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Int. J. Funct. Informatics Pers. Medicine最新文献

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Subhealth state classification with AdaBoost learner AdaBoost学习器的亚健康状态分类
Int. J. Funct. Informatics Pers. Medicine Pub Date : 2013-10-30 DOI: 10.1504/IJFIPM.2013.057406
Sheng Sun, Zhiya Zuo, Guozheng Li, Xiao-bo Yang
{"title":"Subhealth state classification with AdaBoost learner","authors":"Sheng Sun, Zhiya Zuo, Guozheng Li, Xiao-bo Yang","doi":"10.1504/IJFIPM.2013.057406","DOIUrl":"https://doi.org/10.1504/IJFIPM.2013.057406","url":null,"abstract":"Biopsychosocial approaches are the mainstay diagnostic methods for subhealth. This paper introduces the AdaBoost Learner to handle this issue. AdaBoost algorithm combine a series of weak classifiers, each of which performs slightly better than random guessing, to a strong one. In this paper, the AdaBoost Learners with discriminant classifiers and decision trees are built and two strong classifiers, support vector machine (SVM) and k–nearest neighbour (kNN), are adopted as control experiments. Two classification processes are constructed to distinguish health states and subhealth types respectively, where Fisher Score feature selection is for comparing performance with different feature subsets. Results indicate that the AdaBoost Learner with decision trees is the best among four classifiers in health states classification while the one with discriminant classifiers has the greatest performance in subhealth types classification. In health states classification, the highest accuracy reached 85.76% with 320 questions and 87.58% with 120 questions in subhealth types classification.","PeriodicalId":216126,"journal":{"name":"Int. J. Funct. Informatics Pers. Medicine","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127696858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Modelling traditional Chinese medicine therapy planning with POMDP 基于POMDP的中医治疗计划建模
Int. J. Funct. Informatics Pers. Medicine Pub Date : 2013-10-30 DOI: 10.1504/IJFIPM.2013.057405
Qi Feng, Xuezhong Zhou, Houkuan Huang, Xiaoping Zhang, Runshun Zhang
{"title":"Modelling traditional Chinese medicine therapy planning with POMDP","authors":"Qi Feng, Xuezhong Zhou, Houkuan Huang, Xiaoping Zhang, Runshun Zhang","doi":"10.1504/IJFIPM.2013.057405","DOIUrl":"https://doi.org/10.1504/IJFIPM.2013.057405","url":null,"abstract":"During the traditional Chinese medicine (TCM) treatment procedure, the manifestations of patients could be observed but the health state and TCM diagnosis of patient are uncertain. Thus, the real–world TCM therapy planning is a typical kind of dynamic decision making under uncertainty. Partially observable Markov decision process (POMDP) constitutes a powerful mathematical model for planning and is suitable for TCM therapy planning. In this paper, we apply POMDP to solve TCM therapy planning problem with all the dynamics inferred from TCM clinical data for type 2 diabetes treatment. This POMDP model contains 55 health states, 67 observation variables and 414 actions, it could order prescriptions for patients with type 2 diabetes. The results demonstrate that the POMDP model for TCM therapy planning is reasonable and helpful in clinical practice.","PeriodicalId":216126,"journal":{"name":"Int. J. Funct. Informatics Pers. Medicine","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116491954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Progress in research of peritoneal dialysis complicated with peritonitis 腹膜透析并发腹膜炎的研究进展
Int. J. Funct. Informatics Pers. Medicine Pub Date : 2013-10-30 DOI: 10.1504/IJFIPM.2013.057388
Li-li Deng, Wei Lin
{"title":"Progress in research of peritoneal dialysis complicated with peritonitis","authors":"Li-li Deng, Wei Lin","doi":"10.1504/IJFIPM.2013.057388","DOIUrl":"https://doi.org/10.1504/IJFIPM.2013.057388","url":null,"abstract":"In recent years, reports on the effects of nursing intervention on the incidence of peritoneal dialysis complicated with peritonitis have been increasing. With the advancement of medical technology and the development of medical materials, complications of peritoneal dialysis show a decreasing trend. Many experts and scholars have been continually exploring the causa morbid of peritoneal dialysis and excogitating measures that should be taken. In this paper a comprehensive review is done.","PeriodicalId":216126,"journal":{"name":"Int. J. Funct. Informatics Pers. Medicine","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124246664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The neurological principle: how traditional Chinese medicine unifies body and mind 神经学原理:中医如何统一身心
Int. J. Funct. Informatics Pers. Medicine Pub Date : 2013-10-30 DOI: 10.1504/IJFIPM.2013.057391
Stefan Jaeger
