Physiological monitoring equipment can be found in many hospital settings. This allows a wide range of physiological parameters to be stored, which in turn allows clinicians and analysts to investigate a range of medical hypotheses. This paper introduces ACHE (architecture for clinical hypotheses examination), a framework specifically designed to support the preparation of such analyses. To evaluate the initial version of ACHE, a study to detect acute myocardial infarctions, was conducted with data from Glasgow Royal Infirmary's Intensive Care Unit (ICU). Initial results from the study are very encouraging and ACHE substantially reduced the time required to perform the study. A study of the same phenomena across a much larger patient dataset will be undertaken shortly.
{"title":"ACHE: An Architecture for Clinical Hypothesis Examination","authors":"L. Moss, D. Sleeman, J. Kinsella, M. Sim","doi":"10.1109/CBMS.2008.100","DOIUrl":"https://doi.org/10.1109/CBMS.2008.100","url":null,"abstract":"Physiological monitoring equipment can be found in many hospital settings. This allows a wide range of physiological parameters to be stored, which in turn allows clinicians and analysts to investigate a range of medical hypotheses. This paper introduces ACHE (architecture for clinical hypotheses examination), a framework specifically designed to support the preparation of such analyses. To evaluate the initial version of ACHE, a study to detect acute myocardial infarctions, was conducted with data from Glasgow Royal Infirmary's Intensive Care Unit (ICU). Initial results from the study are very encouraging and ACHE substantially reduced the time required to perform the study. A study of the same phenomena across a much larger patient dataset will be undertaken shortly.","PeriodicalId":377855,"journal":{"name":"2008 21st IEEE International Symposium on Computer-Based Medical Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128813585","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 the real world concepts are often not stable but change over time. A typical example of this in the biomedical context is antibiotic resistance, where pathogen sensitivity may change over time as pathogen strains develop resistance to antibiotics that were previously effective. This problem, known as concept drift (CD), complicates the task of learning a robust model. Different ensemble learning (EL) approaches (that instead of learning a single classifier try to learn and maintain a set of classifiers over time) have been shown to perform reasonably well in the presence of concept drift. In this paper we study how much local feature selection (FS) can improve ensemble performance for data with concept drift. Our results show that FS may improve the performance of different EL strategies, yet being more important for EL with static integration of classifiers like (weighted) voting. Further, the improvement of EL due to FS can be explained by its effect on the accuracy and diversity of base classifiers. The results also provide some additional evidence that diversity can be better utilized with the dynamic integration of classifiers.
{"title":"Effectiveness of Local Feature Selection in Ensemble Learning for Prediction of Antimicrobial Resistance","authors":"S. Puuronen, Mykola Pechenizkiy, A. Tsymbal","doi":"10.1109/CBMS.2008.22","DOIUrl":"https://doi.org/10.1109/CBMS.2008.22","url":null,"abstract":"In the real world concepts are often not stable but change over time. A typical example of this in the biomedical context is antibiotic resistance, where pathogen sensitivity may change over time as pathogen strains develop resistance to antibiotics that were previously effective. This problem, known as concept drift (CD), complicates the task of learning a robust model. Different ensemble learning (EL) approaches (that instead of learning a single classifier try to learn and maintain a set of classifiers over time) have been shown to perform reasonably well in the presence of concept drift. In this paper we study how much local feature selection (FS) can improve ensemble performance for data with concept drift. Our results show that FS may improve the performance of different EL strategies, yet being more important for EL with static integration of classifiers like (weighted) voting. Further, the improvement of EL due to FS can be explained by its effect on the accuracy and diversity of base classifiers. The results also provide some additional evidence that diversity can be better utilized with the dynamic integration of classifiers.","PeriodicalId":377855,"journal":{"name":"2008 21st IEEE International Symposium on Computer-Based Medical Systems","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129141833","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}
Doppler ultrasound blood flow signal (DUBFS) is a non-stationary signal that is widely used in the study of the clinical diagnosis of cardiovascular diseases. According to the theory of pulse diagnosis of traditional Chinese medicine, in this paper, a feature extraction method based on Hilbert_Huang transform is proposed in order to investigate the relationship between the DUBFS of wrist radial artery and the pathological changes of certain organs. The extracted features have applied in classification experiments on 4 groups of data, which are healthy persons, gastritis patients, cholecystitis patients and nephritis patients, respectively. Experimental results with high recognition rates demonstrate that Hilbert_Huang transform is an effective method of time-frequency analysis for DUBFS, and extracted features by proposed method have promising discriminating ability between the healthy people and 3 kinds of patients.
