Health care today is known to suffer from siloed and fragmented data, delayed clinical communications, and disparate workflow tools due to the lack of interoperability caused by vendor-locked health care systems, lack of trust among data holders, and security/privacy concerns regarding data sharing. The health information industry is ready for big leaps and bounds in terms of growth and advancement.This book is an attempt to unveil the hidden potential of the enormous amount of health information and technology. Throughout this book, we attempt to combine numerous compelling views, guidelines, and frameworks to enable personalized health care service options through the successful application of deep learning frameworks. The progress of the health-care sector will be incremental as it learns from associations between data over time through the application of suitable AI, deep net frameworks, and patterns. The major challenge health care is facing is the effective and accurate learning of unstructured clinical data through the application of precise algorithms. Incorrect input data leading to erroneous outputs with false positives is intolerable in healthcare as patients' lives are at stake. This book is written with the intent to uncover the stakes and possibilities involved in realizing personalized health-care services through efficient and effective deep learning algorithms.The specific focus of this book will be on the application of deep learning in any area of health care, including clinical trials, telemedicine, health records management, etc.

N� de ref. del art�culo LU-9788770223898

Contactar al vendedor

Denunciar este art�culo

Detalles bibliogr�ficos

T�tulo: Deep Learning for Healthcare Decision Making
Editor: River Publishers, DK
Fecha de publicaci�n: 2023
Idioma: Ingl�s
ISBN 10: 8770223890
ISBN 13: 9788770223898
Encuadernaci�n: Hardback
Estado: New
Peso: 730 gramos

Acerca de

Sinopsis

This book is an attempt to unveil the hidden potential of the enormous amount of health information and technology. Throughout this book, we attempt to combine numerous compelling views, guidelines, and frameworks to enable personalized health care service options through the successful application of deep learning frameworks. The progress of the health-care sector will be incremental as it learns from associations between data over time through the application of suitable AI, deep net frameworks, and patterns. The major challenge health care is facing is the effective and accurate learning of unstructured clinical data through the application of precise algorithms. Incorrect input data leading to erroneous outputs with false positives is intolerable in healthcare as patients' lives are at stake. This book is written with the intent to uncover the stakes and possibilities involved in realizing personalized health-care services through efficient and effective deep learning algorithms.

The specific focus of this book will be on the application of deep learning in any area of health care, including clinical trials, telemedicine, health records management, etc.

Acerca del autor

Dr. Vishal Jain is presently working as an Associate Professor at Sharda University, Greater Noida, Uttar Pradesh. Previously, he worked for several years as an Associate Professor at Bharati Vidyapeeth Institute of Computer Applications and Management (BVICAM), New Delhi. He has more than 14 years of experience in academics. He obtained a PhD (CSE), MTech (CSE), MBA (HR), MCA, MCP, and CCNA. He has more than 370 research citation indices with Google Scholar (h-index score 9 and i10 index 9). He has published more than 70 research papers in reputed conferences and journals, including Web of Science and Scopus. He has authored and edited more than 10 books for various reputed publishers, including Springer, Apple Academic Press, CRC, Taylor and Francis Group, Scrivener, Wiley, Emerald, and IGI-Global. His research areas include information retrieval, semantic web, ontology engineering, data mining, ad hoc networks, and sensor networks. He received a Young Active Member Award for the year 2012–13 from the Computer Society of India, Best Faculty Award for the year 2017, and Best Researcher Award for the year 2019 from BVICAM, New Delhi.

Jyotir Moy Chatterjee is currently working as an Assistant Professor in the Department of Information Technology at Lord Buddha Education Foundation (Asia Pacific University of Technology & Innovation), Kathmandu, Nepal. Previously, he worked as an Assistant Professor in the Department of Computer Science Engineering at G. D. Rungta College of Engineering & Technology (Chhattisgarh Swami Vivekananda Technical University), Bhilai, India. He received an MTech in Computer Science and Engineering from Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha in 2016, and a BTech in Computer Science and Engineering from Dr. MGR Educational & Research Institute, Maduravoyal, Chennai in 2013. His research interest includes Machine Learning and the Internet of Things. He is also the Young Ambassador of the Scientific Research Group of Egypt (SRGE) for 2020–2021. He has published 21 SCIE/Scopus indexed international journals papers, 3 international Scopus indexed conference papers, 3 authored books, 14 edited books, 2 theses converted into books, 16 book chapters, and 1 patent. He is serving as an editorial board member of various reputed journals of IGI Global and serving as a reviewer for various reputed journals & international conferences of Elsevier, Springer, and IEEE.

Ishaani Priyadarshini is working in the Faculty School of Information, UC Berkeley, California and also a PhD Candidate at the University of Delaware, USA. She obtained her Master's Degree in Cybersecurity from the University of Delaware. Before that, she completed her Bachelor's degree in Computer Science Engineering and a Master’s degree in Information Security from Kalinga Institute of Industrial Technology, India. She has authored several book chapters for reputed publishers and is also an authored several publications for SCIE indexed journals. As a certified reviewer, she conducts peer review research papers for prestigious IEEE, Elsevier, and Springer journals, and is a part of the Editorial Board for International Journal of Information Security and Privacy (IJISP). Her areas of research include cybersecurity, artificial intelligence, and HCI.

