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Material Type: Conference Proceeding
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Temperature Changes and Ischemic Heart Disease Mortality: Global Trends, 1990–2019Environmental Sciences Proceedings, 2022, Vol.24 (1), p.4 [Peer Reviewed Journal]EISSN: 2673-4931 ;DOI: 10.3390/ECERPH-4-13106Full text available |
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2 |
Material Type: Conference Proceeding
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Heart Disease Stages Prediction using Machine LearningThe Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings, 2022Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022 ;DOI: 10.1109/BigDIA56350.2022.9874198Digital Resources/Online E-Resources |
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3 |
Material Type: Conference Proceeding
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Interactive Whole-Heart Segmentation in Congenital Heart DiseaseMedical Image Computing and Computer-Assisted Intervention – MICCAI 2015, 2015, p.80-88 [Peer Reviewed Journal]Springer International Publishing Switzerland 2015 ;ISSN: 0302-9743 ;ISBN: 9783319245737 ;ISBN: 3319245732 ;EISSN: 1611-3349 ;EISBN: 9783319245744 ;EISBN: 3319245740 ;DOI: 10.1007/978-3-319-24574-4_10Digital Resources/Online E-Resources |
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4 |
Material Type: Conference Proceeding
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Assessment of Machine Learning Classifiers for Heart Diseases DiscoveryInformation Systems, p.441-452Springer Nature Switzerland AG 2022 ;ISSN: 1865-1348 ;ISBN: 9783030959463 ;ISBN: 3030959465 ;EISSN: 1865-1356 ;EISBN: 9783030959470 ;EISBN: 3030959473 ;DOI: 10.1007/978-3-030-95947-0_31Digital Resources/Online E-Resources |
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5 |
Material Type: Conference Proceeding
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Assessing Encoder-Decoder Architectures for Robust Coronary Artery Segmentationopen access https://purl.org/coar/access_right/c_abf2 CC-BY https://creativecommons.org/licenses/by/4.0/ free_to_read © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Digital Resources/Online E-Resources |
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6 |
Material Type: Conference Proceeding
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FlashViT: A Flash Vision Transformer with Large-Scale Token Merging for Congenital Heart Disease DetectionPattern Recognition and Computer Vision, p.136-148 [Peer Reviewed Journal]The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024 ;ISSN: 0302-9743 ;ISBN: 9819985579 ;ISBN: 9789819985579 ;EISSN: 1611-3349 ;EISBN: 9819985587 ;EISBN: 9789819985586 ;DOI: 10.1007/978-981-99-8558-6_12Digital Resources/Online E-Resources |
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7 |
Material Type: Conference Proceeding
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Prediction of Heart Diseases Using Majority Voting Ensemble MethodCMBEBIH 2019, p.491-498Springer Nature Switzerland AG 2020 ;ISSN: 1680-0737 ;ISBN: 3030179702 ;ISBN: 9783030179700 ;EISSN: 1433-9277 ;EISBN: 9783030179717 ;EISBN: 3030179710 ;DOI: 10.1007/978-3-030-17971-7_73Digital Resources/Online E-Resources |
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8 |
Material Type: Conference Proceeding
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Kernel Discriminative Classifiers in Risk Prediction of Coronary Heart DiseaseAdvances in Swarm Intelligence, p.201-208 [Peer Reviewed Journal]Springer Nature Switzerland AG 2022 ;ISSN: 0302-9743 ;ISBN: 9783031097256 ;ISBN: 3031097254 ;EISSN: 1611-3349 ;EISBN: 9783031097263 ;EISBN: 3031097262 ;DOI: 10.1007/978-3-031-09726-3_18Digital Resources/Online E-Resources |
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9 |
Material Type: Conference Proceeding
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Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource SettingsMedical Image Computing and Computer Assisted Intervention – MICCAI 2022, p.602-612 [Peer Reviewed Journal]The Author(s), under exclusive license to Springer Nature Switzerland AG 2022 ;ISSN: 0302-9743 ;ISBN: 303116430X ;ISBN: 9783031164309 ;EISSN: 1611-3349 ;EISBN: 3031164318 ;EISBN: 9783031164316 ;DOI: 10.1007/978-3-031-16431-6_57Digital Resources/Online E-Resources |
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10 |
Material Type: Conference Proceeding
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Heart Disease Classification Using Machine Learning ModelsInformatics and Intelligent Applications, p.35-49 [Peer Reviewed Journal]Springer Nature Switzerland AG 2022 ;ISSN: 1865-0929 ;ISBN: 3030956296 ;ISBN: 9783030956295 ;EISSN: 1865-0937 ;EISBN: 9783030956301 ;EISBN: 303095630X ;DOI: 10.1007/978-3-030-95630-1_3Digital Resources/Online E-Resources |
