Biomarkers and early warning scores: The time for highprecision emergency medicine PDF Download

Author: Francisco Martín-Rodríguez
Publisher: Frontiers Media SA
ISBN: 2832543162
Category : Medical
Languages : en
Pages : 194

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Author: Melike TORUN
Publisher: Efe Akademi Yayınları
ISBN: 6258217176
Category : Computers
Languages : en
Pages : 122

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Book Description
CONTENTS CLASSIFICATION OF HEART ATTACK RISKS WITH ARTIFICIAL INTELLIGENCE METHODS Ezgi DEMİR IMPROVING PATIENT SERVICES IN HEALTHCARE SYSTEMS: OPTIMIZATION OF APPOINTMENT SCHEDULING Uğur ELİİYİ DIGITAL AGE IN HEALTH SERVICES: WEARABLE TECHNOLOGIES, BLOCKCHAIN TECHNOLOGY AND ARTIFICIAL INTELLIGENCE Mehmet ÇİĞDEM – Aygül YANIK THE IMPORTANCE OF ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT Hatice AĞRALI NURSING AND MIDWIFERY IN THE WORLD OF ARTIFICIAL INTELLIGENCE Esma DEMİREZEN THE IMPACT OF MOBILE HEALTH (M-HEALTH) AND ELECTRONIC HEALTH (E-HEALTH) APPLICATIONS ON HEALTH CARE MANAGEMENT Gamze YORGANCIOĞLU TARCAN – Bülent SAPAZ VOS VIEWER ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE AND ECONOMICS Melike TORUN

Author: Adam Bohr
Publisher: Academic Press
ISBN: 0128184396
Category : Computers
Languages : en
Pages : 385

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Book Description
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Author: Bastian M. Seidel
Publisher: Borm Bruckmeier Publishing LLC
ISBN: 9781591032236
Category : Classification
Languages : en
Pages : 452

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Book Description
Pocket-sized quick reference guide offers medical scores, criteria, and classification systems to help enable the clinician to predict outcome, stratify risk, access conditions, and diagnose diseases accurately. Includes practical scores, evidence-based criteria, and complex algorithms simplified whenever possible. For clinicians and residents. Softcover.

Author: Judith Pratt
Publisher: Springer
ISBN: 3319996428
Category : Medical
Languages : en
Pages : 437

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Book Description
This volume addresses one of the Holy Grails in Psychiatry, namely the evidence for and potential to adopt ‘Biomarkers’ for prevention, diagnosis, and treatment responses in mental health conditions. It meshes together state of the art research from international renowned pre-clinical and clinical scientists to illustrate how the fields of anxiety disorders, depression, psychotic disorders, and autism spectrum disorder have advanced in recent years.

Author: Agency for Health Care Research and Quality (U.S.)
Publisher: Government Printing Office
ISBN: 1587634236
Category : Medical
Languages : en
Pages : 204

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Book Description
This User’s Guide is a resource for investigators and stakeholders who develop and review observational comparative effectiveness research protocols. It explains how to (1) identify key considerations and best practices for research design; (2) build a protocol based on these standards and best practices; and (3) judge the adequacy and completeness of a protocol. Eleven chapters cover all aspects of research design, including: developing study objectives, defining and refining study questions, addressing the heterogeneity of treatment effect, characterizing exposure, selecting a comparator, defining and measuring outcomes, and identifying optimal data sources. Checklists of guidance and key considerations for protocols are provided at the end of each chapter. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews. More more information, please consult the Agency website: www.effectivehealthcare.ahrq.gov)

Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309457971
Category : Medical
Languages : en
Pages : 145

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Book Description
Advances in cancer research have led to an improved understanding of the molecular mechanisms underpinning the development of cancer and how the immune system responds to cancer. This influx of research has led to an increasing number and variety of therapies in the drug development pipeline, including targeted therapies and associated biomarker tests that can select which patients are most likely to respond, and immunotherapies that harness the body's immune system to destroy cancer cells. Compared with standard chemotherapies, these new cancer therapies may demonstrate evidence of benefit and clearer distinctions between efficacy and toxicity at an earlier stage of development. However, there is a concern that the traditional processes for cancer drug development, evaluation, and regulatory approval could impede or delay the use of these promising cancer treatments in clinical practice. This has led to a number of effortsâ€"by patient advocates, the pharmaceutical industry, and the Food and Drug Administration (FDA)â€"to accelerate the review of promising new cancer therapies, especially for cancers that currently lack effective treatments. However, generating the necessary data to confirm safety and efficacy during expedited drug development programs can present a unique set of challenges and opportunities. To explore this new landscape in cancer drug development, the National Academies of Sciences, Engineering, and Medicine developed a workshop held in December 2016. This workshop convened cancer researchers, patient advocates, and representatives from industry, academia, and government to discuss challenges with traditional approaches to drug development, opportunities to improve the efficiency of drug development, and strategies to enhance the information available about a cancer therapy throughout its life cycle in order to improve its use in clinical practice. This publication summarizes the presentations and discussions from the workshop.

Author: Agency for Healthcare Research and Quality/AHRQ
Publisher: Government Printing Office
ISBN: 1587634333
Category : Medical
Languages : en
Pages : 396

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Book Description
This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews.

Author: Thierry Moulin
Publisher:
ISBN: 9783805591553
Category :
Languages : en
Pages : 0

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Book Description
This issue is a dedicated supplement published in addition to the regular issues of 'Cerebrovascular Diseases' focussing on one specific topic. 'Cerebrovascular Diseases' is a well-respected, international peer-reviewed journal in Neurology. Supplement issues are included in the subscription.

Author: Joost N. Kok
Publisher: Springer
ISBN: 3540749586
Category : Computers
Languages : en
Pages : 812

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Book Description
This book constitutes the refereed proceedings of the 18th European Conference on Machine Learning, ECML 2007, held in Warsaw, Poland, September 2007, jointly with PKDD 2007. The 41 revised full papers and 37 revised short papers presented together with abstracts of four invited talks were carefully reviewed and selected from 592 abstracts submitted to both, ECML and PKDD. The papers present a wealth of new results in the area and address all current issues in machine learning.