| LDR | | 03719cmm u22005778i 4500 |
| 001 | | 000000327778 |
| 003 | | OCoLC |
| 005 | | 20240307140534 |
| 006 | | m d |
| 007 | | cr ||||||||||| |
| 008 | | 230224s2023 pau ob 001 0 eng |
| 010 | |
▼a 2023008829 |
| 020 | |
▼a 9781668475621
▼q (ebook) |
| 020 | |
▼a 1668475626 |
| 020 | |
▼a 9781668475638
▼q (electronic bk.) |
| 020 | |
▼a 1668475634
▼q (electronic bk.) |
| 020 | |
▼z 9781668475614
▼q (hardcover) |
| 035 | |
▼a 3639524
▼b (N$T) |
| 035 | |
▼a (OCoLC)1376193978 |
| 040 | |
▼a DLC
▼b eng
▼e rda
▼c DLC
▼d OCLCO
▼d N$T
▼d 248032 |
| 042 | |
▼a pcc |
| 049 | |
▼a MAIN |
| 050 | 00 |
▼a RC682 |
| 060 | 00 |
▼a WG 180 |
| 082 | 00 |
▼a 616.1/203
▼2 23/eng/20230412 |
| 245 | 00 |
▼a Cognitive cardiac rehabilitation using IoT and AI tools /
▼c edited by Parijat Bhowmick, Sima Das, Kaushik Mazumdar. |
| 263 | |
▼a 2306 |
| 264 | 1 |
▼a Hershey, PA :
▼b Medical Information Science Reference,
▼c [2023] |
| 300 | |
▼a 1 online resource |
| 336 | |
▼a text
▼b txt
▼2 rdacontent |
| 337 | |
▼a computer
▼b c
▼2 rdamedia |
| 338 | |
▼a online resource
▼b cr
▼2 rdacarrier |
| 504 | |
▼a Includes bibliographical references and index. |
| 505 | 0 |
▼a Clinical & 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"--
▼c Provided by publisher. |
| 588 | |
▼a Description based on print version record and CIP data provided by publisher; resource not viewed. |
| 590 | |
▼a Added to collection customer.56279.3 |
| 650 | 0 |
▼a Patient compliance. |
| 650 | 12 |
▼a Cardiac Rehabilitation |
| 650 | 22 |
▼a Cognitive Training |
| 650 | 22 |
▼a Patient Acceptance of Health Care |
| 650 | 22 |
▼a Medical Informatics Applications |
| 650 | 6 |
▼a Patients
▼x Coope?ration. |
| 650 | 6 |
▼a Me?decine
▼x Informatique. |
| 700 | 1 |
▼a Bhowmick, Parijat,
▼d 1986-,
▼e editor. |
| 700 | 1 |
▼a Das, Sima,
▼d 1992-,
▼e editor. |
| 700 | 1 |
▼a Mazumdar, Kaushik,
▼d 1987-,
▼e editor. |
| 776 | 08 |
▼i Print version:
▼t Cognitive cardiac rehabilitation using IoT and AI tools
▼d Hershey, PA : Medical Information Science Reference, [2023]
▼z 9781668475614
▼w (DLC) 2023008828 |
| 856 | 40 |
▼3 EBSCOhost
▼u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3639524 |
| 938 | |
▼a EBSCOhost
▼b EBSC
▼n 3639524 |
| 990 | |
▼a 관리자 |
| 994 | |
▼a 92
▼b N$T |