Automatic Diagnosis of Pathological Myopia from Heterogeneous Biomedical Data
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{"title"=>"Automatic Diagnosis of Pathological Myopia from Heterogeneous Biomedical Data", "type"=>"journal", "authors"=>[{"first_name"=>"Zhuo", "last_name"=>"Zhang", "scopus_author_id"=>"8710428200"}, {"first_name"=>"Yanwu", "last_name"=>"Xu", "scopus_author_id"=>"55516961100"}, {"first_name"=>"Jiang", "last_name"=>"Liu", "scopus_author_id"=>"23389932700"}, {"first_name"=>"Damon Wing Kee", "last_name"=>"Wong", "scopus_author_id"=>"56903519800"}, {"first_name"=>"Chee Keong", "last_name"=>"Kwoh", "scopus_author_id"=>"35476211400"}, {"first_name"=>"Seang Mei", "last_name"=>"Saw", "scopus_author_id"=>"7006402006"}, {"first_name"=>"Tien Yin", "last_name"=>"Wong", "scopus_author_id"=>"35231271400"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"isbn"=>"1932-6203", "issn"=>"19326203", "pui"=>"369122591", "sgr"=>"84879040097", "pmid"=>"23799040", "scopus"=>"2-s2.0-84879040097", "doi"=>"10.1371/journal.pone.0065736"}, "id"=>"a353c0c7-ef2f-3cf5-a343-4d0d00f1ce7f", "abstract"=>"Pathological myopia is one of the leading causes of blindness worldwide. The condition is particularly prevalent in Asia. Unlike myopia, pathological myopia is accompanied by degenerative changes in the retina, which if left untreated can lead to irrecoverable vision loss. The accurate diagnosis of pathological myopia will enable timely intervention and facilitate better disease management to slow down the progression of the disease. Current methods of assessment typically consider only one type of data, such as that from retinal imaging. However, different kinds of data, including that of genetic, demographic and clinical information, may contain different and independent information, which can provide different perspectives on the visually observable, genetic or environmental mechanisms for the disease. The combination of these potentially complementary pieces of information can enhance the understanding of the disease, providing a holistic appreciation of the multiple risks factors as well as improving the detection outcomes. In this study, we propose a computer-aided diagnosis framework for Pathological Myopia diagnosis through Biomedical and Image Informatics(PM-BMII). Through the use of multiple kernel learning (MKL) methods, PM-BMII intelligently fuses heterogeneous biomedical information to improve the accuracy of disease diagnosis. Data from 2,258 subjects of a population-based study, in which demographic and clinical information, retinal fundus imaging data and genotyping data were collected, are used to evaluate the proposed framework. The experimental results show that PM-BMII achieves an AUC of 0.888, outperforming the detection results from the use of demographic and clinical information 0.607 (increase 46.3%, p<0.005), genotyping data 0.774 (increase 14.7%, P<0.005) or imaging data 0.852 (increase 4.2%, p=0.19) alone. The accuracy of the results obtained demonstrates the feasibility of using heterogeneous data for improved disease diagnosis through our proposed PM-BMII framework.", "link"=>"http://www.mendeley.com/research/automatic-diagnosis-pathological-myopia-heterogeneous-biomedical-data", "reader_count"=>20, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>2, "Librarian"=>3, "Researcher"=>2, "Student > Ph. D. Student"=>5, "Student > Master"=>4, "Other"=>1, "Student > Bachelor"=>2, "Lecturer"=>1}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>2, "Librarian"=>3, "Researcher"=>2, "Student > Ph. D. Student"=>5, "Student > Master"=>4, "Other"=>1, "Student > Bachelor"=>2, "Lecturer"=>1}, "reader_count_by_subject_area"=>{"Engineering"=>4, "Unspecified"=>1, "Biochemistry, Genetics and Molecular Biology"=>1, "Mathematics"=>1, "Medicine and Dentistry"=>8, "Physics and Astronomy"=>1, "Computer Science"=>4}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>4}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>8}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Computer Science"=>{"Computer Science"=>4}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>1}}, "reader_count_by_country"=>{"Brazil"=>1, "Australia"=>1}, "group_count"=>3}

