Book Synopsis ACM-BCB'19 by :
Download or read book ACM-BCB'19 written by and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis ACM-BCB'19 by :
Acm Bcb19
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Book Synopsis ACM-BCB'19 by :
Author : Vishal Goar
Publisher : Springer Nature
ISBN 13 : 9811998884
Total Pages : 621 pages
Book Rating : 4.8/5 (119 download)
Book Synopsis Advances in Information Communication Technology and Computing by : Vishal Goar
Download or read book Advances in Information Communication Technology and Computing written by Vishal Goar and published by Springer Nature. This book was released on 2023-05-29 with total page 621 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a collection of best selected research papers presented at the International Conference on Advances in Information Communication Technology and Computing (AICTC 2022), held in Government Engineering College Bikaner, Bikaner, India during 17 – 18 December 2022. The book covers ICT-based approaches in the areas of ICT for Energy Efficiency, Life Cycle Assessment of ICT, Green IT, Green Information Systems, Environmental Informatics, Energy Informatics, Sustainable HCI, or Computational Sustainability.
Author : Andrew Nguyen
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098112873
Total Pages : 239 pages
Book Rating : 4.0/5 (981 download)
Book Synopsis Hands-On Healthcare Data by : Andrew Nguyen
Download or read book Hands-On Healthcare Data written by Andrew Nguyen and published by "O'Reilly Media, Inc.". This book was released on 2022-08-10 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: Healthcare is the next frontier for data science. Using the latest in machine learning, deep learning, and natural language processing, you'll be able to solve healthcare's most pressing problems: reducing cost of care, ensuring patients get the best treatment, and increasing accessibility for the underserved. But first, you have to learn how to access and make sense of all that data. This book provides pragmatic and hands-on solutions for working with healthcare data, from data extraction to cleaning and harmonization to feature engineering. Author Andrew Nguyen covers specific ML and deep learning examples with a focus on producing high-quality data. You'll discover how graph technologies help you connect disparate data sources so you can solve healthcare's most challenging problems using advanced analytics. You'll learn: Different types of healthcare data: electronic health records, clinical registries and trials, digital health tools, and claims data The challenges of working with healthcare data, especially when trying to aggregate data from multiple sources Current options for extracting structured data from clinical text How to make trade-offs when using tools and frameworks for normalizing structured healthcare data How to harmonize healthcare data using terminologies, ontologies, and mappings and crosswalks
Author : Shruti Jain
Publisher : CRC Press
ISBN 13 : 1000514048
Total Pages : 295 pages
Book Rating : 4.0/5 (5 download)
Book Synopsis Assistive Technology Intervention in Healthcare by : Shruti Jain
Download or read book Assistive Technology Intervention in Healthcare written by Shruti Jain and published by CRC Press. This book was released on 2021-12-30 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Assistive Technology Intervention in Healthcare focuses on various applications of intelligent techniques in biomedical engineering and health informatics. It aims to create awareness about disability reduction and recovery of accidental disability with the help of various rehabilitative systems. Novel technologies in disability treatment, management and assistance, including healthcare devices and their utility from home to hospital, are described. The book deals with simulation, modeling, measurement, control, analysis, information extraction and monitoring of physiological data in clinical medicine and biology. Features Covers the latest evolutionary approaches to solve optimization problems in the biomedical engineering field Explains machine learning–based approaches to improvement in health engineering areas Reviews the IoT, cloud computing and data analytics in healthcare informatics Discusses modeling and simulations in the design of biomedical equipment Explores monitoring of physiological data This book is aimed at researchers and graduate students in biomedical engineering, clinical engineering and bioinformatics.
Author : Dan Gusfield
Publisher : Cambridge University Press
ISBN 13 : 1108421768
Total Pages : 431 pages
Book Rating : 4.1/5 (84 download)
Book Synopsis Integer Linear Programming in Computational and Systems Biology by : Dan Gusfield
Download or read book Integer Linear Programming in Computational and Systems Biology written by Dan Gusfield and published by Cambridge University Press. This book was released on 2019-06-13 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: This hands-on tutorial text for non-experts demonstrates biological applications of a versatile modeling and optimization technique.
