Pub Date : 2012-10-04DOI: 10.1109/BIBMW.2012.6470250
S. N. Nagabhushan, T. Ahn, M. Srikanth, T. Park, Ajit S. Bopardikar, R. Narayanan
Personalized genomic medicine aims to revolutionize healthcare by applying our growing understanding of the molecular basis of disease for effective diagnosis and personalized therapy. Computational research in this arena has major challenges such as handling large volume of highly heterogeneous data sets. To extract knowledge, researchers must integrate data from several sources and efficiently query these large and diverse data sets. This presents daunting informatics challenges such as suitable data representation for computational inference (knowledge representation), linking heterogeneous data sets (data integration) and keeping track of the source of the data to be aggregated. Many of these challenges can be categorized as data integration problems. In this paper, we present relevant methodologies from the field of data integration as potential solution for such challenges encountered by computational biologist while handling diversified data. The work presented in the paper represents the first crucial step towards identifying cancer biomarkers leading to cancer pathways signatures and personalized medicine.
{"title":"A data aggregation framework for cancer subtype discovery","authors":"S. N. Nagabhushan, T. Ahn, M. Srikanth, T. Park, Ajit S. Bopardikar, R. Narayanan","doi":"10.1109/BIBMW.2012.6470250","DOIUrl":"https://doi.org/10.1109/BIBMW.2012.6470250","url":null,"abstract":"Personalized genomic medicine aims to revolutionize healthcare by applying our growing understanding of the molecular basis of disease for effective diagnosis and personalized therapy. Computational research in this arena has major challenges such as handling large volume of highly heterogeneous data sets. To extract knowledge, researchers must integrate data from several sources and efficiently query these large and diverse data sets. This presents daunting informatics challenges such as suitable data representation for computational inference (knowledge representation), linking heterogeneous data sets (data integration) and keeping track of the source of the data to be aggregated. Many of these challenges can be categorized as data integration problems. In this paper, we present relevant methodologies from the field of data integration as potential solution for such challenges encountered by computational biologist while handling diversified data. The work presented in the paper represents the first crucial step towards identifying cancer biomarkers leading to cancer pathways signatures and personalized medicine.","PeriodicalId":6392,"journal":{"name":"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops","volume":"1 1","pages":"844-846"},"PeriodicalIF":0.0,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91132374","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}
Pub Date : 2012-10-04DOI: 10.1109/BIBM.2012.6392654
Mohamed F. Ghalwash, Dusan Ramljak, Z. Obradovic
Early classification of time series has been receiving a lot of attention as of late, particularly in the context of gene expression. In the biomédical realm, early classification can be of tremendous help, by identifying the onset of a disease before it has time to fully take hold, or determining that a treatment has done its job and can be discontinued. In this paper we present a state-of-the-art model, which we call the Early Classification Model (ECM), that allows for early, accurate, and patient-specific classification of multivariate time series. The model is comprised of an integration of the widely-used HMM and SVM models, which, while not a new technique per se, has not been used for early classification of multivariate time series classification until now. It attained very promising results on the datasets we tested it on: in our experiments based on a published dataset of response to drug therapy in Multiple Sclerosis patients, ECM used only an average of 40% of a time series and was able to outperform some of the baseline models, which needed the full time series for classification.
