2012
DOI: 10.1109/titb.2012.2216057
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Guest Editorial Cardiovascular Health Informatics: Risk Screening and Intervention

Abstract: Despite enormous efforts to prevent cardiovascular disease (CVD) in the past, it remains the leading cause of death in most countries worldwide. Around two-thirds of these deaths are due to acute events, which frequently occur suddenly and are often fatal before medical care can be given. New strategies for screening and early intervening CVD, in addition to the conventional methods, are therefore needed in order to provide personalized and pervasive healthcare. In this special issue, selected emerging technol… Show more

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Cited by 7 publications
(4 citation statements)
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“…Further, advances in wearable technology, genetics and electronic health records could soon provide dramatic advances in risk prediction unavailable in existing cohorts. 24,25 …”
Section: Discussionmentioning
confidence: 99%
“…Further, advances in wearable technology, genetics and electronic health records could soon provide dramatic advances in risk prediction unavailable in existing cohorts. 24,25 …”
Section: Discussionmentioning
confidence: 99%
“…Health informatics, the processing, storage, and retrieval of health data has changed the detection, diagnosis and treatment of diseases [89]. Like many explosive fields though success has bred challenges, especially in cardiovascular informatics [89].…”
Section: Cardiovascular Informatics and Machine Learningmentioning
confidence: 99%
“…Health informatics, the processing, storage, and retrieval of health data has changed the detection, diagnosis and treatment of diseases [89]. Like many explosive fields though success has bred challenges, especially in cardiovascular informatics [89]. The plethora of computer-aided and computational methods developed over the last two decade have increased significantly the amount of data produced and stored within hospital databases and research institutes [90] and yet not access to these images or signals.…”
Section: Cardiovascular Informatics and Machine Learningmentioning
confidence: 99%
“…Cardiovascular disease (CVD) represents the main cause of death worldwide and thus research still focuses on potential genetic and physiological biomarkers, imaging techniques, healthcare technologies and indices for both CVD prevention and treatment as well as personalized prediction models5. There are several CVD risk factors, including hypertension, dyslipidemia, diabetes mellitus (DM), smoking and obesity, as well as platelet dysfunction.…”
mentioning
confidence: 99%