Author : Hiroko Satoh
Publisher : Springer Nature
ISBN 13 : 9819748283
Total Pages : 358 pages
Book Rating : 4.8/5 (197 download)
Book Synopsis Drug Development Supported by Informatics by : Hiroko Satoh
Download or read book Drug Development Supported by Informatics written by Hiroko Satoh and published by Springer Nature. This book was released on with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Abedalrhman Alkhateeb
Publisher : Springer Nature
ISBN 13 : 303136502X
Total Pages : 171 pages
Book Rating : 4.0/5 (313 download)
Book Synopsis Machine Learning Methods for Multi-Omics Data Integration by : Abedalrhman Alkhateeb
Download or read book Machine Learning Methods for Multi-Omics Data Integration written by Abedalrhman Alkhateeb and published by Springer Nature. This book was released on 2023-12-15 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advancement of biomedical engineering has enabled the generation of multi-omics data by developing high-throughput technologies, such as next-generation sequencing, mass spectrometry, and microarrays. Large-scale data sets for multiple omics platforms, including genomics, transcriptomics, proteomics, and metabolomics, have become more accessible and cost-effective over time. Integrating multi-omics data has become increasingly important in many research fields, such as bioinformatics, genomics, and systems biology. This integration allows researchers to understand complex interactions between biological molecules and pathways. It enables us to comprehensively understand complex biological systems, leading to new insights into disease mechanisms, drug discovery, and personalized medicine. Still, integrating various heterogeneous data types into a single learning model also comes with challenges. In this regard, learning algorithms have been vital in analyzing and integrating these large-scale heterogeneous data sets into one learning model. This book overviews the latest multi-omics technologies, machine learning techniques for data integration, and multi-omics databases for validation. It covers different types of learning for supervised and unsupervised learning techniques, including standard classifiers, deep learning, tensor factorization, ensemble learning, and clustering, among others. The book categorizes different levels of integrations, ranging from early, middle, or late-stage among multi-view models. The underlying models target different objectives, such as knowledge discovery, pattern recognition, disease-related biomarkers, and validation tools for multi-omics data. Finally, the book emphasizes practical applications and case studies, making it an essential resource for researchers and practitioners looking to apply machine learning to their multi-omics data sets. The book covers data preprocessing, feature selection, and model evaluation, providing readers with a practical guide to implementing machine learning techniques on various multi-omics data sets.
Author : Haiwei Luo
Publisher : Springer Nature
ISBN 13 : 1071626914
Total Pages : 365 pages
Book Rating : 4.0/5 (716 download)
Book Synopsis Environmental Microbial Evolution by : Haiwei Luo
Download or read book Environmental Microbial Evolution written by Haiwei Luo and published by Springer Nature. This book was released on 2022-09-09 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume explores the latest techniques used to study environmental microbial evolution, with a focus on methods capable of addressing deep evolution at long timescales. The chapters in this book are organized into three parts. Part One introduces molecular dating approaches and time calibration ideas that allow for the determination of evolutionary timescales of microbial lineages. Part Two describes several advanced phylogenomic tools such as models for genome tree construction, a taxon sampling method, outgroup-independent tree-rooting methods, and gene family evolution models. Part Three covers techniques used to study trait evolution. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and comprehensive, Environmental Microbial Evolution: Methods and Protocols is a valuable tool for all researchers who are interested in learning more about this important and evolving field.