{"title":"Early classification of multivariate time series using a hybrid HMM/SVM model","authors":"Mohamed F. Ghalwash, Dusan Ramljak, Z. Obradovic","doi":"10.1109/BIBM.2012.6392654","DOIUrl":"https://doi.org/10.1109/BIBM.2012.6392654","url":null,"abstract":"Early classification of time series has been receiving a lot of attention as of late, particularly in the context of gene expression. In the biomédical realm, early classification can be of tremendous help, by identifying the onset of a disease before it has time to fully take hold, or determining that a treatment has done its job and can be discontinued. In this paper we present a state-of-the-art model, which we call the Early Classification Model (ECM), that allows for early, accurate, and patient-specific classification of multivariate time series. The model is comprised of an integration of the widely-used HMM and SVM models, which, while not a new technique per se, has not been used for early classification of multivariate time series classification until now. It attained very promising results on the datasets we tested it on: in our experiments based on a published dataset of response to drug therapy in Multiple Sclerosis patients, ECM used only an average of 40% of a time series and was able to outperform some of the baseline models, which needed the full time series for classification.","PeriodicalId":6392,"journal":{"name":"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops","volume":"189 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75072371","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}
Pub Date : 2012-10-04DOI: 10.1109/BIBMW.2012.6470307
T. Cohen, D. Widdows, R. Schvaneveldt, T. Rindflesch
In this paper we extend the Predication-based Semantic Indexing (PSI) approach to search efficiently across triple-predicate pathways in a database of predications extracted from the biomédical literature by the SemRep system. PSI circumvents the combinatorial explosion of possible pathways by converting the task of traversing individual predications into the task of measuring the similarity between composite concept vectors. Consequently, search time for single, double or triple predicate paths is identical once the relevant concept vectors have been constructed. This paper describes the application of PSI to infer double and triple predicate pathways connecting example pairs of therapeutically related drugs and diseases; and to use these inferred pathways to guide search for treatments for other diseases. In an evaluation of the utility of vector-based dual- and triple-predicate path search in a simulated discovery experiment, these approaches are found to be complementary, with best performance obtained through their application in combination.
{"title":"Discovery at a distance: Farther journeys in predication space","authors":"T. Cohen, D. Widdows, R. Schvaneveldt, T. Rindflesch","doi":"10.1109/BIBMW.2012.6470307","DOIUrl":"https://doi.org/10.1109/BIBMW.2012.6470307","url":null,"abstract":"In this paper we extend the Predication-based Semantic Indexing (PSI) approach to search efficiently across triple-predicate pathways in a database of predications extracted from the biomédical literature by the SemRep system. PSI circumvents the combinatorial explosion of possible pathways by converting the task of traversing individual predications into the task of measuring the similarity between composite concept vectors. Consequently, search time for single, double or triple predicate paths is identical once the relevant concept vectors have been constructed. This paper describes the application of PSI to infer double and triple predicate pathways connecting example pairs of therapeutically related drugs and diseases; and to use these inferred pathways to guide search for treatments for other diseases. In an evaluation of the utility of vector-based dual- and triple-predicate path search in a simulated discovery experiment, these approaches are found to be complementary, with best performance obtained through their application in combination.","PeriodicalId":6392,"journal":{"name":"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops","volume":"152 1","pages":"218-225"},"PeriodicalIF":0.0,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75817838","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}
Pub Date : 2012-10-04DOI: 10.1109/BIBMW.2012.6470283
Andrew McKnight, Kamal Al-Nasr, Dong Si, Andrey N. Chernikov, N. Chrisochoides, Jing He
Cryo-electron Microscopy (cryoEM) is an important biophysical technique that produces 3-dimensional (3D) images at different resolutions. De novo modeling is becoming a promising approach to derive the atomic structure of proteins from the cryoEM 3D images at medium resolutions. Distance measurement along a thin skeleton in the 3D image is an important step in de novo modeling. In spite of the need of such measurement, little has been investigated about the accuracy of the measurement in searching for an effective method. We propose a new computational geometric approach to estimate the distance along the skeleton. Our preliminary test results show that the method was able to estimate fairly well in eleven cases.
