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Results 1 - 20 of 1,151  for All Library Resources

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1
Temperature Changes and Ischemic Heart Disease Mortality: Global Trends, 1990–2019
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Temperature Changes and Ischemic Heart Disease Mortality: Global Trends, 1990–2019

Environmental Sciences Proceedings, 2022, Vol.24 (1), p.4 [Peer Reviewed Journal]

EISSN: 2673-4931 ;DOI: 10.3390/ECERPH-4-13106

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2
Wearable Intelligent System for the Diagnosis of Cardiac Diseases Working in Real Time and with Low Energy Cost
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Wearable Intelligent System for the Diagnosis of Cardiac Diseases Working in Real Time and with Low Energy Cost

Proceedings, 2018, Vol.2 (19), p.513 [Peer Reviewed Journal]

EISSN: 2504-3900 ;DOI: 10.3390/proceedings2190513

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3
Assessing Encoder-Decoder Architectures for Robust Coronary Artery Segmentation
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Assessing Encoder-Decoder Architectures for Robust Coronary Artery Segmentation

open 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.

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4
FlashViT: A Flash Vision Transformer with Large-Scale Token Merging for Congenital Heart Disease Detection
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FlashViT: A Flash Vision Transformer with Large-Scale Token Merging for Congenital Heart Disease Detection

Pattern 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_12

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5
Prediction of Heart Diseases Using Majority Voting Ensemble Method
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Prediction of Heart Diseases Using Majority Voting Ensemble Method

CMBEBIH 2019, p.491-498

Springer 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_73

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6
Kernel Discriminative Classifiers in Risk Prediction of Coronary Heart Disease
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Kernel Discriminative Classifiers in Risk Prediction of Coronary Heart Disease

Advances 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_18

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7
Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource Settings
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Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource Settings

Medical 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_57

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8
Heart Disease Classification Using Machine Learning Models
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Heart Disease Classification Using Machine Learning Models

Informatics 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_3

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9
Improving Heart Disease Prediction Using Feature Selection Through Genetic Algorithm
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Improving Heart Disease Prediction Using Feature Selection Through Genetic Algorithm

Advanced 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_57

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10
Whole Heart and Great Vessel Segmentation in Congenital Heart Disease Using Deep Neural Networks and Graph Matching
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Whole Heart and Great Vessel Segmentation in Congenital Heart Disease Using Deep Neural Networks and Graph Matching

Medical 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_53

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11
Heart Disease Diagnosis Using Diverse Neural Network Categories
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Heart Disease Diagnosis Using Diverse Neural Network Categories

Emerging Trends in Intelligent Computing and Informatics, p.373-385

Springer 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_36

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12
Intelligent Phonocardiography for Screening Ventricular Septal Defect Using Time Growing Neural Network
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Intelligent Phonocardiography for Screening Ventricular Septal Defect Using Time Growing Neural Network

INFORMATICS 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: 28679899

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13
Clinical problem-solving. A tight predicament
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Clinical problem-solving. A tight predicament

The New England journal of medicine, 2014, Vol.371 (10), p.953-959 [Peer Reviewed Journal]

EISSN: 1533-4406 ;DOI: 10.1056/NEJMcps1304030 ;PMID: 25184868

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14
Risk Assessment for Primary Coronary Heart Disease Event Using Dynamic Bayesian Networks
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Risk Assessment for Primary Coronary Heart Disease Event Using Dynamic Bayesian Networks

Artificial Intelligence in Medicine, p.161-165 [Peer Reviewed Journal]

Springer International Publishing Switzerland 2015 ;ISSN: 0302-9743 ;ISBN: 9783319195506 ;ISBN: 3319195506 ;EISSN: 1611-3349 ;EISBN: 9783319195513 ;EISBN: 3319195514 ;DOI: 10.1007/978-3-319-19551-3_20

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15
Decision Support Systems in Cardiology: A Systematic Review
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Decision Support Systems in Cardiology: A Systematic Review

Studies 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: 28479570

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16
Heart or heart and lung transplantation for patients with congenital heart disease in England: outcomes and future predictions
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Heart or heart and lung transplantation for patients with congenital heart disease in England: outcomes and future predictions

2016 by American Heart Association, Inc. ;ISSN: 0009-7322 ;EISSN: 1524-4539

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17
Adolescents with Congenital Heart Disease and their parents - transfer to adult care
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Adolescents with Congenital Heart Disease and their parents - transfer to adult care

Cardiology in the Young. Supplement S1. 49th Annual Meeting of the Association for European Paediatric and Congenital Cardiology 20-23 May 2015, 2015, Vol.25 [Peer Reviewed Journal]

ISSN: 1047-9511 ;EISSN: 1467-1107 ;DOI: 10.1017/S1047951115000529

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18
HeartHealth: A Persuasive Mobile App for Mitigating the Risk of Ischemic Heart Disease
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HeartHealth: A Persuasive Mobile App for Mitigating the Risk of Ischemic Heart Disease

Persuasive Technology. Designing for Future Change, p.126-138 [Peer Reviewed Journal]

Springer Nature Switzerland AG 2020 ;ISSN: 0302-9743 ;ISBN: 9783030457112 ;ISBN: 3030457117 ;EISSN: 1611-3349 ;EISBN: 3030457125 ;EISBN: 9783030457129 ;DOI: 10.1007/978-3-030-45712-9_10

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19
Growing a Random Forest with Fuzzy Spatial Features for Fully Automatic Artery-Specific Coronary Calcium Scoring
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Growing a Random Forest with Fuzzy Spatial Features for Fully Automatic Artery-Specific Coronary Calcium Scoring

Machine Learning in Medical Imaging, 2017, p.27-35 [Peer Reviewed Journal]

Springer International Publishing AG 2017 ;ISSN: 0302-9743 ;ISBN: 9783319673882 ;ISBN: 3319673882 ;EISSN: 1611-3349 ;EISBN: 3319673890 ;EISBN: 9783319673899 ;DOI: 10.1007/978-3-319-67389-9_4

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20
Dual Network Generative Adversarial Networks for Pediatric Echocardiography Segmentation
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Dual Network Generative Adversarial Networks for Pediatric Echocardiography Segmentation

Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, p.113-122 [Peer Reviewed Journal]

Springer Nature Switzerland AG 2019 ;ISSN: 0302-9743 ;ISBN: 9783030328740 ;ISBN: 3030328740 ;EISSN: 1611-3349 ;EISBN: 9783030328757 ;EISBN: 3030328759 ;DOI: 10.1007/978-3-030-32875-7_13

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