{"title":"Fuzzy decision trees in the support of breastfeeding","authors":"S. H. Babic, P. Kokol, Milojka Molan Stiglic","doi":"10.1109/CBMS.2000.856864","DOIUrl":"https://doi.org/10.1109/CBMS.2000.856864","url":null,"abstract":"Decision trees are a relatively well-known and often-used intelligent tool for decision support. They are convenient for capturing knowledge from vast amounts of data. The result (or 'decision model') is represented in a hierarchical manner, where the significance or contribution of a single attribute to the final decision is shown very clearly. When the decision tree is built on real-world data, this data is more often numeric than discrete. Because it is human nature to use words rather than numbers to describe something, fuzzy logic theory was introduced to fill this gap. The description of attribute properties using the fuzzy logic approach is represented by a plausibility vector, where the coordinates between 0 and 1 show the plausibility of an attribute belonging to one of its subsets of possible attribute values. This is the way to successfully overcome the problem of boundary values between attribute subsets, where sharply determined boundaries can greatly affect the final result. In our system design laboratory, we have developed a software tool for building decision trees with a fuzzy heuristic function. The tool was used on data collected from a breastfeeding booklet, and the results were used for developing different advisory systems for health-care professionals as well as for breastfeeding support groups and mothers who have access to the Internet.","PeriodicalId":189930,"journal":{"name":"Proceedings 13th IEEE Symposium on Computer-Based Medical Systems. CBMS 2000","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126078046","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}
Gregory Derekenaris, J. Garofalakis, C. Makris, J. Prentzas, S. Sioutas, A. Tsakalidis
{"title":"An information system for the effective management of ambulances","authors":"Gregory Derekenaris, J. Garofalakis, C. Makris, J. Prentzas, S. Sioutas, A. Tsakalidis","doi":"10.1109/CBMS.2000.856910","DOIUrl":"https://doi.org/10.1109/CBMS.2000.856910","url":null,"abstract":"Describes a system offering a solution to the problem of ambulance management and emergency incident handling in the prefecture of Attica in Greece. It is based on a geographic information system (GIS) coupled with GPS (Global Positioning System) and GSM (Global System for Mobile Communication) technologies. The system's operation is expected to minimize the ambulances' response time. Consequently, there will be a drastic improvement in the way emergency incidents are being handled. This fact will thus significantly affect the quality of health services offered to citizens.","PeriodicalId":189930,"journal":{"name":"Proceedings 13th IEEE Symposium on Computer-Based Medical Systems. CBMS 2000","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116035225","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}
{"title":"Proton magnetic resonance spectroscopic imaging of abnormal gray matter in multiple sclerosis","authors":"Rakesh Sharma, P. Narayana, J. Wolinsky","doi":"10.1109/CBMS.2000.856892","DOIUrl":"https://doi.org/10.1109/CBMS.2000.856892","url":null,"abstract":"Proton magnetic resonance spectroscopic imaging (MRSI) of the brain was performed on 53 patients with clinically definite relapsing remitting multiple sclerosis (MS). The contributions of white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) to the spectroscopic voxels were determined using either double inversion recovery magnetic resonance imaging or segmentation of affirmative images. In 13 patients additional peaks in the 0.8 to 1.5 ppm spectral region, that reflect the demyelinating products, were observed mainly confined to GM. These studies demonstrate that some of the GM that appears normal on magnetic resonance images is biochemically abnormal.","PeriodicalId":189930,"journal":{"name":"Proceedings 13th IEEE Symposium on Computer-Based Medical Systems. CBMS 2000","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116814461","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}
Yang Liu, Zina Ben-Miled, O. Bukhres, Michael Bem, Robert Jones, Robert J. Oppelt
{"title":"Efficient schema design for a pharmaceutical data repository","authors":"Yang Liu, Zina Ben-Miled, O. Bukhres, Michael Bem, Robert Jones, Robert J. Oppelt","doi":"10.1109/CBMS.2000.856907","DOIUrl":"https://doi.org/10.1109/CBMS.2000.856907","url":null,"abstract":"Large scientific databases often consist of heterogeneous components that differ in the number of attributes and the number of tuples. In this paper, we show that increased performance is achieved when a complex schema is used to represent different components of a data repository. The driving application used in this study is a pharmaceutical drug repository. The types of access patterns associated with this repository consist of the retrieval of a selected set of attribute values for a consecutive or a random set of tuples. These consecutive and random access patterns, which are typical of a drug discovery experiment, are used to measure the data retrieval throughput for different schemas.","PeriodicalId":189930,"journal":{"name":"Proceedings 13th IEEE Symposium on Computer-Based Medical Systems. CBMS 2000","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124153385","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}
{"title":"Modeling a decision support system to prevent adverse drug events","authors":"G. Fiol, P. Nohama, B. Rocha","doi":"10.1109/CBMS.2000.856887","DOIUrl":"https://doi.org/10.1109/CBMS.2000.856887","url":null,"abstract":"Adverse drug events are known to be a major health problem worldwide. Decision support systems (DSSs) that assist drug ordering have demonstrated to be a powerful tool to prevent prescription errors and adverse drug events. On the other hand, some issues related to the development, implementation, configuration and evaluation of these DDSs still need further research. The objective of this project was the development of a DSS prototype that helps with the prevention of adverse drug events by detecting drug-drug interactions in drug orders. The structure of the system tries to solve some of the problems described by the literature, such as integration with hospital information systems, adaptability to local needs, and knowledge base maintenance. The proposed model has been shown to be an effective method for representing drug-drug interactions.","PeriodicalId":189930,"journal":{"name":"Proceedings 13th IEEE Symposium on Computer-Based Medical Systems. CBMS 2000","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115104988","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}