{"title":"CryoEM skeleton length estimation using a decimated curve","authors":"Andrew McKnight, Kamal Al-Nasr, Dong Si, Andrey N. Chernikov, N. Chrisochoides, Jing He","doi":"10.1109/BIBMW.2012.6470283","DOIUrl":"https://doi.org/10.1109/BIBMW.2012.6470283","url":null,"abstract":"Cryo-electron Microscopy (cryoEM) is an important biophysical technique that produces 3-dimensional (3D) images at different resolutions. De novo modeling is becoming a promising approach to derive the atomic structure of proteins from the cryoEM 3D images at medium resolutions. Distance measurement along a thin skeleton in the 3D image is an important step in de novo modeling. In spite of the need of such measurement, little has been investigated about the accuracy of the measurement in searching for an effective method. We propose a new computational geometric approach to estimate the distance along the skeleton. Our preliminary test results show that the method was able to estimate fairly well in eleven cases.","PeriodicalId":6392,"journal":{"name":"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops","volume":"19 1","pages":"109-113"},"PeriodicalIF":0.0,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76736758","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}
Pub Date : 2012-10-04DOI: 10.1109/BIBMW.2012.6470215
Renato de Paula, M. Holanda, M. E. Walter, Sérgio Lifschitz
In this article, we propose the application of the PROV-DM model to manage data provenance for workflows designed to support genome projects. This provenance model aims at storing details of each execution of the workflow, which include raw and produced data, computational tools and versions, parameters, and so on. This way, biologists can review details of a particular workflow execution, compare information generated among different executions, and plan new ones more efficiently. In addition, we have created a provenance simulator to facilitate the inclusion of a provenance data model in genome projects. In order to validate our proposal, we discuss a case study of an RNA-Seq project that aims to identify, measure and compare RNA expression levels across liver and kidney RNA samples produced by high-throughput automatic sequencers.
{"title":"Managing data provenance in genome project workflows","authors":"Renato de Paula, M. Holanda, M. E. Walter, Sérgio Lifschitz","doi":"10.1109/BIBMW.2012.6470215","DOIUrl":"https://doi.org/10.1109/BIBMW.2012.6470215","url":null,"abstract":"In this article, we propose the application of the PROV-DM model to manage data provenance for workflows designed to support genome projects. This provenance model aims at storing details of each execution of the workflow, which include raw and produced data, computational tools and versions, parameters, and so on. This way, biologists can review details of a particular workflow execution, compare information generated among different executions, and plan new ones more efficiently. In addition, we have created a provenance simulator to facilitate the inclusion of a provenance data model in genome projects. In order to validate our proposal, we discuss a case study of an RNA-Seq project that aims to identify, measure and compare RNA expression levels across liver and kidney RNA samples produced by high-throughput automatic sequencers.","PeriodicalId":6392,"journal":{"name":"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops","volume":"34 1","pages":"654-661"},"PeriodicalIF":0.0,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76888371","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}
Pub Date : 2012-10-04DOI: 10.1109/BIBMW.2012.6470356
Xiaohong Xu, Shudong Chen, Xiaoling Xu
[Purpose] This study aimed to evaluate the immediate effects of Balancing acupuncture as adjuvant therapy for patients with acute lumbar disc herniation (ALDH). [Method] We recruited 47 patients with ALDH in Orthopedic therapy center of Guangdong Provincial Hospital of Chinese Medicine in China. McGill pain questionnaire (MPQ) and clinical effects of Balancing acupuncture were measured. [Results] We found that no case showed clinical cure, 42 cases showed improvement, while 5 cases showed ineffectiveness, indicating an improvement rate of 89.4%. Immediate MPQ total score after Balancing acupuncture was lower than before treatment, which showed a statistical significance between them (P=0.0000<;0.05). Differences in PRI, VAS, and PPI reached statistical significance (P<;0.05). A statistically significant difference was found in Pain perception score before and after treatment (P=0.0125<;0.05), while pain emotion score failed to reach statistical significance (P=0.6983>0.05). [Conclusions] The results suggested that Balancing acupuncture may lead to immediate benefits for patients with ALDH.