Author : Anna Bernasconi
Publisher : Springer Nature
ISBN 13 : 303144907X
Total Pages : 277 pages
Book Rating : 4.0/5 (314 download)
Book Synopsis Model, Integrate, Search... Repeat by : Anna Bernasconi
Download or read book Model, Integrate, Search... Repeat written by Anna Bernasconi and published by Springer Nature. This book was released on 2024-01-11 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a revised version of the PhD dissertation written by the author to receive her PhD from the Department of Electronics, Information and Bioengineering at Politecnico di Milano, Italy. The work deals with one of the central objectives of the European Research Council project “Data-Driven Genomic Computing”, i.e., building an integrated repository for genomic data. It reflects the research adventure that starts from modeling biological data, goes through the challenges of integrating complex data and their describing metadata and finally builds tools for searching the data empowered by a semantic layer. The results of this thesis are part of a broad vision: the availability of conceptual models, related databases, and search systems for both humans and viruses genomics will provide important opportunities for research, especially if virus data will be connected to its host, the human being, who is the provider of genomic and phenotype information. In 2023, the PhD dissertation won the CAiSE PhD Award, granted to outstanding PhD theses in the field of information systems engineering.
Author : Yuan-Ting Zhang
Publisher : Springer
ISBN 13 : 9811045054
Total Pages : 214 pages
Book Rating : 4.8/5 (11 download)
Book Synopsis International Conference on Biomedical and Health Informatics by : Yuan-Ting Zhang
Download or read book International Conference on Biomedical and Health Informatics written by Yuan-Ting Zhang and published by Springer. This book was released on 2018-12-28 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the proceedings of the International Conference on Biomedical and Health Informatics (ICBHI). The conference was a new special topic conference and a common initiative by the International Federation of Medical and Biological Engineering (IFMBE) and IEEE Engineering in Medicine and Biology Society (IEEE- EMBS). BHI2015 was held in Haikou, China, 8-10 October 2015. The main theme of the BHI2015 is “The Convergence: Integrating Information and Communication Technologies with Biomedicine for Global Health”. The ICBHI2015 proceedings examine enabling technologies of sensors, devices and systems that optimize the acquisition, transmission, processing, storage, retrieval, use of biomedical and health information as well as to report novel clinical applications of health information systems and the deployment of m-Health, e-Health, u-Health, p-Health and Telemedicine.
Author : Martin Michalowski
Publisher : Springer Nature
ISBN 13 : 3030591379
Total Pages : 505 pages
Book Rating : 4.0/5 (35 download)
Book Synopsis Artificial Intelligence in Medicine by : Martin Michalowski
Download or read book Artificial Intelligence in Medicine written by Martin Michalowski and published by Springer Nature. This book was released on 2020-09-25 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: The LNAI 12299 constitutes the papers of the 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, which will be held online in August 2020. The 42 full papers presented together with 1short papers in this volume were carefully reviewed and selected from a total of 103 submissions. The AIME 2020 goals were to present and consolidate the international state of the art of AI in biomedical research from the perspectives of theory, methodology, systems, and applications.
Author : N. Petkov
Publisher : IOS Press
ISBN 13 : 1614999295
Total Pages : 370 pages
Book Rating : 4.6/5 (149 download)
Book Synopsis Applications of Intelligent Systems by : N. Petkov
Download or read book Applications of Intelligent Systems written by N. Petkov and published by IOS Press. This book was released on 2018-12-21 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: The deployment of intelligent systems to tackle complex processes is now commonplace in many fields from medicine and agriculture to industry and tourism. This book presents scientific contributions from the 1st International Conference on Applications of Intelligent Systems (APPIS 2018) held at the Museo Elder in Las Palmas de Gran Canaria, Spain, from 10 to 12 January 2018. The aim of APPIS 2018 was to bring together scientists working on the development of intelligent computer systems and methods for machine learning, artificial intelligence, pattern recognition, and related techniques with an emphasis on their application to various problems. The 34 peer-reviewed papers included here cover an extraordinarily wide variety of topics – everything from semi-supervised learning to matching electro-chemical sensor information with human odor perception – but what they all have in common is the design and application of intelligent systems and their role in tackling diverse and complex challenges. The book will be of particular interest to all those involved in the development and application of intelligent systems.