{"title":"Principal component analysis of multigated cardiac bloodpool studies and correction of count-deficient frames","authors":"R. Wendt, W. Erwin, M. Groch","doi":"10.1109/CBMS.2000.856899","DOIUrl":"https://doi.org/10.1109/CBMS.2000.856899","url":null,"abstract":"The multigated cardiac bloodpool study is a nuclear medicine procedure that produces a movie loop of the contents of the chambers of the beating heart. The nature of the acquisition of data results in noisy studies that can have underexposed frames late in the cardiac cycle. These darker frames produce a \"flashing\" effect that disturbs visual interpretation The present means of correcting this problem distort the data in the study. We have used principal component analysis to correct the count deficiency of the last frames of the cardiac movie loop without distorting the temporal information in the study or degrading the visual signal-to-noise ratio. An initial evaluation of twenty cases yielded complete correction of the \"flashing\" effect and produced visually more pleasing datasets. Application of standard quantitative analysis methods demonstrated no difference in the clinical parameters such as the ejection fraction.","PeriodicalId":189930,"journal":{"name":"Proceedings 13th IEEE Symposium on Computer-Based Medical Systems. CBMS 2000","volume":"85 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129866367","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}
V. Kustov, P. Srinivasan, S. Mitra, S. Shishkin, D. Mehrl
{"title":"Adaptive wavelet technique for effective storage and fast Internet transmission of medical images","authors":"V. Kustov, P. Srinivasan, S. Mitra, S. Shishkin, D. Mehrl","doi":"10.1109/CBMS.2000.856903","DOIUrl":"https://doi.org/10.1109/CBMS.2000.856903","url":null,"abstract":"Medical imaging is characterized by strict requirements and high standards for image acquisition, storage and processing. These requirements and standards translate into large image files that need to be processed, stored and transmitted fast, preferably in real time. Wavelet decomposition, using the adaptive algorithm described in this paper, maximizes the information in the traditional low-resolution part, thus allowing only one fourth of the size of the original image to be processed for effective archiving, and transmission without appreciable loss.","PeriodicalId":189930,"journal":{"name":"Proceedings 13th IEEE Symposium on Computer-Based Medical Systems. CBMS 2000","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130049215","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}
P. Antal, H. Verrelst, D. Timmerman, S. Huffel, B. Moor, I. Vergote
{"title":"Bayesian networks in ovarian cancer diagnosis: potentials and limitations","authors":"P. Antal, H. Verrelst, D. Timmerman, S. Huffel, B. Moor, I. Vergote","doi":"10.1109/CBMS.2000.856886","DOIUrl":"https://doi.org/10.1109/CBMS.2000.856886","url":null,"abstract":"The pre-operative discrimination between malignant and benign masses is a crucial issue in gynaecology. Next to the large amount of background knowledge, there is a growing amount of collected patient data that can be used in inductive techniques. These two sources of information result in two different modelling strategies. Based on the background knowledge, various discrimination models have been constructed by leading experts in the field, tuned and tested by observations. Based on the patient observations, various statistical models have been developed, such as logistic regression models and artificial neural network models. For the efficient combination of prior background knowledge and observations, Bayesian network models are suggested. We summarize the applicability of this technique, report the performance of such models in ovarian cancer diagnosis and outline a possible hybrid usage of this technique.","PeriodicalId":189930,"journal":{"name":"Proceedings 13th IEEE Symposium on Computer-Based Medical Systems. CBMS 2000","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129056965","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}
{"title":"Software agent based approach towards tele-electrocardiography","authors":"P. Ganguly, P. Ray, G. Low","doi":"10.1109/CBMS.2000.856911","DOIUrl":"https://doi.org/10.1109/CBMS.2000.856911","url":null,"abstract":"TeIemedicine involves the integration of information, telecommunications, human-machine and healthcare technologies. One of the aspects of telecardiology, known as tele-electrocardiography, deploys electrocardiography (ECG) machines to transmit ECGs over networks. Tele-electrocardiography diagnosis and ECG interpretation is simple, reliable and cost-effective. As different parts of this tele-electrocardiography system work on different computing environments, software interoperability is a major issue. Software agent technology supports a heterogeneous computing environment. As this technology reacts dynamically to adverse conditions, it is suitable for the development of fault-tolerant distributed systems. Additionally, agent technology represents the intentions, desires and resources of the participants - so it can be effectively used in online healthcare applications. The features of software agent technology are potentially suitable for the development of interoperable telemedicine systems. This paper presents a software agent-based interoperable scheme for tele-electrocardiography applications.","PeriodicalId":189930,"journal":{"name":"Proceedings 13th IEEE Symposium on Computer-Based Medical Systems. CBMS 2000","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114231440","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}
{"title":"Distributed visualization of volumetric medical datasets","authors":"I. Greenshields","doi":"10.1109/CBMS.2000.856906","DOIUrl":"https://doi.org/10.1109/CBMS.2000.856906","url":null,"abstract":"Increasing spatial and spectral image resolution, coupled with increased expectations both in visualization output and in the time-responsiveness of that output relative to certain clinical tasks have led to a comcomitant increase in the role of parallel and distributed solutions to the visualization problem. In this paper we examine the distribution of classification and visualization tasks over a heterogenous distributed architecture in the context of one specific visualization problem viz. the directed visualization of small-scale structures from the Visible Human Dataset. Specifically, we examine a Challenger-like architecture in which tasks are dynamically bid onto and transported across the fabric under the control of agents.","PeriodicalId":189930,"journal":{"name":"Proceedings 13th IEEE Symposium on Computer-Based Medical Systems. CBMS 2000","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124845348","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}