{"title":"A novel acupuncture for killing lumbago: Immediate effects of balancing acupuncture for acute lumbar disc herniation","authors":"Xiaohong Xu, Shudong Chen, Xiaoling Xu","doi":"10.1109/BIBMW.2012.6470356","DOIUrl":"https://doi.org/10.1109/BIBMW.2012.6470356","url":null,"abstract":"[Purpose] This study aimed to evaluate the immediate effects of Balancing acupuncture as adjuvant therapy for patients with acute lumbar disc herniation (ALDH). [Method] We recruited 47 patients with ALDH in Orthopedic therapy center of Guangdong Provincial Hospital of Chinese Medicine in China. McGill pain questionnaire (MPQ) and clinical effects of Balancing acupuncture were measured. [Results] We found that no case showed clinical cure, 42 cases showed improvement, while 5 cases showed ineffectiveness, indicating an improvement rate of 89.4%. Immediate MPQ total score after Balancing acupuncture was lower than before treatment, which showed a statistical significance between them (P=0.0000<;0.05). Differences in PRI, VAS, and PPI reached statistical significance (P<;0.05). A statistically significant difference was found in Pain perception score before and after treatment (P=0.0125<;0.05), while pain emotion score failed to reach statistical significance (P=0.6983>0.05). [Conclusions] The results suggested that Balancing acupuncture may lead to immediate benefits for patients with ALDH.","PeriodicalId":6392,"journal":{"name":"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops","volume":"43 1","pages":"437-440"},"PeriodicalIF":0.0,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79925725","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}
Pub Date : 2012-10-04DOI: 10.1109/BIBMW.2012.6470328
Nipeng Lin, Changeai Xie, Xiaohong Xu, W. Fu
Obsessive-compulsive disorder (obsessive - compulsive disorder) is a neurotic mental disorders characterized by the uncontrolled obsessions and compulsive behavior. Patients know that the continued obsessive-compulsive symptoms are pointless and unreasonable, but can not get rid of it. Therefore they feel very nervous and suffering. Acupuncture for obsessive - compulsive disorder guided by TCM Heart and Gall Theory can improve the blood supply in brain, adjust the HPA function, regulate immune function, bidirectionally regulate the release of SP and affect the metabolism of NE. Hence, the efficacy and effectiveness of acupuncture for OCD on TCM Heart-Gall Bladder Concept have been widely recognized.
{"title":"The mechanism of acupuncture for obsessive-complusive disorder on TCM heart-gallbladder concept","authors":"Nipeng Lin, Changeai Xie, Xiaohong Xu, W. Fu","doi":"10.1109/BIBMW.2012.6470328","DOIUrl":"https://doi.org/10.1109/BIBMW.2012.6470328","url":null,"abstract":"Obsessive-compulsive disorder (obsessive - compulsive disorder) is a neurotic mental disorders characterized by the uncontrolled obsessions and compulsive behavior. Patients know that the continued obsessive-compulsive symptoms are pointless and unreasonable, but can not get rid of it. Therefore they feel very nervous and suffering. Acupuncture for obsessive - compulsive disorder guided by TCM Heart and Gall Theory can improve the blood supply in brain, adjust the HPA function, regulate immune function, bidirectionally regulate the release of SP and affect the metabolism of NE. Hence, the efficacy and effectiveness of acupuncture for OCD on TCM Heart-Gall Bladder Concept have been widely recognized.","PeriodicalId":6392,"journal":{"name":"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops","volume":"37 1","pages":"336-339"},"PeriodicalIF":0.0,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80409301","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}
Pub Date : 2012-10-04DOI: 10.1109/BIBMW.2012.6470269
Teng L. Liu, Yu Zhang, J. Dennis
Several studies show that nucleosome occupancy patterns around transcription starting sites provide evolutionary and regulatory information about genes. However, as transcription starting sites may not accurately reflect physical nucleosome occupancy patterns, clustering of nucleosome occupancy patterns centered at transcription starting sites may give rise to inaccurate and blurred cluster centers, leading to potentially inaccurate conclusions. In this paper, we propose a joint clustering and alignment method and apply it to clustering of nucleosome occupancy patterns around transcription starting sites. The experimental results using the human genome-wide data show that alignment affects the significant majority of genes and leads to more pronounced local nucleosome occupancy patterns.
