標(biāo)題: Titlebook: Health Informatics Data Analysis; Methods and Examples Dong Xu,May D. Wang,Yunpeng Cai Book 2017 Springer International Publishing Switzerl [打印本頁] 作者: 尖酸好 時間: 2025-3-21 17:12
書目名稱Health Informatics Data Analysis影響因子(影響力)
書目名稱Health Informatics Data Analysis影響因子(影響力)學(xué)科排名
書目名稱Health Informatics Data Analysis網(wǎng)絡(luò)公開度
書目名稱Health Informatics Data Analysis網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Health Informatics Data Analysis被引頻次
書目名稱Health Informatics Data Analysis被引頻次學(xué)科排名
書目名稱Health Informatics Data Analysis年度引用
書目名稱Health Informatics Data Analysis年度引用學(xué)科排名
書目名稱Health Informatics Data Analysis讀者反饋
書目名稱Health Informatics Data Analysis讀者反饋學(xué)科排名
作者: 一大群 時間: 2025-3-21 20:14 作者: 甜得發(fā)膩 時間: 2025-3-22 01:50 作者: 嬰兒 時間: 2025-3-22 05:54
Health Informatics Data Analysis978-3-319-44981-4Series ISSN 2366-0988 Series E-ISSN 2366-0996 作者: antipsychotic 時間: 2025-3-22 12:21
https://doi.org/10.1007/978-3-319-44981-4Health informatics; Bioinformatics; Electrocardiogram; EEG; Biomedical image; Image fusion; Electronic hea作者: Arresting 時間: 2025-3-22 13:17
Yun Xu,Changyu Hu,Yang Dai,Jie Liangch we have already mentioned. These spaces will be constructed starting from the concept of an infinite symmetric product introduced in the last chapter. This construction will be applied to the so-called Moore spaces, which by construction are CW-complexes.作者: 開始發(fā)作 時間: 2025-3-22 20:25
Dong Xu,May D. Wang,Yunpeng CaiOffers a comprehensive overview of biomedical data types and explains why and how to examine types of data.Chapters provide both field overviews and sample analysis.Examines OMICs, an increasingly cri作者: Constrain 時間: 2025-3-23 00:39 作者: 痛得哭了 時間: 2025-3-23 04:51
Chao Zhang,Shunfu Xu,Dong Xuitutes the first detailedexposition on the algebraic topology of finite spaces. It is intendedfor topologists and combinatorialists, but it is also recommended foradvanced undergraduate students and graduate students with a modestknowledge of Algebraic Topology.作者: guzzle 時間: 2025-3-23 07:34
Fedor Lehocki,Igor Kossaczky,Martin Homola,Marek Mydliaritutes the first detailedexposition on the algebraic topology of finite spaces. It is intendedfor topologists and combinatorialists, but it is also recommended foradvanced undergraduate students and graduate students with a modestknowledge of Algebraic Topology.作者: affinity 時間: 2025-3-23 13:06 作者: Herpetologist 時間: 2025-3-23 14:06
Metagenomics for Monitoring Environmental Biodiversity: Challenges, Progress, and Opportunities,tep-by-step tutorial is then given using the popular QIIME pipeline on a bacterial 16S rRNA study case, which would benefit new scientists of the field for the startup of a successful metagenome project.作者: 裂隙 時間: 2025-3-23 19:18
Big Health Data Mining, involved in health informatics. Then we introduce some general data mining approaches applied to different levels of health data. Finally, a case study is illustrated as an example for applying computational methods on mining long-term EHR data in epidemiological studies.作者: Foolproof 時間: 2025-3-24 00:35
Computational Infrastructure for Telehealth,system. Telehealth solution provides a ‘complete-loop’ concept for hypertension management with sensor device, mobile, and web-based applications providing means for health status management for both healthcare consumer and healthcare provider.作者: BUOY 時間: 2025-3-24 03:09
2366-0988 iews and sample analysis.Examines OMICs, an increasingly criThis book provides a comprehensive overview of different biomedical data types, including both clinical and genomic data. Thorough explanations enable readers to explore key topics ranging from electrocardiograms to Big Data health mining a作者: Conflagration 時間: 2025-3-24 06:34
Book 2017 readers to explore key topics ranging from electrocardiograms to Big Data health mining and EEG analysis techniques. Each chapter offers a summary of the field and a sample analysis. Also covered are telehealth infrastructure, healthcare information association rules, methods for mass spectrometry 作者: 弄臟 時間: 2025-3-24 12:52 作者: 調(diào)情 時間: 2025-3-24 17:08 作者: libertine 時間: 2025-3-24 20:17 作者: 貞潔 時間: 2025-3-25 03:03 作者: OMIT 時間: 2025-3-25 05:23
Healthcare Data Mining, Association Rule Mining, and Applications,ution for personalized and evidence-based clinical decision support. Feasibility on how to use association rule mining is offered along with one example. The chapter concludes with a discussion of challenges that hamper the clinical use of conventional association rule mining and a few point-by-point solutions are provided.作者: Filibuster 時間: 2025-3-25 09:51 作者: flamboyant 時間: 2025-3-25 15:29
EEG Visualization and Analysis Techniques,begin to build a system for dynamic and onsite brain state analysis using EEG data. The system will allow users to transit EEG data to an online database through mobile devices, interact with the web server through web interface, and get feedback from EEG data analysis programs on real-time bases.作者: 嚴厲批評 時間: 2025-3-25 16:35
Global Nonlinear Fitness Function for Protein Structures,tructural fold. Such a landscape would be useful for engineering proteins with novel or enhanced biochemistry. It should be able to characterize the global fitness landscape of many proteins simultaneously, and can guide the search process to identify the correct protein sequences. We introduce two 作者: jungle 時間: 2025-3-25 22:25 作者: 疏忽 時間: 2025-3-26 01:35