{"title":"Analysis of Doppler Ultrasound Blood Flow Signals of Wrist Radial Artery for Discriminating Healthy People from 3 Kinds of Patients","authors":"Kuanquan Wang, Chao Xu, Dongyu Zhang, Naimin Li","doi":"10.1109/CBMS.2008.57","DOIUrl":"https://doi.org/10.1109/CBMS.2008.57","url":null,"abstract":"Doppler ultrasound blood flow signal (DUBFS) is a non-stationary signal that is widely used in the study of the clinical diagnosis of cardiovascular diseases. According to the theory of pulse diagnosis of traditional Chinese medicine, in this paper, a feature extraction method based on Hilbert_Huang transform is proposed in order to investigate the relationship between the DUBFS of wrist radial artery and the pathological changes of certain organs. The extracted features have applied in classification experiments on 4 groups of data, which are healthy persons, gastritis patients, cholecystitis patients and nephritis patients, respectively. Experimental results with high recognition rates demonstrate that Hilbert_Huang transform is an effective method of time-frequency analysis for DUBFS, and extracted features by proposed method have promising discriminating ability between the healthy people and 3 kinds of patients.","PeriodicalId":377855,"journal":{"name":"2008 21st IEEE International Symposium on Computer-Based Medical Systems","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129199479","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}
Dipak Bhandari, N. Colineau, S. Giugni, Peter Marendy, Cécile Paris, R. Wilkinson
We are looking at new effective ways to engage families in weight management. Going beyond targeting individuals out of their family context with a single intervention, we investigate ways of delivering tailored health information as an information service, using the family as a major contextual factor. In particular, we explore interaction modes and processes of engagement with families that would be most effective to provide an information service that users will perceive as a real benefit to them.
{"title":"Information Services to Promote Family Engagement in Healthy Living","authors":"Dipak Bhandari, N. Colineau, S. Giugni, Peter Marendy, Cécile Paris, R. Wilkinson","doi":"10.1109/CBMS.2008.56","DOIUrl":"https://doi.org/10.1109/CBMS.2008.56","url":null,"abstract":"We are looking at new effective ways to engage families in weight management. Going beyond targeting individuals out of their family context with a single intervention, we investigate ways of delivering tailored health information as an information service, using the family as a major contextual factor. In particular, we explore interaction modes and processes of engagement with families that would be most effective to provide an information service that users will perceive as a real benefit to them.","PeriodicalId":377855,"journal":{"name":"2008 21st IEEE International Symposium on Computer-Based Medical Systems","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126718030","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}
J. Lara, Guillermo Moreno, A. Pérez-Pérez, J. P. Valente, Á. López-Illescas
The comparison of two time series and the extraction of subsequences that are common to the two is a complex data mining problem. Many existing techniques, like the discrete Fourier transform (DFT), offer solutions for comparing two whole time series. Often, however, the important thing is to analyse certain regions, known as events, rather than the whole times series. This applies to domains like the stock market, seismography or medicine. In this paper, we propose a method for comparing two time series by analysing the events present in the two. The proposed method is applied to time series generated by stabilometric and posturographic systems within a branch of medicine studying balance-related functions in human beings.
