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

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The use of SNOMED CT to support retrieval and re-use of Question and Answer Sets for patient registries 使用SNOMED CT支持检索和重新使用患者登记的问答集
Int. J. Funct. Informatics Pers. Medicine Pub Date : 1900-01-01 DOI: 10.1504/IJFIPM.2010.040214
R. Richesson, Denise Shereff, Christine Spisla, Narciso Albarracin, Debra J. Konicek, J. Andrews
{"title":"The use of SNOMED CT to support retrieval and re-use of Question and Answer Sets for patient registries","authors":"R. Richesson, Denise Shereff, Christine Spisla, Narciso Albarracin, Debra J. Konicek, J. Andrews","doi":"10.1504/IJFIPM.2010.040214","DOIUrl":"https://doi.org/10.1504/IJFIPM.2010.040214","url":null,"abstract":"Patient registries are a valuable research tool for understanding disease and can support new therapies. Diverse registry models, sponsors, and data requirements complicate efforts for the standardisation of registry Questions And Answer Sets (QAS). Bottom-up standardisation can be achieved by facilitating the re-use of existing questions through the use of searchable metadata coded using controlled terminologies. This paper describes the Patient Registry Item Specifications and Metadata for Rare Diseases (PRISM) library of registry questions representing a variety of rare diseases. PRISM uses the Dublin Core (DC) and the Systematised Nomenclature of Medicine Clinical Terms (SNOMED CT).","PeriodicalId":216126,"journal":{"name":"Int. J. Funct. Informatics Pers. Medicine","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125869348","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: 5
Enzyme classification using reactive motifs 使用反应基序的酶分类
Int. J. Funct. Informatics Pers. Medicine Pub Date : 1900-01-01 DOI: 10.1504/IJFIPM.2014.068173
Thanapat Kangkachit, Kitsana Waiyamai, P. Lenca
{"title":"Enzyme classification using reactive motifs","authors":"Thanapat Kangkachit, Kitsana Waiyamai, P. Lenca","doi":"10.1504/IJFIPM.2014.068173","DOIUrl":"https://doi.org/10.1504/IJFIPM.2014.068173","url":null,"abstract":"Reactive motifs are short conserved sub–sequences discovered from functional sites of enzyme sequences, and can be used as an effective representation of enzyme sequences. However, the lack of site information leads to low–coverage reactive motifs. With the use of background knowledge, a motif generalisation method is required to increase reactive motifs' coverage. We show that a fuzzy concept lattice (FCL) provides an efficient representation of both single–value and multi–value biological background knowledge and an efficient computational support for generalising reactive motifs. Compared to statistical and expert–based motifs, we show that the generalised reactive motifs using FCL with SVM classifier produce satisfactory accuracy in classifying new enzymes. Further, they improve interpretability of the classification results and provide more biological evidences to biologists. All of the generalised reactive motifs are relevant to the functional sites, and the way they are combined to perform protein function is useful for numerous applications in bioinformatics.","PeriodicalId":216126,"journal":{"name":"Int. J. Funct. Informatics Pers. Medicine","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129825403","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
Computer-aided disease diagnosis system in TCM based on facial image analysis 基于面部图像分析的中医计算机辅助疾病诊断系统
Int. J. Funct. Informatics Pers. Medicine Pub Date : 1900-01-01 DOI: 10.1504/IJFIPM.2009.030829
Xiaoqiang Li, Fufeng Li, Yiqin Wang, P. Qian, Xiaoyan Zheng