Scopus | Further Information

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  • {"files"=>["https://ndownloader.figshare.com/files/1088938"], "description"=>"<p>Results show PM-BMII is better able to detect pathological myopia compared to the other individual or combined sources.</p><p>Notes:</p><p> Demographic/clinical data; SNP data, genetic information; low-level direct image features.</p><p> combined demographic/clinical data and SNP data.</p><p> combined demographic/clinical data and image features.</p><p> combined SNP data and image features.</p><p> combined all three data source -(PM-BMII).</p>", "links"=>[], "tags"=>["genetics", "population genetics", "Genetic polymorphism", "Population biology", "algorithms", "Bioengineering", "Biomedical Engineering", "Electrical engineering", "Computer engineering", "signal processing", "data mining", "Genomic signal processing", "Image processing", "Diagnostic medicine", "Non-clinical medicine", "Health informatics", "ophthalmology", "auc", "sources"], "article_id"=>721673, "categories"=>["Information And Computing Sciences", "Medicine", "Engineering", "Biological Sciences"], "users"=>["Zhuo Zhang", "Yanwu Xu", "Jiang Liu", "Damon Wing Kee Wong", "Chee Keong Kwoh", "Seang-Mei Saw", "Tien Yin Wong"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0065736.t004", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Sensitivity_and_AUC_results_for_the_various_sources_combinations_/721673", "title"=>"Sensitivity and AUC results for the various sources combinations.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-06-14 00:27:53"}
  • {"files"=>["https://ndownloader.figshare.com/files/1088939"], "description"=>"<p>List of Demographic & clinical variables used in PM-BMII.</p>", "links"=>[], "tags"=>["genetics", "population genetics", "Genetic polymorphism", "Population biology", "algorithms", "Bioengineering", "Biomedical Engineering", "Electrical engineering", "Computer engineering", "signal processing", "data mining", "Genomic signal processing", "Image processing", "Diagnostic medicine", "Non-clinical medicine", "Health informatics", "ophthalmology", "variables"], "article_id"=>721674, "categories"=>["Information And Computing Sciences", "Medicine", "Engineering", "Biological Sciences"], "users"=>["Zhuo Zhang", "Yanwu Xu", "Jiang Liu", "Damon Wing Kee Wong", "Chee Keong Kwoh", "Seang-Mei Saw", "Tien Yin Wong"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0065736.t003", "stats"=>{"downloads"=>1, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_List_of_Demographic_amp_clinical_variables_used_in_PM_BMII_/721674", "title"=>"List of Demographic & clinical variables used in PM-BMII.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-06-14 00:27:54"}
  • {"files"=>["https://ndownloader.figshare.com/files/1088940"], "description"=>"<p>Pathological Myopia (PM) associated SNPs found in Genome-wide Association Studies (GWAS).</p>", "links"=>[], "tags"=>["genetics", "population genetics", "Genetic polymorphism", "Population biology", "algorithms", "Bioengineering", "Biomedical Engineering", "Electrical engineering", "Computer engineering", "signal processing", "data mining", "Genomic signal processing", "Image processing", "Diagnostic medicine", "Non-clinical medicine", "Health informatics", "ophthalmology", "myopia", "snps", "genome-wide", "studies"], "article_id"=>721675, "categories"=>["Information And Computing Sciences", "Medicine", "Engineering", "Biological Sciences"], "users"=>["Zhuo Zhang", "Yanwu Xu", "Jiang Liu", "Damon Wing Kee Wong", "Chee Keong Kwoh", "Seang-Mei Saw", "Tien Yin Wong"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0065736.t002", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Pathological_Myopia_PM_associated_SNPs_found_in_Genome_wide_Association_Studies_GWAS_/721675", "title"=>"Pathological Myopia (PM) associated SNPs found in Genome-wide Association Studies (GWAS).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-06-14 00:27:55"}
  • {"files"=>["https://ndownloader.figshare.com/files/1088941"], "description"=>"<p>Pathological Myopia (PM) related SNPs found from Genetic Linkage Studies.</p>", "links"=>[], "tags"=>["genetics", "population genetics", "Genetic polymorphism", "Population biology", "algorithms", "Bioengineering", "Biomedical Engineering", "Electrical engineering", "Computer engineering", "signal processing", "data mining", "Genomic signal processing", "Image processing", "Diagnostic medicine", "Non-clinical medicine", "Health informatics", "ophthalmology", "myopia", "snps", "linkage"], "article_id"=>721676, "categories"=>["Information And Computing Sciences", "Medicine", "Engineering", "Biological Sciences"], "users"=>["Zhuo Zhang", "Yanwu Xu", "Jiang Liu", "Damon Wing Kee Wong", "Chee Keong Kwoh", "Seang-Mei Saw", "Tien Yin Wong"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0065736.t001", "stats"=>{"downloads"=>4, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Pathological_Myopia_PM_related_SNPs_found_from_Genetic_Linkage_Studies_/721676", "title"=>"Pathological Myopia (PM) related SNPs found from Genetic Linkage Studies.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-06-14 00:27:56"}

PMC Usage Stats | Further Information

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Relative Metric

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