{"title":"Comparing Posturographic Time Series through Events Detection","authors":"J. Lara, Guillermo Moreno, A. Pérez-Pérez, J. P. Valente, Á. López-Illescas","doi":"10.1109/CBMS.2008.61","DOIUrl":"https://doi.org/10.1109/CBMS.2008.61","url":null,"abstract":"The comparison of two time series and the extraction of subsequences that are common to the two is a complex data mining problem. Many existing techniques, like the discrete Fourier transform (DFT), offer solutions for comparing two whole time series. Often, however, the important thing is to analyse certain regions, known as events, rather than the whole times series. This applies to domains like the stock market, seismography or medicine. In this paper, we propose a method for comparing two time series by analysing the events present in the two. The proposed method is applied to time series generated by stabilometric and posturographic systems within a branch of medicine studying balance-related functions in human beings.","PeriodicalId":377855,"journal":{"name":"2008 21st IEEE International Symposium on Computer-Based Medical Systems","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125236288","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 health care settings, interactions between providers are uncommon. This study shows that electronic medical records currently available do not favor interactive work and thus a model of design rationale applied to health care is proposed. This model works as an extension to electronic medical records and intends to promote collaborative work among health care providers.
{"title":"A Design Rationale-Based Model as an Add-on to Electronic Medical Records","authors":"C. Z. Billa, C. Barsottini, Jacques Wainer","doi":"10.1109/CBMS.2008.126","DOIUrl":"https://doi.org/10.1109/CBMS.2008.126","url":null,"abstract":"In health care settings, interactions between providers are uncommon. This study shows that electronic medical records currently available do not favor interactive work and thus a model of design rationale applied to health care is proposed. This model works as an extension to electronic medical records and intends to promote collaborative work among health care providers.","PeriodicalId":377855,"journal":{"name":"2008 21st IEEE International Symposium on Computer-Based Medical Systems","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125564581","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}
Currently biomedical literature is largely disconnected from its metadata. While there are freely accessible centralised metadata repositories the publications themselves are split among a large number of repositories. We address this problem by harvesting freely accessible biomedical publications from the Web and integrating them with the corresponding metadata. The system involves title recognition applied on the harvested publications using knowledge-based algorithm and a fuzzy match between the extracted title and the metadata records using edit distance metric. So far we were able to locate +300.000 publications on the Web and achieve +96% precision and nearly 85% recall on a random sample of 250 documents harvested from the Web.
{"title":"Integrating Biomedical Publications with Existing Metadata","authors":"Nikolay Nikolov, P. Stoehr","doi":"10.1109/CBMS.2008.127","DOIUrl":"https://doi.org/10.1109/CBMS.2008.127","url":null,"abstract":"Currently biomedical literature is largely disconnected from its metadata. While there are freely accessible centralised metadata repositories the publications themselves are split among a large number of repositories. We address this problem by harvesting freely accessible biomedical publications from the Web and integrating them with the corresponding metadata. The system involves title recognition applied on the harvested publications using knowledge-based algorithm and a fuzzy match between the extracted title and the metadata records using edit distance metric. So far we were able to locate +300.000 publications on the Web and achieve +96% precision and nearly 85% recall on a random sample of 250 documents harvested from the Web.","PeriodicalId":377855,"journal":{"name":"2008 21st IEEE International Symposium on Computer-Based Medical Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127205319","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}
There is a vast amount of data associated with any one patient. It is challenging for medical staff to understand all this data. It is even harder for a lay person, who may not even know what medical terms mean. The research project BabyTalk-Clan aims to create personalized summaries of data for a lay audience. It uses sensitive, highly-detailed clinical data relating to a patient. This includes medication given, test results, notes made by medical staff, and continuous physiological signals such as heart rate. We took a qualitative approach to knowledge acquisition for user requirements. Using interviews and a focus group within a Grounded Theory methodology, we discovered that most lay users want only a very high-level summary of the baby's state. What lay users do want is information about how the parents are coping, and what support they need. Findings were cross-validated through a questionnaire.