{"title":"The neurological principle: how traditional Chinese medicine unifies body and mind","authors":"Stefan Jaeger","doi":"10.1504/IJFIPM.2013.057391","DOIUrl":"https://doi.org/10.1504/IJFIPM.2013.057391","url":null,"abstract":"The unity of body and mind is an important concept in Chinese philosophy. Traditionally, the concept is informal and fuzzy, with no well defined meaning in the mathematical sense. This paper proposes a formal information–theoretical model for neural signal processing, arguing that physical principles are neural phenomena. For example, using the proposed model, the paper shows that time–dilation in Einstein's theory of relativity and Heisenberg's uncertainty principle can both be observed in neural signal processing. The paper therefore proposes a new concept, the neurological principle, which subsumes different natural principles. In particular, the paper shows that Yin and Yang, the two forces that according to Chinese philosophy pervade the universe and every entity therein, can be explained with the proposed model. These results provide Chinese medicine with a stronger mathematical foundation.","PeriodicalId":216126,"journal":{"name":"Int. J. Funct. Informatics Pers. Medicine","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131723352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Sore throat to patients with IgA nephropathy: traditional Chinese medicine treatment IgA肾病患者咽喉痛的中药治疗
Int. J. Funct. Informatics Pers. Medicine Pub Date : 2013-10-30 DOI: 10.1504/IJFIPM.2013.057390
P. Su, K. Bao, W. Mao
{"title":"Sore throat to patients with IgA nephropathy: traditional Chinese medicine treatment","authors":"P. Su, K. Bao, W. Mao","doi":"10.1504/IJFIPM.2013.057390","DOIUrl":"https://doi.org/10.1504/IJFIPM.2013.057390","url":null,"abstract":"IgA nephropathy (IgAN) with the sore throat is common in clinical practice. It has been confirmed that a sore throat is closely related to the process of IgAN generation and development. Both doctors and patients are bothered with this disease. The application of the modern medicine in this field is limited because of antibiosis abuse and adverse effects. Traditional Chinese medicine (TCM) provides another method to treat it. In TCM theory, according to the syndrome differentiation, the two common syndromes of IgAN with sore throat are hot junction in the throat and hyperactivity of hypopyrexia. The therapy of dispersing wind to ease heat, detoxicating heat and cooling blood to stop bleeding and nourishing renal yin to lessen fire, based on the syndrome differentiation, has attained a good clinical outcome in clinical practice.","PeriodicalId":216126,"journal":{"name":"Int. J. Funct. Informatics Pers. Medicine","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133662635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Effective framework for protein structure prediction 蛋白质结构预测的有效框架
Int. J. Funct. Informatics Pers. Medicine Pub Date : 2012-11-21 DOI: 10.1504/IJFIPM.2012.050426
Nagamma Patil, Durga Toshniwal, K. Garg
{"title":"Effective framework for protein structure prediction","authors":"Nagamma Patil, Durga Toshniwal, K. Garg","doi":"10.1504/IJFIPM.2012.050426","DOIUrl":"https://doi.org/10.1504/IJFIPM.2012.050426","url":null,"abstract":"This paper presents a computational system to predict protein structure using N–grams and a wrapper feature selection framework (the N–gram is a subsequence composed of N characters, extracted from a larger sequence). N–gram features are extracted from a dataset consisting of 277 domains: 70 all–α domains, 61 all–β domains, 81 α/β domains and 65 α + β domains. A wrapper feature selection system, GA–SVM, is applied to obtain an optimised feature set. Using the optimised 3070–feature subset, a classifier model is trained and tested in the Support Vector Machine (SVM) learning system. This model achieves an overall accuracy of 88.09%, evaluated by a 10–fold cross–validation test. This value is 4.7% higher than the one using the initial 6,414 features. Experimental results also illustrate that employing a feature subset selection, by using the proposed GA–SVM wrapper approach, has enhanced classification accuracy in comparison to other GA–based wrapper approaches and existing protein sequence encoding methods.","PeriodicalId":216126,"journal":{"name":"Int. J. Funct. Informatics Pers. Medicine","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133219070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Definition of a metadata model for a multi-layered clinical practice guideline representation framework 多层临床实践指南表示框架的元数据模型定义
Int. J. Funct. Informatics Pers. Medicine Pub Date : 2012-11-21 DOI: 10.1504/IJFIPM.2012.050427
Matthew Kim, Zachary Turechek, A. Boxwala, T. Hongsermeier, M. Krall, F. Sonnenberg, A. Wright, Blackford Middleton, S. Maviglia