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11 |
Material Type: Conference Proceeding
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Research of Heart Disease Prediction Based on Machine LearningThe Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings, 2022Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022 ;DOI: 10.1109/AEMCSE55572.2022.00071Digital Resources/Online E-Resources |
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12 |
Material Type: Conference Proceeding
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Improving Heart Disease Prediction Using Feature Selection Through Genetic AlgorithmAdvanced Network Technologies and Intelligent Computing, p.765-776 [Peer Reviewed Journal]Springer Nature Switzerland AG 2022 ;ISSN: 1865-0929 ;ISBN: 3030960390 ;ISBN: 9783030960391 ;EISSN: 1865-0937 ;EISBN: 3030960404 ;EISBN: 9783030960407 ;DOI: 10.1007/978-3-030-96040-7_57Digital Resources/Online E-Resources |
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13 |
Material Type: Conference Proceeding
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Whole Heart and Great Vessel Segmentation in Congenital Heart Disease Using Deep Neural Networks and Graph MatchingMedical Image Computing and Computer Assisted Intervention – MICCAI 2019, p.477-485 [Peer Reviewed Journal]Springer Nature Switzerland AG 2019 ;ISSN: 0302-9743 ;ISBN: 9783030322441 ;ISBN: 3030322440 ;EISSN: 1611-3349 ;EISBN: 9783030322458 ;EISBN: 3030322459 ;DOI: 10.1007/978-3-030-32245-8_53Digital Resources/Online E-Resources |
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14 |
Material Type: Conference Proceeding
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Heart Disease Prediction using Machine Learning and Deep Learning AlgorithmsThe Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings, 2022Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022 ;DOI: 10.1109/CISES54857.2022.9844406Digital Resources/Online E-Resources |
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15 |
Material Type: Conference Proceeding
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Feature Selection Optimization of Risk Factors for Coronary Heart DiseaseComputational Science and Its Applications – ICCSA 2021, p.413-428 [Peer Reviewed Journal]Springer Nature Switzerland AG 2021 ;ISSN: 0302-9743 ;ISBN: 303086975X ;ISBN: 9783030869755 ;EISSN: 1611-3349 ;EISBN: 3030869768 ;EISBN: 9783030869762 ;DOI: 10.1007/978-3-030-86976-2_28Digital Resources/Online E-Resources |
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16 |
Material Type: Conference Proceeding
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Heart Disease Diagnosis Using Diverse Neural Network CategoriesEmerging Trends in Intelligent Computing and Informatics, p.373-385Springer Nature Switzerland AG 2020 ;ISSN: 2194-5357 ;ISBN: 303033581X ;ISBN: 9783030335816 ;EISSN: 2194-5365 ;EISBN: 9783030335823 ;EISBN: 3030335828 ;DOI: 10.1007/978-3-030-33582-3_36Digital Resources/Online E-Resources |
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17 |
Material Type: Conference Proceeding
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Intelligent Phonocardiography for Screening Ventricular Septal Defect Using Time Growing Neural NetworkINFORMATICS EMPOWERS HEALTHCARE TRANSFORMATION, 2017, Vol.238, p.108 [Peer Reviewed Journal]ISSN: 0926-9630 ;ISBN: 9781614997818 ;ISBN: 1614997810 ;ISBN: 1614997802 ;ISBN: 9781614997801 ;DOI: 10.3233/978-1-61499-781-8-108 ;PMID: 28679899Full text available |
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18 |
Material Type: Conference Proceeding
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Efficient machine learning based detection of heart diseaseThe Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings, 2019, p.1Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019 ;DOI: 10.1109/HealthCom46333.2019.9009429Digital Resources/Online E-Resources |
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19 |
Material Type: Conference Proceeding
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Clinical problem-solving. A tight predicamentThe New England journal of medicine, 2014, Vol.371 (10), p.953-959 [Peer Reviewed Journal]EISSN: 1533-4406 ;DOI: 10.1056/NEJMcps1304030 ;PMID: 25184868Full text available |
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20 |
Material Type: Conference Proceeding
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Decision Support Systems in Cardiology: A Systematic ReviewStudies in health technology and informatics, 2017, Vol.237, p.209 [Peer Reviewed Journal]ISSN: 0926-9630 ;DOI: 10.3233/978-1-61499-761-0-209 ;PMID: 28479570Digital Resources/Online E-Resources |