式。韵律特征反映说话人的情绪状态早已为人所知，查尔斯·达尔文(Charles Darwin)在《人类的起源》(the Descent of Man)中首次记录了这一点[2]，这也表明，即使在其他发声不含语言特性的动物中，情感也是可以表达的。开发该软件的主要动机是改进目前正在养老院开发和测试的饮食建议对话系统老年人与医疗保健机器人进行对话，机器人为老年人的饮食提供建议，同时提高他们的动力水平，并改善他们对机器人代理的感知。
{"title":"Sentiment analysis of speech prosody for dialogue adaptation in a diet suggestion program","authors":"Scott Crouch, R. Khosla","doi":"10.1145/2180796.2180800","DOIUrl":"https://doi.org/10.1145/2180796.2180800","url":null,"abstract":"In recent years, programs have been developed which allow robots to engage in simple dialogues with hospital and aged-care patients in order to provide information on and give healthrelated advice. To enable the robot to be persuasive and be accepted by the patient, it must not only understand their responses, but also understand their emotional state [1]. This information can then be used to modify the robot's responses. In an example dialogue, the robot asks whether the patient believes they overeat, to which the patient might respond \"I don't overeat\". If the patient has responded in a negative emotional tone, this may indicate a refusal to acknowledge the problem rather than the absence of it. In addition, the robot needs to learn to avoid responses which may provoke the patient. At that stage the goal of the robot is to convince the patient to acknowledge the problem before developing ways to solve it.\u0000 One method of collecting data about patients' emotional state is to analyze prosodic features of their speech. Prosodic features are the patterns of frequency, energy (volume), and rate of speech. Prosodic features have been known for a long time to reflect the speaker's emotional state, as was first documented by Charles Darwin in The Descent of Man [2], which also showed that, even in other animals whose vocalizations contain no linguistic properties, feelings can be expressed.\u0000 The main motivation for the development of this software is to improve upon a diet-suggestion dialogue system currently being developed and tested in aged-care homes.1 The elderly subject engages in dialogue with a health care robot, which provides suggestions to that person's diet, whilst also raising their motivation levels, and improve their perception of the robotic agent.","PeriodicalId":120498,"journal":{"name":"SIGHIT Rec.","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114895117","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}
Biomedical researchers and healthcare professionals use ontologies to annotate data for facilitating data sharing and integration. And the wide availability of ontologies in the medical domain offers the possibility of supporting multiple knowledge based applications. In their daily activities researchers and clinical investigator may need manipulating many and hence heterogeneous ontologies. We have designed and implemented ServO (Ontology Server). ServO is a tool for a fast building of ontologies repository described in the RDF and OWL standards languages. It is available as Java API and is based on IR techniques. It supports indexing multiple heterogeneous ontologies and retrieving similar entities between them. A web client prototype is implemented to showcase some functionalities of the tool.
{"title":"Towards dynamic ontologies repository building","authors":"G. Diallo, M. Simonet","doi":"10.1145/2180796.2180819","DOIUrl":"https://doi.org/10.1145/2180796.2180819","url":null,"abstract":"Biomedical researchers and healthcare professionals use ontologies to annotate data for facilitating data sharing and integration. And the wide availability of ontologies in the medical domain offers the possibility of supporting multiple knowledge based applications. In their daily activities researchers and clinical investigator may need manipulating many and hence heterogeneous ontologies. We have designed and implemented ServO (Ontology Server). ServO is a tool for a fast building of ontologies repository described in the RDF and OWL standards languages. It is available as Java API and is based on IR techniques. It supports indexing multiple heterogeneous ontologies and retrieving similar entities between them. A web client prototype is implemented to showcase some functionalities of the tool.","PeriodicalId":120498,"journal":{"name":"SIGHIT Rec.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114642166","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}
Producing applications that conform to the requirements of the Health Level 7 (HL7) framework is beneficial for the accurate recordation, transmittal and sharing of medical information across organizations. Conformance to these requirements ultimately help to improve the quality of health services delivered to consumers. This paper describes Everest, a free and open source framework that allows developers to create and test HL7v3 applications.
{"title":"Everest: a framework for developing HL7v3 applications","authors":"Justin Fyfe, D. Bender, H. K. Edwards","doi":"10.1145/2180796.2180816","DOIUrl":"https://doi.org/10.1145/2180796.2180816","url":null,"abstract":"Producing applications that conform to the requirements of the Health Level 7 (HL7) framework is beneficial for the accurate recordation, transmittal and sharing of medical information across organizations. Conformance to these requirements ultimately help to improve the quality of health services delivered to consumers. This paper describes Everest, a free and open source framework that allows developers to create and test HL7v3 applications.","PeriodicalId":120498,"journal":{"name":"SIGHIT Rec.","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121931839","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}
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