{"title":"Definition of a metadata model for a multi-layered clinical practice guideline representation framework","authors":"Matthew Kim, Zachary Turechek, A. Boxwala, T. Hongsermeier, M. Krall, F. Sonnenberg, A. Wright, Blackford Middleton, S. Maviglia","doi":"10.1504/IJFIPM.2012.050427","DOIUrl":"https://doi.org/10.1504/IJFIPM.2012.050427","url":null,"abstract":"Representatives from a consortium of academic institutions, healthcare organisations, and commercial entities have collaborated to implement and evaluate a multi–layered representation framework targeted to promote the sharing and distribution of clinical practice guideline knowledge artefacts. Definition of a metadata model for knowledge artefacts submitted to a shared repository based on this framework proceeded through an iterative process that sought to strike a balance between the need to provide enough specification to allow for efficient indexing and retrieval and recognition of the potential burden imposed by excessive requirements.","PeriodicalId":216126,"journal":{"name":"Int. J. Funct. Informatics Pers. Medicine","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131397322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Learning from large dataset: segmentation of capsule endoscopy videos 从大数据集学习:胶囊内窥镜视频的分割
Int. J. Funct. Informatics Pers. Medicine Pub Date : 2012-11-21 DOI: 10.1504/IJFIPM.2012.050417
Xiaohui Yuan, B. Giritharan, Sandeep Panchakarla
{"title":"Learning from large dataset: segmentation of capsule endoscopy videos","authors":"Xiaohui Yuan, B. Giritharan, Sandeep Panchakarla","doi":"10.1504/IJFIPM.2012.050417","DOIUrl":"https://doi.org/10.1504/IJFIPM.2012.050417","url":null,"abstract":"Reviewing video of capsule endoscopy is a tedious work that takes hours. Hence, efficient and scalable approaches are needed to automate the process of large dataset and be able to refine the model given new examples. This paper presents an incremental SVM to learn from large dataset with dynamic patterns. Our method extends the reduced convex hull concept and defines the approximate skin segments of convex hulls. Experiments were conducted using synthetic data set, real–world data sets, and CE videos. Our results demonstrated highly competitive performance that requires much less resource, which cast new light on learning with limited resource.","PeriodicalId":216126,"journal":{"name":"Int. J. Funct. Informatics Pers. Medicine","volume":"164 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114919872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
A kernel approach for ensemble decision combinations with two-view mammography applications 集成决策组合与双视图乳房x线照相术应用的核心方法
Int. J. Funct. Informatics Pers. Medicine Pub Date : 2010-12-09 DOI: 10.1504/IJFIPM.2010.037152
W. Land, D. Margolis, M. Kallergi, J. Heine
{"title":"A kernel approach for ensemble decision combinations with two-view mammography applications","authors":"W. Land, D. Margolis, M. Kallergi, J. Heine","doi":"10.1504/IJFIPM.2010.037152","DOIUrl":"https://doi.org/10.1504/IJFIPM.2010.037152","url":null,"abstract":"An ensemble decision combination method was derived with kernel methods. An ensemble comprised of six Artificial Neural Networks (ANNs) was used to make benign?malignant predictions for breast lesions. The combination processing was evaluated for both single-view and two-view mammograms. The single-view combination showed marked improvements over the performance of each individual ANN, and the two-view combination showed marked improvements over the single-view combination performance. The work provides preliminary validation of the ensemble combination mechanism using an important clinically relevant data set.","PeriodicalId":216126,"journal":{"name":"Int. J. Funct. Informatics Pers. Medicine","volume":"328 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122163848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Mining of patient data: towards better treatment strategies for depression 患者数据的挖掘:对抑郁症更好的治疗策略
Int. J. Funct. Informatics Pers. Medicine Pub Date : 2010-11-30 DOI: 10.1504/IJFIPM.2010.037150
M. Hadzic, F. Hadzic, T. Dillon
{"title":"Mining of patient data: towards better treatment strategies for depression","authors":"M. Hadzic, F. Hadzic, T. Dillon","doi":"10.1504/IJFIPM.2010.037150","DOIUrl":"https://doi.org/10.1504/IJFIPM.2010.037150","url":null,"abstract":"An intelligent system based on data-mining technologies that can be used to assist in the prevention and treatment of depression is described. The system integrates three different kinds of patient data as well as the data describing mental health of therapists and their interaction with the patients. The system allows for the different data to be analysed in a conjoint manner using both traditional data-mining techniques and tree-mining techniques. Interesting patterns can emerge in this way to explain various processes and dynamics involved in the onset, treatment and management of depression, and help practitioners develop better prevention and treatment strategies.","PeriodicalId":216126,"journal":{"name":"Int. J. Funct. Informatics Pers. Medicine","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128531954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
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