الصفحة 2
الصفحة 2
Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics : Techniques and Applications
Examines and demonstrates state-of-the-art approaches for IoT and Machine Learning based biomedical and health related applications. This book aims to provide computational methods for accumulating, updating and changing knowledge in intelligent systems and particularly learning mechanisms that help us to induce knowledge from the data. It is helpful in cases where direct algorithmic solutions are unavailable, there is lack of formal models, or the knowledge about the application domain is inadequately defined. In the future IoT has the impending capability to change the way we work and live. These computing methods also play a significant role in design and optimization in diverse engineering disciplines. With the influence and the development of the IoT concept, the need for AI (artificial intelligence) techniques has become more significant than ever.
Data Mining and Bioinformatics ; 1st International Workshop, VDMB 2006, Seoul, Korea, September 11, 2006, Revised Selected Papers
This volume contains the papers presented at the inaugural workshop on Data Mining and Bioinformatics at the 32nd International Conference on Very Large Data Bases (VLDB). The purpose of this workshop was to begin bringing - gether researchersfrom database, data mining, and bioinformatics areas to help leverage respective successes in each to the others.
Data integration in the life sciences ; Vol. 3615 ; 2nd international workshop, DILS 2005, San Diego, CA, USA, July 20-22, 2005, Proceedings
Constitutes the refereed proceedings of the Second International Workshop on Data Integration in the Life Sciences, DILS 2005, held in San Diego, CA, USA in July 2005. The papers are organized in sections on user applications, ontologies, data integration, and others, and address the issues in data integration from the life science point of view.
Consumer Health Informatics : Informing Consumers and Improving Health Care
This comprehensive volume the inclusion of several case studies serves to examine pertinent topics, namely computer-based information for cancer; National Library of Medicine initiatives; and web-based patient preferences and utilities. Designed for use by medical IT specialists, physicians, nurses, healthcare providers, and professors and students of medical informatics, the book's chapter highlights include patient empowerment; frameworks and models for health behavior change and patient education; patient to patient communication; patient to provider communication; privacy and confidentiality; ethical issues; evaluation methods, and more.
Computer vision for biomedical image applications
The purpose of this book is to submit the workshop, “Computer Vision for Biomedical Image Applications: Current Techniques and Future Trends” (CVBIA), is to examine the diverse applications of computer vision to biomedical image applications, considering both current methods and promising new trends. An additional goal is to provide the opportunity for direct interactions between (1) prominent senior researchers and young scientists, including students, postdoctoral associates and junior faculty; (2) local researchers and international leaders in biomedical image analysis; and (3) computer scientists and medical practitioners. Our CVBIA workshop had two novel characteristics: each contributed paper was authored primarily by a young scientist, and the workshop attracted an unusually large number of well-respected invited speakers (and their papers).
Computational Intelligence in Medical Informatics
This book deals with the application of computational intelligence in medical informatics. Addressing the various issues of medical informatics using different computational intelligence approaches is the novelty of this edited volume.
Knowledge-Based Intelligent Information and Engineering Systems ; 12th International Conference, KES 2008, Zagreb, Croatia, September 3-5, 2008, Proceedings, Part II
The papers present a wealth of original research results from the field of intelligent information processing in the broadest sense; topics covered in the second volume are artificial intelligence driven engineering design optimization; biomedical informatics: intelligent information management from nanomedicine to public health; communicative intelligence; computational intelligence for image processing and pattern recognition; computational intelligence in human cancer research; computational intelligence techniques for Web personalization; computational intelligent techniques for bioprocess modelling, monitoring and control; intelligent computing for Grid.
Knowledge Discovery in Life Science Literature ; International Workshop, KDLL 2006, Singapore, April 9, 2006, Proceedings
Constitutes the refereed proceedings of the International Workshop on Knowledge Discovery in Life Science Literature, KDLL 2006, held in conjunction with the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2006). The 12 revised full papers presented together with two invited talks were carefully reviewed and selected for inclusion in the book. The papers cover all topics of knowledge discovery in life science data.
Java for Bioinformatics and Biomedical Applications
Illustrates how individual bioinformatics applications (such as BLAST and Genscan) can be stitched together into a pipeline so that users can direct the output of one tool (for example, gene predictions using Genscan) to perform further analysis (say, homology searching using BLAST).
Computational biology in drug discovery and repurposing
Takes an in-depth look at the emerging and prospective field of computational biology and bioinformatics, which possesses the ability to analyze large accumulated biological data collected from sequence analysis of proteins and genes and cell population with an aim to make new predictions pertaining to drug discovery and new biology. The book explains the basic methodology associated with a bioinformatics and computational approach in drug designing. It then goes on to cover the implementation of computational programming, bioinformatics, pharmacophore modeling, biotechnological techniques, and pharmaceutical chemistry in designing drugs. The major advantage of intervention of computer language or programming is to cut down the number of steps and costs in the field of drug designing, reducing the repeating steps and saving time in screening the potent component for drug or vaccine designin
Computational and Information Science ; 1st International Symposium, CIS 2004, Shanghai, China, December 16-18, 2004, Proceedings
this book present the proceedings of The 2004 International Symposium on Computational and Information Sciences (CIS 2004) aimed at bringing researchers in the area of computational and - formation sciences together to exchange new ideas and to explore new ground. The goal of the conference was to push the application of modern computing technologies to science, engineering, and information technologies to a new level of sophistication and understanding.