{"title":"Computer-aided disease diagnosis system in TCM based on facial image analysis","authors":"Xiaoqiang Li, Fufeng Li, Yiqin Wang, P. Qian, Xiaoyan Zheng","doi":"10.1504/IJFIPM.2009.030829","DOIUrl":"https://doi.org/10.1504/IJFIPM.2009.030829","url":null,"abstract":"Diagnosing diseases through observing the personal face is the Traditional Chinese Medicine (TCM), which is a unique diagnostic method. Clinical experiences in TCM have proved that facial complexion can tell whether the one is healthy. A novel Computer-Aided Disease Diagnosis System (CADDS), acquiring the facial complexion information based on analysing image captured by digital camera, is proposed in this paper. System architecture and image analysis method are carefully illustrated. CADDS was developed for assistant facial-complexion-based diagnosis, which standardised the method to acquire the facial complexion information and avoids depending on the physician's experience and illumination condition. This study is helpful in promoting quantitative-analysis-based diagnosis in TCM.","PeriodicalId":216126,"journal":{"name":"Int. J. Funct. Informatics Pers. Medicine","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116171115","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: 26
Virtual physical examination (VPE): a multimedia system for education in medicine 虚拟体检(VPE):医学教育的多媒体系统
Int. J. Funct. Informatics Pers. Medicine Pub Date : 1900-01-01 DOI: 10.1504/IJFIPM.2014.068176
T. Joshi, R. Williamson, K. Patil, Suwit Viyanon, Xiangge Li, Yufu Zhang, Wenchuan Qi, Dong Li, Jeremy Zimmer, U. Illindala, S. Foley, Robert Campbell, Ye Duan, Dong-Guo Xu
{"title":"Virtual physical examination (VPE): a multimedia system for education in medicine","authors":"T. Joshi, R. Williamson, K. Patil, Suwit Viyanon, Xiangge Li, Yufu Zhang, Wenchuan Qi, Dong Li, Jeremy Zimmer, U. Illindala, S. Foley, Robert Campbell, Ye Duan, Dong-Guo Xu","doi":"10.1504/IJFIPM.2014.068176","DOIUrl":"https://doi.org/10.1504/IJFIPM.2014.068176","url":null,"abstract":"The virtual physical examination (VPE) platform is a web–based, multimedia system for medical examination education, distributed and supported by Cerner. The system was built using MySQL, Flash and PHP and developed for creating and conducting physical examinations on virtual patient cases in a simulated environment. VPE allows users to perform physical examinations virtually on patients. A user can create 3D avatars of patients, build medical cases, perform diagnosis and attach associated files including audio, video, image, text and interactive assets. VPE allows for controlled sharing of assets as well as full cases, either within the same organisation or publicly. A video demonstrating VPE can be found at http://digbio.missouri.edu/Cerner/Cerner_VPE_Demo.mp4. VPE has broad educational applications ranging from the basic introduction of medicine to high school students to advanced education for nursing and medical students. The solution is used to both teach and reinforce physical exam concepts. VPE is available at https://vpe.cernerlearningmanager.com.","PeriodicalId":216126,"journal":{"name":"Int. J. Funct. Informatics Pers. Medicine","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126499748","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
Integrated optimisation method for personalised modelling and case studies for medical decision support 医疗决策支持的个性化建模和案例研究的集成优化方法
Int. J. Funct. Informatics Pers. Medicine Pub Date : 1900-01-01 DOI: 10.1504/IJFIPM.2010.039123
N. Kasabov, Yingjie Hu
{"title":"Integrated optimisation method for personalised modelling and case studies for medical decision support","authors":"N. Kasabov, Yingjie Hu","doi":"10.1504/IJFIPM.2010.039123","DOIUrl":"https://doi.org/10.1504/IJFIPM.2010.039123","url":null,"abstract":"Personalised modelling aims to create a unique computational diagnostic or prognostic model for an individual. The paper reports a new Integrated Method for Personalised Modelling (IMPM) that applies global optimisation of variables (features) and neighbourhood of appropriate data samples to create an accurate personalised model for an individual. The proposed IMPM allows for adaptation, monitoring and improvement of an individual's model. Three medical decision support problems are used as illustrations: cancer diagnosis and profiling; risk of disease evaluation based on whole genome SNPs data; chronic disease decision support. The method leads to improved accuracy and unique personalised profiling that could be used for personalised treatment and personalised drug design.","PeriodicalId":216126,"journal":{"name":"Int. J. Funct. Informatics Pers. Medicine","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125697997","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: 40
Personal genome analysis: a tread towards personalised medicine 个人基因组分析:迈向个性化医疗的一步
