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Overview and Introduction [chapter]

2005 Meme Media and Meme Market Architectures  
In his 1974 article which concluded the Library Trends issue on Health Sciences Libraries, he identified three important themes: (1) changes in education for the health sciences professions, (2) increased  ...  NEARLYTWO DECADES HAVE PASSED since the publication of the last issue of Library Trends devoted to health sciences libraries. During those decades, many far-reaching changes have occurred.  ...  The authors were selected for their broad experience as health sciences librarians, for their vision, and for their intelligent and thoughtful observation.  ... 
doi:10.1002/047172307x.ch1 fatcat:rz6hlbmfyjam5emgn3kvhkeosy

The Personal Health Library: A Single Point of Secure Access to Patient Digital Health Information

Nariman Ammar, James E Bailey, Robert L Davis, Arash Shaban-Nejad
2020 Studies in Health Technology and Informatics  
Personal Health Libraries (PHLs) provide a single point of secure access to patients' digital health information that can help empower patients to make better-informed decisions about their health care  ...  This paper reports a work-in-progress on leveraging tools and methods from artificial intelligence and knowledge representation to build a private, decentralized PHL that supports interoperability and,  ...  For instance, an intervention for self-management of chronic diseases (e.g. diabetes) focused on promoting health behavior change to improve clinical outcomes is an example of a preventive intervention  ... 
doi:10.3233/shti200200 pmid:32570424 fatcat:jgmzt3mh4vgg7ns3q7hylvuvve

The Personal Health Library (PHL): Enabling an mHealth Recommender System for Self-Management of Diabetes among Underserved Population with Multiple Chronic Conditions (Preprint)

Nariman Ammar, James E Bailey, Robert L Davis, Arash Shaban-Nejad
2020 JMIR Formative Research  
Personal health libraries (PHLs) provide a single point of secure access to patients' digital health data and enable the integration of knowledge stored in their digital health profiles with other sources  ...  recommendations for improving self-care behaviors in diabetic adults.  ...  Applications can process the knowledge stored in the library to generate intelligent personalized interventions that can help improve patients' health state.  ... 
doi:10.2196/24738 pmid:33724197 fatcat:zdkjkq6ldng4hekdgvvqyteguu

Internet of Things Based Intelligent Techniques in Workable Computing: An Overview

Jiayi Guo, Shah Nazir, Zhongguo Yang
2021 Scientific Programming  
The study has considered the search process in the most popular libraries and presented an analysis of the research work done so far.  ...  Various issues of the IoT such as monitoring the data, stealing the data, privacy of the data, tracking of the data, and many other aspects of the data are becoming challenges for the modern-day industry  ...  Technologies of Intelligent IoT Researchers have devised various approaches in order to tackle diverse issues of modern-day technology. ese approaches are working as an intelligent tool of IoT for sustaining  ... 
doi:10.1155/2021/6805104 fatcat:o7vhob2ihneuffg5qrxhjv3ace

Future programs at the National Library of Medicine

D A Lindberg, H W Riecken
1986 Bulletin of the Medical Library Association  
The formal, long-range plan now being prepared for the library by panels of expert advisers will be a guide for future programs and goals.  ...  also important influences on the direction of the library.  ...  CONCLUSION The National Library of Medicine is confident that it will be better off with an explicit plan for the future.  ... 
pmid:3779170 pmcid:PMC406287 fatcat:ehtw7kchyrbv7cisrx7wcir3ki

Emotional Wellbeing Assessment for Elderly Using Multi-Language Robot Interface

Dr. Kottilingam
2020 Journal of Information Technology and Digital World  
The proposed system would be compatible in any room as it is carried out on an embedded platform designed for the edge computing.  ...  There is always necessity prevailing for the exposed platforms under the vigilance of experts, incorporated with the capability of developing and gathering enquiries followed up by the analysis and remedial  ...  diagnose the health care enquires gathered based on the clinical outcome of a patient.  ... 
doi:10.36548/jitdw.2020.1.001 fatcat:lxs26i6emzbapjhfgtefl5v53i

Realizing the Promise of Web 2.0: Engaging Community Intelligence

Bradford W. Hesse, Mary O'Connell, Erik M. Augustson, Wen-Ying Sylvia Chou, Abdul R. Shaikh, Lila J. Finney Rutten
2011 Journal of health communication  
This paper considers how these three facets of Health 2.0-participation, data, and collective intelligence-can be harnessed to improve the health of the nation according to Healthy People 2020 goals.  ...  We begin with an examination of evidence from behavioral science to understand how Web 2.0 participative technologies may influence patient processes and outcomes, better or worse, in an era of changing  ...  The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does mention of trade names, commercial products, or organizations  ... 
doi:10.1080/10810730.2011.589882 pmid:21843093 pmcid:PMC3224889 fatcat:qbmi36apabfyvgalekm4kyzb3q

Big Data Insights and Comprehensions in Industrial Healthcare: An Overview

Weiwei He, Shah Nazir, Zahid Hussain, Mian Ahmad Jan
2021 Mobile Information Systems  
Big data are the data which need to be shaped for their volume, size, and shape in order to extract meaningful information for an explicit purpose.  ...  This rise in volume of data can be a challenging task toward analysing the big data for industry and Internet of things (IoT).  ...  for improving the efficiency and quality of personalized healthcare.  ... 
doi:10.1155/2021/6628739 fatcat:oxbt774dznbrtfn3lntrqh4qwy