Prof. Dr. Fadi Al-Turjman received his PhD in computer science from Queen’s University, Canada, in 2011. He is a full professor, Associate Dean for Research, Head of the Department of Artificial Intelligence Engineering research, and Center Director at Near East University, Nicosia, Cyprus. Professor Al-Turjman is a leading authority in the areas of smart/intelligent IoT systems, wireless, and mobile network architectures, protocols, deployments, and performance evaluation in Artificial Intelligence of Things (AIoT). His publication history spans over 350 SCI/E publications, in addition to numerous keynotes and plenary talks at flagship venues. He has authored and edited more than 40 books about cognition, security, and wireless sensor network deployments in smart IoT environments, which have been published by well-reputed publishers such as Taylor and Francis, Elsevier, IET, and Springer. He has received much recognition and several best paper awards at top international conferences. He also received the prestigious Best Research Paper Award from Elsevier Computer Communications Journal for the period 2015–2018, in addition to the Top Researcher Award for 2018 at Antalya Bilim University, Turkey. Professor Al-Turjman has led several international symposia and workshops in flagship communication society conferences. Currently, he serves as book series editor and the lead guest/associate editor for several top tier journals, including the IEEE Communications Surveys and Tutorials (IF 23.9) and the Elsevier Sustainable Cities and Society (IF 5.7), in addition to organizing international conferences and symposiums on the most up to date research topics in AI and IoT.

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

Descripci�n de la librer�a

Ver la p�gina web de la librer�a

Informaci�n empresarial del vendedor

RAREWAVES.COM LIMITED
Elsley Court, 20-22 Great Titchfield Street, London, W1W 8BE, United Kingdom

Condiciones de venta y env�o

Condiciones de venta

Derecho al desistimiento

Si es un consumidor, puede rescindir el contrato de acuerdo con lo siguiente. Por consumidor se entiende cualquier persona f�sica que act�e con fines ajenos a su actividad comercial, empresarial, oficio o profesi�n.

Informaci�n sobre el derecho de desistimiento

Derecho legal de desistimiento

Tiene derecho a rescindir este contrato en un plazo de 14 d�as sin dar ning�n motivo.

El periodo de desistimiento vencer� a los 14 d�as desde que usted, o un tercero que no sea el transportista e indicado por usted, adquiera la posesi�n f�sica del �ltimo bien o del �ltimo lote o pieza.

Para ejercer el derecho de desistimiento, complete de forma electr�nica y env�e una declaraci�n clara en nuestro sitio web, desde "Mis compras" en "Mi cuenta". Le enviaremos sin demora un acuse de recibo de dicho desistimiento a trav�s de un soporte duradero (por ejemplo, por correo electr�nico).

Para cumplir con el plazo de desistimiento, basta con que env�e su comunicaci�n relativa al ejercicio del derecho de desistimiento antes de que venza el periodo de desistimiento.

Efectos del desistimiento

Si rescinde este contrato, le reembolsaremos todos los pagos que hayamos recibido de usted, incluidos los gastos de env�o (excepto los gastos adicionales que surjan si elige un tipo de env�o que no sea el tipo de env�o est�ndar m�s econ�mico que ofrecemos).

Podemos hacer una deducci�n del reembolso por la p�rdida de valor de cualquier bien suministrado, si la p�rdida es el resultado de una manipulaci�n innecesaria por su parte.

Efectuaremos el reembolso sin demoras indebidas y, a m�s tardar, 14 d�as despu�s de que se nos informe de su decisi�n de rescindir este contrato.

Efectuaremos el reembolso utilizando el mismo medio de pago que utiliz� para la transacci�n inicial, a menos que haya acordado expresamente lo contrario; en cualquier caso, no incurrir� en ning�n cargo como resultado de dicho reembolso.

Podremos retener el reembolso hasta que hayamos recibido los bienes o hasta que nos haya presentado una prueba de que los ha devuelto, lo que ocurra primero.

Deber� devolver los bienes o entregarlos a Rarewaves.com USA, Unit 144 The Lightbox, 111 Power Road, W4 5PY, London, London, United Kingdom, sin demoras indebidas y, en cualquier caso, en un plazo m�ximo de 14 d�as a partir del d�a en que nos comunique su desistimiento del presente contrato. El plazo se cumple si devuelve la mercanc�a antes de que venza el periodo de 14 d�as. Tendr� que asumir los gastos directos de devoluci�n de los bienes. Usted solo es responsable de la disminuci�n del valor de los bienes como resultado de una manipulaci�n distinta a la necesaria para establecer la naturaleza, las caracter�sticas y el funcionamiento de los bienes.

Excepciones al derecho de desistimiento

El derecho de desistimiento no se aplica a lo siguiente:

La entrega de peri�dicos, diarios o revistas, con la excepci�n de los contratos de suscripci�n; y
El suministro de contenido digital que no se proporcione en un soporte tangible (por ejemplo, en un CD o DVD) si, al hacer el pedido, acept� que pod�amos empezar a entregarlo y que no podr�a desistir una vez iniciada la entrega.

Condiciones de env�o

Please note that we do not offer Priority shipping to any country.

We currently do not ship to the below countries:

Russia
Belarus
Ukraine

Please do not attempt to place orders with any of these countries as a ship to address - they will be cancelled.

Tarifas de env�o de Reino Unido a Estados Unidos de America

Tarifas de env�o de Reino Unido a Estados Unidos de America
Cantidad del pedido	De 9 a 14 d�as h�biles	De 9 a 14 d�as h�biles
Primer art�culo	EUR 0.00	EUR 0.00

Los plazos de entrega los establecen los vendedores y var�an seg�n el transportista y la ubicaci�n. Los pedidos que pasan por la aduana pueden sufrir retrasos y los compradores son responsables de los aranceles o tarifas asociadas. Los vendedores pueden ponerse en contacto con usted en relaci�n con cargos adicionales para cubrir cualquier aumento en los costes de env�o de los art�culos.