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Cognitive cardiac rehabilitation using IoT and AI tools- [electronic resource]
![Cognitive cardiac rehabilitation using IoT and AI tools - [electronic resource] / edited b...](/Sponge/Images/bookDefaults/EBbookdefaultsmall.png)
Cognitive cardiac rehabilitation using IoT and AI tools- [electronic resource]
상세정보
- 자료유형
- 전자책(국외)
- 미국국회도서관 청구기호
- RC682
- 자관 청구기호
- 표제와 책임표시사항
- Cognitive cardiac rehabilitation using IoT and AI tools - [electronic resource] / edited by Parijat Bhowmick, Sima Das, Kaushik Mazumdar.
- 출판 정보
- Hershey, PA :Medical Information Science Reference[2023]
- 형태사항
- 1 online resource
- 서지 등 주기
- Includes bibliographical references and index.
- 내용주기
- 완전내용Clinical & Diagnostic Presentation on Myocardial Biology / Susmita Chakrabarty, Monali Mishra, Nimay Giri -- Emotional Behaviour study using AI Tools / Chandrasekaran R, Thamizhvani T R -- Mental Health Predictions through Online Social Media Analytics / Moumita Chatterjee, Subrata Modak, Dhrubasish Sarkar -- Heart Disease Prediction Using Machine Learning Algorithms / Anudeepa Gon, Siddhartha Chatterjee, Sudipta Hazra, Anup Gosh -- A Comprehensive Survey on Rehabilitative Applications of Electroencephalogram in Healthcare / Pritam Chatterjee, Ahona Ghosh, Sriparna Saha.
- 요약 등 주기
- 요약"Cognitive & Cardiac Rehabilitation is a field of study that focuses on the impact on the human mind, heart, behavior, conscious and unconscious motivation, feelings, thoughts, attitudes, emotions, and more. The contribution of the proposed approach can be summarized as follows i. Application of artificial intelligence technique used to extract features from brain and heart signal data and better efficiency compared to the existing methods. ii. Application of artificial intelligence tools to classify disorders and better performance compared to the existing benchmarks. iii. The aim of towards to describe the motivational factors affecting the patients' participation and compliance to cardiac rehabilitation by recognizing and understanding the nature of patients' experiences. iv. Cognitive impairment may influence patient self-management by reducing medication adherence, rendering patients unable to make lifestyle modifications and causing missed healthcare visits"--해제Provided by publisher.
- 주제명부출표목-일반주제명
- 주제명부출표목-일반주제명
- 주제명부출표목-일반주제명
- 주제명부출표목-일반주제명
- 주제명부출표목-일반주제명
- 주제명부출표목-일반주제명
- 주제명부출표목-일반주제명
- 부출표목-개인명
- 부출표목-개인명
- 부출표목-개인명
- 기타형태저록
- Print version Cognitive cardiac rehabilitation using IoT and AI tools
- 전자적 위치 및 접속
- 링크정보보기
MARC
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■007cr
■010 ▼a 2023008829
■020 ▼a9781668475621▼q(ebook)
■020 ▼a1668475626
■020 ▼a9781668475638▼q(electronic bk.)
■020 ▼a1668475634▼q(electronic bk.)
■020 ▼z9781668475614▼q(hardcover)
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■042 ▼apcc
■049 ▼aMAIN
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■06000▼aWG 180
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■090 ▼a전자도서
■24500▼aCognitive cardiac rehabilitation using IoT and AI tools▼h[electronic resource]▼cedited by Parijat Bhowmick, Sima Das, Kaushik Mazumdar.
■263 ▼a2306
■264 1▼aHershey, PA ▼bMedical Information Science Reference▼c[2023]
■300 ▼a1 online resource
■336 ▼atext▼btxt▼2rdacontent
■337 ▼acomputer▼bc▼2rdamedia
■338 ▼aonline resource▼bcr▼2rdacarrier
■504 ▼aIncludes bibliographical references and index.
■5050 ▼aClinical & Diagnostic Presentation on Myocardial Biology / Susmita Chakrabarty, Monali Mishra, Nimay Giri -- Emotional Behaviour study using AI Tools / Chandrasekaran R, Thamizhvani T R -- Mental Health Predictions through Online Social Media Analytics / Moumita Chatterjee, Subrata Modak, Dhrubasish Sarkar -- Heart Disease Prediction Using Machine Learning Algorithms / Anudeepa Gon, Siddhartha Chatterjee, Sudipta Hazra, Anup Gosh -- A Comprehensive Survey on Rehabilitative Applications of Electroencephalogram in Healthcare / Pritam Chatterjee, Ahona Ghosh, Sriparna Saha.
■520 ▼a"Cognitive & Cardiac Rehabilitation is a field of study that focuses on the impact on the human mind, heart, behavior, conscious and unconscious motivation, feelings, thoughts, attitudes, emotions, and more. The contribution of the proposed approach can be summarized as follows i. Application of artificial intelligence technique used to extract features from brain and heart signal data and better efficiency compared to the existing methods. ii. Application of artificial intelligence tools to classify disorders and better performance compared to the existing benchmarks. iii. The aim of towards to describe the motivational factors affecting the patients' participation and compliance to cardiac rehabilitation by recognizing and understanding the nature of patients' experiences. iv. Cognitive impairment may influence patient self-management by reducing medication adherence, rendering patients unable to make lifestyle modifications and causing missed healthcare visits"--▼cProvided by publisher.
■588 ▼aDescription based on print version record and CIP data provided by publisher; resource not viewed.
■590 ▼aAdded to collection customer.56279.3
■650 0▼aPatient compliance.
■65012▼aCardiac Rehabilitation
■65022▼aCognitive Training
■65022▼aPatient Acceptance of Health Care
■65022▼aMedical Informatics Applications
■650 6▼aPatients▼xCoopération.
■650 6▼aMédecine▼xInformatique.
■7001 ▼aBhowmick, Parijat▼d1986-▼eeditor.
■7001 ▼aDas, Sima▼d1992-▼eeditor.
■7001 ▼aMazumdar, Kaushik▼d1987-▼eeditor.
■77608▼iPrint version▼tCognitive cardiac rehabilitation using IoT and AI tools▼dHershey, PA : Medical Information Science Reference, [2023]▼z9781668475614▼w(DLC) 2023008828
■85640▼3EBSCOhost▼uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3639524
■938 ▼aEBSCOhost▼bEBSC▼n3639524
■994 ▼a92▼bN$T