Clinical decision support systems : Theory and practice
Writes the editor, "If used properly, CDSS have the potential to change the way medicine has been taught and practiced." As clinical decision support systems (CDSS) gain an increasingly central role in the delivery of high quality health care, it becomes more important for the health care community to understand their use. This text is designed as a resource for practicing clinicians, informaticians, teachers and students alike, and provides the most current, comprehensive look a the development and evaluation of clinical decision support systems.
Bioresonance therapy and telemedicine
The aim of our research project is to highlight the Medical application of Physics although we as Pharmacologist remain often focused on the value of Pedications to resolve any disease however we noticed Some complicated medical problems such as antibiotic Resistance where we cannot find any responsive Chemical therapy therefore we referred to the history of Bio resonance therapy however we were also concerned To report the medical value by following some patients Whom were treated and to analyze the mechanism in Which this therapy is effective, and for which diseases And we also hope that this established device for Targeting Bacteria, viruses can hold a hope for patients Who are diagnosed with Corona, there is a proof of Principle for that hypothesis since the scientist Rife has Invented this therapy by interference destruction wave Which could destroy specifically this bacteria upon its Frequency wave without possible
Biomedical Informatics : Computer Applications in Health Care and Biomedicine
This series is directed to healthcare professionals who are leading the transformation of health care by using information and knowledge. Launched in 1988 as Computers in Health Care, the series offers a broad range of titles: some addressed to specific prof- sions such as nursing, medicine, and health administration; others to special areas of practice such as trauma and radiology.
Biomedical data mining for information retrieval : Methodologies, techniques, and applications
Discusses data mining, biomedical image processing, information retrieval with broad coverage of basic scientific applications. covers the topic of mining biomedical text, images and visual features towards information retrieval. Biomedical and health informatics is an emerging field of research at the intersection of information science, computer science, and healthcare and brings tremendous opportunities and challenges due to easily available and abundant biomedical data for further analysis. The aim of healthcare informatics is to ensure the high-quality, efficient healthcare, better treatment and quality of life by analyzing biomedical and healthcare data including patient’s data, electronic health records (EHRs) and lifestyle. Previously, it was a common requirement to have a domain expert to develop a model for biomedical or healthcare; however, recent advancements in representation learning algorithms allows us to automatically to develop the model. Biomedical image mining, a novel research area, due to the vast amount of available biomedical images, increasingly generates and stores digitally.
Biological and medical data analysis ; Vol. 3745 ; 6th International symposium, ISBMDA 2005, Aveiro, Portugal, November 10-11, 2005, Proceedings
The 6th International Symposium on Biological and Medical Data Analysisaimed to become a place where researchersinvolved in these diverse but increas-ingly complementary areas could meet topresent and discuss their scientificresults.The papers in this volume discuss issues from statistical models to archi-tectures and applications to bioinformatics and biomedicine. They cover bothpractical experience and novel research ideas and concepts.
Bioinformatics for oral cancer : Current insights and advances
Offering a deep dive into the multifaceted landscape of oral cancer research and bioinformatics. Readers will uncover a wealth of knowledge, starting with foundational chapters introducing bioinformatics and establishing the backdrop of oral cancer. The book then progresses into the realm of diagnostic biomarkers, revealing cutting-edge methodologies for their identification in the context of oral cancer. The book’s keen focus extends to gene expression profiles and the intricacies of gene sequencing in the context of oral cancer progression.
Big data analytics and machine intelligence in biomedical and health informatics : Concepts, methodologies, tools and applications
Provides coverage of developments and state-of-the-art methods in the broad and diversified data analytics field and applicable areas such as big data analytics, data mining, and machine intelligence in biomedical and health informatics. Covers the latest advances and developments in health informatics, data mining, machine learning, and artificial intelligence. They have been organized with respect to the similarity of topics addressed, ranging from issues pertaining to the Internet of Things (IoT) for biomedical engineering and health informatics, computational intelligence for medical data processing, and Internet of Medical Things??(IoMT).
Best diagnostic tools and supportive medication for cancer patients
Cancer is still a lethal disease despite the development of new effective therapies; therefore the purpose of our study was to improve the patient's outcome by looking for the best diagnostic tools, secondly to improve radiotherapy resistance since about 50% of all cancer patients are treated with it. The fir st par t of our study will be per formed in Alkhatib center and the selection of that hospital was upon its highly sensitive diagnostic tools, in which PET/ CT scan was playing a major role to improve survival as shown in few repor ts in our study, and it’s the only safe diagnostic tool for a per son who has a metal fragments after injury in the war which increased the number of such patients in our country dur ing the last decade. This diagnostic tool is based on FDGin which we can define the tumor by using sugar more than normal tissue.
Artificial intelligence in medicine ; 11th Conference on artificial intelligence in medicine in Europe, AIME 2007, Amsterdam, The Netherlands, July 7-11, 2007, Proceedings
This book contains development of theory, systems, and applications of AI in medicine, including the exploitationof AI approachesto molecularmedicine and biomedical informatics.