Int. J. Funct. Informatics Pers. Medicine Pub Date : 1900-01-01 DOI: 10.1504/IJFIPM.2014.068180
D. Jaggi, Heena Dhiman, Sonam Arora, Vidhi Malik, Y. Hasija
{"title":"Personal genome analysis: a tread towards personalised medicine","authors":"D. Jaggi, Heena Dhiman, Sonam Arora, Vidhi Malik, Y. Hasija","doi":"10.1504/IJFIPM.2014.068180","DOIUrl":"https://doi.org/10.1504/IJFIPM.2014.068180","url":null,"abstract":"Recent developments in whole–genome sequencing technology have introduced to us, completely determined genome sequences of many individuals, called 'personal genomes'. As personal genome sequencing is being commoditised, the necessity to discover sequence dissimilarities is increasing, to facilitate clinical diagnostic studies. For this we need to have the knowledge of regions containing duplications, rearrangements and large scale gain and loss of sequences. Apart from that storage and retrieval of such a varied dataset and the basic analysis of genomic sequence is very important, to interpret the complex personal genomes. Thus, acquaintance with computational techniques that aid in easy and fast analysis of whole genome sequences is quite essential. Hereby we are discussing some of the tools that are being successfully used for gene prediction, sequencing, gene annotation, genome comparisons along with some ELSIs associated with such studies. Such modernised tools and methods can deduce the molecular make–up of each individual for the conception of personalised medicine.","PeriodicalId":216126,"journal":{"name":"Int. J. Funct. Informatics Pers. Medicine","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130858412","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
Inference of domain-domain interactions by matrix factorisation and domain-level features 基于矩阵分解和域级特征的域-域交互推理
Int. J. Funct. Informatics Pers. Medicine Pub Date : 1900-01-01 DOI: 10.1504/IJFIPM.2014.068174
Thi Tu Kien Le, Osamu Hirose, Thi Lan Anh Nguyen, Thammakorn Saethang, Vu Anh Tran, Xuan Tho Dang, D. Ngo, Mamoru Kubo, Yoichi Yamada, K. Satou
{"title":"Inference of domain-domain interactions by matrix factorisation and domain-level features","authors":"Thi Tu Kien Le, Osamu Hirose, Thi Lan Anh Nguyen, Thammakorn Saethang, Vu Anh Tran, Xuan Tho Dang, D. Ngo, Mamoru Kubo, Yoichi Yamada, K. Satou","doi":"10.1504/IJFIPM.2014.068174","DOIUrl":"https://doi.org/10.1504/IJFIPM.2014.068174","url":null,"abstract":"In the development of new drugs and improved treatment of diseases, it is essential to understand molecular networks in living organism. Especially, it is important to identify interacting domains among proteins to elucidate hidden functions for protein–protein interactions (PPIs). To date, a number of computational methods have been developed for predicting domain–domain interactions (DDIs) from known PPIs. However, they often contain a large number of false positives while the number of known structures of protein complexes is limited. In this study, we aim to develop a new method of predicting DDIs by a link prediction approach. By using a learning model including low rank matrices as latent features in combination with biological features and topological features of the domain network, the experimental results showed that our method achieved a good performance and the predicted DDIs have high fraction sharing rate with the ones known as true in gold–standard databases.","PeriodicalId":216126,"journal":{"name":"Int. J. Funct. Informatics Pers. Medicine","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129437758","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
A novel segmentation of tongue image 一种新的舌头图像分割方法
Int. J. Funct. Informatics Pers. Medicine Pub Date : 1900-01-01 DOI: 10.1504/IJFIPM.2009.030830
Wenshu Li, S. Hu, Hongting Li, Song Wang