Influential Usage of Big Data and Artificial Intelligence in Healthcare

Yan Cheng Yang, Saad Ul Islam, Asra Noor, Sadia Khan, Waseem Afsar, Shah Nazir
2021 Computational and Mathematical Methods in Medicine  
Artificial intelligence (AI) is making computer systems capable of executing human brain tasks in many fields in all aspects of daily life.  ...  Especially, ICT has led to a very needy and tremendous improvement in the health sector which is commonly known as electronic health (eHealth) and medical health (mHealth).  ...  The use of ML techniques has the possibility to improve outcomes of health, reduce costs of healthcare, and demonstrate clinical research.  ... 
doi:10.1155/2021/5812499 pmid:34527076 pmcid:PMC8437645 fatcat:lmpwildgefggrisquu6ebwu2iu

Artificial Intelligence in the Evaluation of Body Composition

Benjamin Wang, Martin Torriani
2020 Seminars in Musculoskeletal Radiology  
AbstractBody composition entails the measurement of muscle and fat mass in the body and has been shown to impact clinical outcomes in various aspects of human health.  ...  In this review, novel methods to automate the process of body composition measurement are discussed including the application of artificial intelligence and deep learning to tissue segmentation.  ...  VAT, the intra-abdominal adipose tissue that surrounds the visceral organs, has been linked to a variety of adverse health outcomes.  ... 
doi:10.1055/s-0039-3400267 pmid:31991450 fatcat:f5snhholvzhvzk6wgkxqieim6y

Artificial Intelligence based Conversational Agents for Chronic Conditions: A Systematic Literature Review (Preprint)

Theresa Schachner, Roman Keller, Florian von Wangenheim
2020 Journal of Medical Internet Research  
A rising number of conversational agents or chatbots are equipped with artificial intelligence (AI) architecture.  ...  The goal of this systematic literature review is to review the characteristics, health care conditions, and AI architectures of AI-based conversational agents designed specifically for chronic diseases  ...  Acknowledgments We are grateful to Mr Julian Ventouris for his assistance with the study search process and Ms Grace Xiao for proofreading the document.  ... 
doi:10.2196/20701 pmid:32924957 fatcat:5gqdwduox5cjdfbj7zf6lcu7sa

Evaluating Collaboration Effectiveness of Patient-to-Doctor Interaction in a Healthcare Territorial Network [chapter]

Dario Antonelli, Dario Bellomo, Giulia Bruno, Agostino Villa
2012 IFIP Advances in Information and Communication Technology  
Therefore, the objective of this paper is to outline a Patient Guidance System (PGS) architecture to allow the patients an ubiquitous and secure management of personal health data and an easy call to the  ...  The emerging crucial point of healthcare organizations is to involve patients in autonomous monitoring their own health status by using personal ICT-based systems to manage data, and to ask for an effective  ...  Then, an effective collaborative interaction between a patient and his/her doctor becomes the crucial step for improving the LHA quality of services.  ... 
doi:10.1007/978-3-642-32775-9_13 fatcat:owululwosvgqtdq6pzyk4t7n5y

Autonomous Tool for Monitoring Multi-Morbidity Health Conditions in UAE and India

Shadi Atalla, Saad Ali Amin, M. V. Manoj Kumar, Nanda Kumar Bidare Sastry, Wathiq Mansoor, Ananth Rao
2022 Frontiers in Artificial Intelligence  
One of the regular and critical health cases is an elderly person with a multi-morbid health condition and special complications who lives alone.  ...  for people, communities, and populations.  ...  EXPECTED RESULTS The project would provide an innovative integrated software solution for monitoring elderly persons experiencing multimorbid health conditions.  ... 
doi:10.3389/frai.2022.865792 pmid:35573899 pmcid:PMC9096249 fatcat:nxplezu2sjgfbgm5i3c65ni4i4

Cuba's National eHealth Strategy

Ariel Delgado, Conner Gorry
2008 MEDICC Review  
Cuba has been building a national strategy using information and communication technologies (ICTs) for health since the establishment of the National Medical Sciences Information Center (CNICM) in 1965  ...  Back then, vital statistics and health data - considered a cornerstone of the country's new universal health system - were transmitted by hand or over the phone.  ...  "The strategy is to use ICTs in an intelligent and prioritized way to improve health outcomes," says INFOMED Director Pedro Urra.  ... 
pmid:21483348 fatcat:elybv4k2nbefjn7hws3oj5d3zy

Health Care Bot using Artificial Intelligence for Self-Diagnosis

Chandan Patra
2020 International journal of modern trends in science and technology  
Hence, people will have an idea about their health and have the right protection.  ...  Certain bots act as a medical reference books, which helps the patient know more about their disease and helps to improve their health.  ...  Some Challenges are research and implementation costs, and government regulations for the successful implementation of personalized medicine, they are not mentioned in the paper.  ... 
doi:10.46501/ijmtst061230 fatcat:anqi4ykdcbfzvgl6z3jfd3zl6i
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