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  1. Network Modeling Analysis in Health Informatics and Bioinformatics
  2. Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 3
  3. Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 3, Issue 1, December 2014
  4. Mobile self-management guide for young men with mild hemophilia in cases of minor injuries
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Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 7
Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 6
Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 5
Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 4
Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 3
Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 3, Issue 1, December 2014
HLAB27Pred: SVM-based precise method for predicting HLA-B*2705 binding peptides in antigenic sequences
In silico studies of deleterious non-synonymous single nucleotide polymorphisms (nsSNPs) of NRL gene
Gene interaction map: a paradigm for identifying significant pathways responsible for rheumatoid arthritis
Bag of words for semantic automatic medical image annotation
Potential of Bioinformatics as functional genomics tool: an overview
Molecular modeling and phylogenetic analysis of Esx homeobox-1 protein of Bubalus bubalis
Computational analysis of amprenavir resistance triple mutant (V32I, I47V and V82I) in HIV-1 protease
Towards a haptically enabled optometry training simulator
A system for grading diabetic maculopathy severity level
An integrated algorithm for local sequence alignment
Mobile self-management guide for young men with mild hemophilia in cases of minor injuries
Using MLP and SVM for predicting survival rate of oral cancer patients
In silico epigenetic profiling of hypermethylated genes in non-small cell lung cancer
Evolutionary pattern of four representative DNA repair proteins across six model organisms: an in silico analysis
Towards evaluating and enhancing the reach of online health forums for smoking cessation
Algorithms for global protein–protein interaction network alignment
Efficient consumption of the electronic health record in mHealth
A statistical feature selection technique
Significant patterns for oral cancer detection: association rule on clinical examination and history data
Binding affinity analysis and ADMET prediction of epigallocatechine gallate (EGCG) derivatives for AP-1 protein: a drug target for liver cancer
Greedy hierarchical binary classifiers for multi-class classification of biological data
An effective measure corresponding to biological significance
Visualization of health indicators: utilizing data mining techniques and statistical analysis for effective comparison of user profiles
Exploiting thread-level and instruction-level parallelism to cluster mass spectrometry data using multicore architectures
Cluster analysis of cancer data using semantic similarity, sequence similarity and biological measures
Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 2
Network Modeling Analysis in Health Informatics and Bioinformatics : Volume 1

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Mobile self-management guide for young men with mild hemophilia in cases of minor injuries

Content Provider Springer Nature Link
Author Lomotey, Richard K. Deters, Ralph Nilson, JoAnn Mulder, Kathy Schachter, Candice Wittmeier, Kristy
Copyright Year 2014
Abstract Hemophilia is a group of inherited disorders where a defect or absence of a clotting factor protein limits the ability of the blood to clot following injury. The most common form is Hemophilia A; it is classified as severe, moderate or mild. Those with severe and moderate Hemophilia are likely to experience bleeding into joints and muscles following minor injury and are advised to limit participation in rough activities. Those with milder disorders usually experience bleeds only after significant injury, and may participate in vigorous sports with few consequences. As a result, they sometimes ‘forget’ that they have Hemophilia, and are slow to recognize injuries which may require treatment. In our ongoing project, we designed a mobile app which is a self-assessment guide for young men with mild hemophilia. The mobile application guides the user in assessing suspected bleeds, applying appropriate first aid, and locating the nearest hemophilia treatment center. In this paper, we detail the architectural design of the mobile app (“HIRT?”). We proposed a three-layered distributed system architecture comprised of the mobile devices, a cloud-oriented proxy and a database server where user feedback is stored for further analysis. The proxy framework is designed to address the challenges of network latency in mobile environments since the primary means of communication is over wireless media. Preliminary evaluation of the proposed system shows high performance boost in terms of the minimization of latency. Furthermore, the usability test shows that the application is convenient to use by both mobile techies and non-techies.
Starting Page 1
Ending Page 10
Page Count 10
File Format PDF
ISSN 21926662
Journal Network Modeling Analysis in Health Informatics and Bioinformatics
Volume Number 3
Issue Number 1
e-ISSN 21926670
Language English
Publisher Springer Vienna
Publisher Date 2014-07-08
Publisher Place Vienna
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Computational Biology/Bioinformatics Cloud computing Mobile devices Proxy Hemophilia Database Complex Networks Health Informatics Distributed system Bioinformatics
Content Type Text
Resource Type Article
Subject Urology
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