{"title":"A novel segmentation of tongue image","authors":"Wenshu Li, S. Hu, Hongting Li, Song Wang","doi":"10.1504/IJFIPM.2009.030830","DOIUrl":"https://doi.org/10.1504/IJFIPM.2009.030830","url":null,"abstract":"The segmentation of the body of tongue is a premise to establishing a system of automatic diagnosis by the feature of tongue in Traditional Chinese Medicine (TCM), whose qualities affect the performance of tongue diagnosis. Because of similar colour between tongue body and background, it is difficult to segment tongue. To overcome two key difficulties with the initialisation and boundary concavities (important to the analysis of tooth's marks), a novel method for tongue contour extraction based on improved level set curve evolution is proposed. We present an automatic initialisation of contour by the feature of tongue in the HSV colour space. Improved level set method takes tongue contour shape constraint represented by energy function between the evolving curve and parametric shape model. In addition, the regularity of the level set function is intrinsically preserved by the level set regularisation term to ensure accurate computation. Experimental results for the large database of tongue images show desirable performances of our method.","PeriodicalId":216126,"journal":{"name":"Int. J. Funct. Informatics Pers. Medicine","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124322699","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
Mutual understanding between Traditional Chinese Medicine and systems biology: gaps, challenges and opportunities 中医与系统生物学的相互理解:差距、挑战与机遇
Int. J. Funct. Informatics Pers. Medicine Pub Date : 1900-01-01 DOI: 10.1504/IJFIPM.2009.030826
Dong Xu
{"title":"Mutual understanding between Traditional Chinese Medicine and systems biology: gaps, challenges and opportunities","authors":"Dong Xu","doi":"10.1504/IJFIPM.2009.030826","DOIUrl":"https://doi.org/10.1504/IJFIPM.2009.030826","url":null,"abstract":"While Traditional Chinese Medicine (TCM) and systems biology have philosophical differences, both address human health using an integrative approach and both aim towards personalised medicine. The post-genomic era provides a unique opportunity for the two fields to understand and benefit from each other. In this review, the two approaches are compared, and various examples and hypotheses are provided to show how some practices in TCM might be interpreted by systems biology.","PeriodicalId":216126,"journal":{"name":"Int. J. Funct. Informatics Pers. Medicine","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122456443","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: 9
Editorial review: engineering modelling and intelligent computing are synergistic in translational medicine research 编辑评论:工程建模和智能计算在转化医学研究中是协同的
Int. J. Funct. Informatics Pers. Medicine Pub Date : 1900-01-01 DOI: 10.1504/IJFIPM.2009.030909
Ying Chen, N. Botros, Mary Yang
{"title":"Editorial review: engineering modelling and intelligent computing are synergistic in translational medicine research","authors":"Ying Chen, N. Botros, Mary Yang","doi":"10.1504/IJFIPM.2009.030909","DOIUrl":"https://doi.org/10.1504/IJFIPM.2009.030909","url":null,"abstract":"The field of engineering modelling and intelligent computing research has developed a large and substantial body of knowledge, based mostly in medical, healthcare, science and engineering programs. The basic paradigm has been the use of engineering and computational techniques, with the randomised clinical trial forming the main basis for progress. Quantitative models to analyse questions related to healthcare and personalised medicine have been used to design, validate and support the effective clinical applications. The use of advanced engineering and computational models to solve biomedical and healthcare problems for optimal design or resource allocations are key components of personalised medicine for decades. The development, implementation and transfer into clinical practice of data-driven models to support biological and medical research is an important research area in related fields. This special issue contains several ongoing research projects aimed at developing current signal and imaging and functional informatics techniques focusing on modern engineering modelling and computational medicine. Those papers represent important original scientific contributions to the modern biomedical and healthcare fields.","PeriodicalId":216126,"journal":{"name":"Int. J. Funct. Informatics Pers. Medicine","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117111937","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
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