{"title":"What Do You Want to Know? Investigating the Information Requirements of Patient Supporters","authors":"Wendy Moncur, J. Masthoff, Ehud Reiter","doi":"10.1109/CBMS.2008.36","DOIUrl":"https://doi.org/10.1109/CBMS.2008.36","url":null,"abstract":"There is a vast amount of data associated with any one patient. It is challenging for medical staff to understand all this data. It is even harder for a lay person, who may not even know what medical terms mean. The research project BabyTalk-Clan aims to create personalized summaries of data for a lay audience. It uses sensitive, highly-detailed clinical data relating to a patient. This includes medication given, test results, notes made by medical staff, and continuous physiological signals such as heart rate. We took a qualitative approach to knowledge acquisition for user requirements. Using interviews and a focus group within a Grounded Theory methodology, we discovered that most lay users want only a very high-level summary of the baby's state. What lay users do want is information about how the parents are coping, and what support they need. Findings were cross-validated through a questionnaire.","PeriodicalId":377855,"journal":{"name":"2008 21st IEEE International Symposium on Computer-Based Medical Systems","volume":"670 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133524266","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}
The paper presents practical experiences with deployment of advanced medical teleconsultation system - TeleDICOM over public computer networks and on standard PC computers. Requirements connected with operation in interactive and non-interactive modes have been discussed. Next, the architecture of the system has been described and its influence on deployment process and upgrade procedures has been evaluated. The thick-client architecture has been chosen; in this context communication and information flows are analyzed. The performance aspects of the system are related to medical data processing on a standard PC on a client site. The existing constraints of large DICOM files processing are listed and their solution are proposed. TeleDICOM was successfully deployed in John Paul II Hospital in Krakow and in a few regional hospitals in the South of Poland what practically verifies the proposed solutions.
{"title":"The Practical Experiences with Deployment of Advanced Medical Teleconsultation System over Public IT Infrastructure","authors":"J. Cala, L. Czekierda, Michal Nowak, K. Zielinski","doi":"10.1109/CBMS.2008.130","DOIUrl":"https://doi.org/10.1109/CBMS.2008.130","url":null,"abstract":"The paper presents practical experiences with deployment of advanced medical teleconsultation system - TeleDICOM over public computer networks and on standard PC computers. Requirements connected with operation in interactive and non-interactive modes have been discussed. Next, the architecture of the system has been described and its influence on deployment process and upgrade procedures has been evaluated. The thick-client architecture has been chosen; in this context communication and information flows are analyzed. The performance aspects of the system are related to medical data processing on a standard PC on a client site. The existing constraints of large DICOM files processing are listed and their solution are proposed. TeleDICOM was successfully deployed in John Paul II Hospital in Krakow and in a few regional hospitals in the South of Poland what practically verifies the proposed solutions.","PeriodicalId":377855,"journal":{"name":"2008 21st IEEE International Symposium on Computer-Based Medical Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133122362","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}
Technology offers alternatives for training surgeons with patients and also possibilities to take part in surgical learning from afar, outside the operating room (OR). Simulated and other technical training tools provide opportunities to practice surgical skills in undisturbed learning environments. In order to implement effective educational methods and create new environments for learning, we need to find out what skills a surgeon must learn and what are the elements affecting surgical performance. This paper describes a study designed to investigate surgical processes and presents an exploratory way of gathering data by combining video material with interviews. The suitability of triangulation as a method of data collection for the development of technology-supported surgical education is then evaluated and discussed. The triangulation method provides data which benefits technology-supported surgical education. Advantages include a more accurate and detailed knowledge obtained from surgeons' actions, surgical procedures and learning.
{"title":"Towards Technology-Supported Surgical Training","authors":"M. Silvennoinen","doi":"10.1109/CBMS.2008.138","DOIUrl":"https://doi.org/10.1109/CBMS.2008.138","url":null,"abstract":"Technology offers alternatives for training surgeons with patients and also possibilities to take part in surgical learning from afar, outside the operating room (OR). Simulated and other technical training tools provide opportunities to practice surgical skills in undisturbed learning environments. In order to implement effective educational methods and create new environments for learning, we need to find out what skills a surgeon must learn and what are the elements affecting surgical performance. This paper describes a study designed to investigate surgical processes and presents an exploratory way of gathering data by combining video material with interviews. The suitability of triangulation as a method of data collection for the development of technology-supported surgical education is then evaluated and discussed. The triangulation method provides data which benefits technology-supported surgical education. Advantages include a more accurate and detailed knowledge obtained from surgeons' actions, surgical procedures and learning.","PeriodicalId":377855,"journal":{"name":"2008 21st IEEE International Symposium on Computer-Based Medical Systems","volume":"2009 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131342177","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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