Identification and Functional Annotation of LncRNAs in Human Disease,hnology, more and more lncRNAs are identified. However, only a few has known functions. It is still a challenge to annotate the functions of lncRNAs for both bioinformaticians and biologists. In this chapter, we gave a comprehensive review of the current bioinformatics methods to identify lncRNAs an作者: 外形 時間: 2025-3-26 04:49
Metabolomics Characterization of Human Diseases,ecular separation system is commonly used and hundreds of metabolite concentrations should be dealt with in this field. To help interpreting these data, the development of variety of data processing tools, database resources, visualization software, and pathway analyses are still active. Here, we re作者: 無法解釋 時間: 2025-3-26 10:02 作者: GLUE 時間: 2025-3-26 16:40 作者: Tractable 時間: 2025-3-26 20:40 作者: motivate 時間: 2025-3-26 22:05
Biomedical Imaging Informatics for Diagnostic Imaging Marker Selection, of a patient, these images are a rich source of information about disease-related markers. To extract robust and informative imaging markers, we need to regulate image quality, extract image features, select useful features, and validate them. Research and development of these computational methods作者: 讓空氣進入 時間: 2025-3-27 04:06 作者: exhilaration 時間: 2025-3-27 09:01 作者: EVEN 時間: 2025-3-27 12:44
Big Health Data Mining,aralleled challenges to data scientists. As an interdisciplinary field, the health data are not limited to electronic health record (EHR), as more and more molecular-level data are used for disease diagnosis and prognosis in clinics. Effectively integrating and mining these data holds an indispensab作者: 參考書目 時間: 2025-3-27 13:48
Computational Infrastructure for Telehealth,raphics related to population of middle-aged and older adults will result in 33% of overall EU population by 2025. Advances in technology created innovative means to support effective management of these challenges through telehealth model for healthcare delivery. In this chapter we introduce decisi作者: jabber 時間: 2025-3-27 19:10 作者: Ballerina 時間: 2025-3-28 01:45 作者: adipose-tissue 時間: 2025-3-28 05:20
Chanchala D. Kaddi,May D. Wang in algebraic geometry as understood by Lawson and Voevodsky. This method allows the authors to cover the material more efficiently than the more common method using homological algebra. The basic concepts of homotopy theory, such as fibrations and cofibrations, are used to construct singular homolo作者: Condense 時間: 2025-3-28 06:23
Masahiro Sugimoto unify these properties and define the generalized cohomology theories. Prom this point of view we shall be able to obtain several results that follow from the formal properties rather than from the specific characteristics of the theory in question. Further, we shall prove a theorem that shows that作者: AVID 時間: 2025-3-28 12:23
Raghu Chandramohan,Cheng Yang,Yunpeng Cai,May D. Wangs supplementary material: This volume deals with the theory of finite topological spaces and itsrelationship with the homotopy and simple homotopy theory of polyhedra.The interaction between their intrinsic combinatorial and topologicalstructures makes finite spaces a useful tool for studying proble作者: Hla461 時間: 2025-3-28 16:06 作者: 比喻好 時間: 2025-3-28 19:36 作者: 變化 時間: 2025-3-28 23:09
Sonal Kothari Phan,Ryan Hoffman,May D. Wangs supplementary material: This volume deals with the theory of finite topological spaces and itsrelationship with the homotopy and simple homotopy theory of polyhedra.The interaction between their intrinsic combinatorial and topologicalstructures makes finite spaces a useful tool for studying proble作者: 剛毅 時間: 2025-3-29 03:12 作者: GRIEF 時間: 2025-3-29 08:31 作者: cardiovascular 時間: 2025-3-29 12:26
Chao Zhang,Shunfu Xu,Dong Xuaction between their intrinsic combinatorial and topologicalstructures makes finite spaces a useful tool for studying problems inTopology, Algebra and Geometry from a new perspective. In particular,the methods developed in this manuscript are used to study Quillen‘sconjecture on the poset of p-subgr作者: Coronary 時間: 2025-3-29 16:49 作者: 吹氣 時間: 2025-3-29 23:10
Chih-Wen Cheng,May D. Wangs supplementary material: This volume deals with the theory of finite topological spaces and itsrelationship with the homotopy and simple homotopy theory of polyhedra.The interaction between their intrinsic combinatorial and topologicalstructures makes finite spaces a useful tool for studying proble作者: encomiast 時間: 2025-3-30 02:21
Global Nonlinear Fitness Function for Protein Structures,proteins from 14 million sequence decoys, while no linear fitness function can succeed in this task. In a blind test of unrelated proteins, the nonlinear fitness function misclassifies only 13 native proteins out of 194. This compares favorably with about 3–4 times more misclassifications when optim作者: Negligible 時間: 2025-3-30 04:50
Clinical Assessment of Disease Risk Factors Using SNP Data and Bayesian Methods,omplex biological processes involved in disease formation and development. Particularly, we outline how to use Bayesian approaches in the context of clinical applications to perform epistasis analysis while accounting for the block-type genome structure.