{"title":"Joint clustering and alignment for nucleosome occupancy analysis","authors":"Teng L. Liu, Yu Zhang, J. Dennis","doi":"10.1109/BIBMW.2012.6470269","DOIUrl":"https://doi.org/10.1109/BIBMW.2012.6470269","url":null,"abstract":"Several studies show that nucleosome occupancy patterns around transcription starting sites provide evolutionary and regulatory information about genes. However, as transcription starting sites may not accurately reflect physical nucleosome occupancy patterns, clustering of nucleosome occupancy patterns centered at transcription starting sites may give rise to inaccurate and blurred cluster centers, leading to potentially inaccurate conclusions. In this paper, we propose a joint clustering and alignment method and apply it to clustering of nucleosome occupancy patterns around transcription starting sites. The experimental results using the human genome-wide data show that alignment affects the significant majority of genes and leads to more pronounced local nucleosome occupancy patterns.","PeriodicalId":6392,"journal":{"name":"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops","volume":"32 1","pages":"934-936"},"PeriodicalIF":0.0,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82713956","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}
Pub Date : 2012-10-04DOI: 10.1109/BIBM.2012.6392714
Xingchi Hu, Yanhong Zhou, Chuang Ma
Drosha is a class of RNase III enzyme plays important roles in the microRNA (miRNA) generation by cleaving primary miRNAs to release hairpin-shaped miRNA precursors. Accurately predicting the Drosha cleavage positions (i.e., processing sites) is helpful for the identification of miRNAs and the understanding of miRNA biogenesis mechanisms. In this study, we presented a Drosha processing site predictor, termed DroshaPSP, with a two-step prediction model by integrating structure and sequence features. Testing results on the Drosophila melanogaster miRNA data showed that DroshaPSP obtained a sensitivity of 0.859, a specificity of 0.999, and a Matthew's Correlation Coefficient of 0.864. We also found that the Shannon entropy is a powerful structure feature for DroshaPSP to distinguish true Drosha processing sites from the nearby pseudo processing sites effectively.
{"title":"Recognizing drosha processing sites by a two-step prediction model with structure and sequence information","authors":"Xingchi Hu, Yanhong Zhou, Chuang Ma","doi":"10.1109/BIBM.2012.6392714","DOIUrl":"https://doi.org/10.1109/BIBM.2012.6392714","url":null,"abstract":"Drosha is a class of RNase III enzyme plays important roles in the microRNA (miRNA) generation by cleaving primary miRNAs to release hairpin-shaped miRNA precursors. Accurately predicting the Drosha cleavage positions (i.e., processing sites) is helpful for the identification of miRNAs and the understanding of miRNA biogenesis mechanisms. In this study, we presented a Drosha processing site predictor, termed DroshaPSP, with a two-step prediction model by integrating structure and sequence features. Testing results on the Drosophila melanogaster miRNA data showed that DroshaPSP obtained a sensitivity of 0.859, a specificity of 0.999, and a Matthew's Correlation Coefficient of 0.864. We also found that the Shannon entropy is a powerful structure feature for DroshaPSP to distinguish true Drosha processing sites from the nearby pseudo processing sites effectively.","PeriodicalId":6392,"journal":{"name":"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops","volume":"34 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82744774","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}
Pub Date : 2012-10-04DOI: 10.1109/BIBMW.2012.6470336
K. Bao, Han-guo Peng, P. Su
Arteriovenous fistula (AVF) is so important to hemodialysis patients that it is called their lifeline. In modern society, it is particularly urgent to improve AVF surgeon's micrological technique as patients' vascular condition tending to deteriorate because of increasing population aging and prevalence of hypertension and diabetes. So this paper is made to discuss how to improve the AVF surgeon's micrological technique from the following three aspects: enhancing the capability of hand movement control, establishing the concept of main-secondary hand and surgery airspace.
{"title":"Discussion on the improvement of the arteriovenous fistula surgeon's micrological technique","authors":"K. Bao, Han-guo Peng, P. Su","doi":"10.1109/BIBMW.2012.6470336","DOIUrl":"https://doi.org/10.1109/BIBMW.2012.6470336","url":null,"abstract":"Arteriovenous fistula (AVF) is so important to hemodialysis patients that it is called their lifeline. In modern society, it is particularly urgent to improve AVF surgeon's micrological technique as patients' vascular condition tending to deteriorate because of increasing population aging and prevalence of hypertension and diabetes. So this paper is made to discuss how to improve the AVF surgeon's micrological technique from the following three aspects: enhancing the capability of hand movement control, establishing the concept of main-secondary hand and surgery airspace.","PeriodicalId":6392,"journal":{"name":"2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops","volume":"28 1","pages":"362-364"},"PeriodicalIF":0.0,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80295709","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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