Author : Barry L. Stoddard
Publisher : Humana
ISBN 13 : 9781493935673
Total Pages : 0 pages
Book Rating : 4.9/5 (356 download)
Book Synopsis Computational Design of Ligand Binding Proteins by : Barry L. Stoddard
Download or read book Computational Design of Ligand Binding Proteins written by Barry L. Stoddard and published by Humana. This book was released on 2016-04-20 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides a collection of protocols and approaches for the creation of novel ligand binding proteins, compiled and described by many of today's leaders in the field of protein engineering. Chapters focus on modeling protein ligand binding sites, accurate modeling of protein-ligand conformational sampling, scoring of individual docked solutions, structure-based design program such as ROSETTA, protein engineering, and additional methodological approaches. Examples of applications include the design of metal-binding proteins and light-induced ligand binding proteins, the creation of binding proteins that also display catalytic activity, and the binding of larger peptide, protein, DNA and RNA ligands. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.
Author : Gerald J. Bakus
Publisher : John Wiley & Sons
ISBN 13 : 0470044403
Total Pages : 452 pages
Book Rating : 4.4/5 (7 download)
Book Synopsis Quantitative Analysis of Marine Biological Communities by : Gerald J. Bakus
Download or read book Quantitative Analysis of Marine Biological Communities written by Gerald J. Bakus and published by John Wiley & Sons. This book was released on 2007-01-22 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative methods specifically tailored for the marine biologist While there are countless texts published on quantitative methods and many texts that cover quantitative terrestrial ecology, this text fills the need for the special quantitative problems confronting marine biologists and biological oceanographers. The author combines common quantitative techniques with recent advances in quantitative methodology and then demonstrates how these techniques can be used to study marine organisms, their behaviors, and their interactions with the environment. Readers learn how to better design experiments and sampling, employ sophisticated mathematical techniques, and accurately interpret and communicate the results. Most of this text is written at an introductory level, with a few topics that advance to more complex themes. Among the topics covered are plot/plotless sampling, biometrics, experimental design, game theory, optimization, time trends, modeling, and environmental impact assessments. Even readers new to quantitative methods will find the material accessible, with plenty of features to engage their interest, promote learning, and put their knowledge into practice: * One or more examples are provided to illustrate each individual quantitative technique presented in the text * The accompanying CD-ROM features two multimedia programs, several statistical programs, help to run complex statistical programs, and additional information amplifying topics covered in the text * References lead readers to additional information to pursue individual topics in greater depth Quantitative Analysis of Marine Biological Communities, with its extensive use of examples, is ideal for undergraduate and graduate students in marine biology. Marine biologists, regardless of their level of experience, will also discover new approaches to quantitative analysis tailored to the particular needs of their field.
Author : Janet L. Kolodner
Publisher : Springer Science & Business Media
ISBN 13 : 9780792393436
Total Pages : 186 pages
Book Rating : 4.3/5 (934 download)
Book Synopsis Case-Based Learning by : Janet L. Kolodner
Download or read book Case-Based Learning written by Janet L. Kolodner and published by Springer Science & Business Media. This book was released on 1993-04-30 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: Case-based reasoning means reasoning based on remembering previous experiences. A reasoner using old experiences (cases) might use those cases to suggest solutions to problems, to point out potential problems with a solution being computed, to interpret a new situation and make predictions about what might happen, or to create arguments justifying some conclusion. A case-based reasoner solves new problems by remembering old situations and adapting their solutions. It interprets new situations by remembering old similar situations and comparing and contrasting the new one to old ones to see where it fits best. Case-based reasoning combines reasoning with learning. It spans the whole reasoning cycle. A situation is experienced. Old situations are used to understand it. Old situations are used to solve a problem (if there is one to be solved). Then the new situation is inserted into memory alongside the cases it used for reasoning, to be used another time. The key to this reasoning method, then, is remembering. Remembering has two parts: integrating cases or experiences into memory when they happen and recalling them in appropriate situations later on. The case-based reasoning community calls this related set of issues the indexing problem. In broad terms, it means finding in memory the experience closest to a new situation. In narrower terms, it can be described as a two-part problem: assigning indexes or labels to experiences when they are put into memory that describe the situations to which they are applicable, so that they can be recalled later; and at recall time, elaborating the new situation in enough detail so that the indexes it would have if it were in the memory are identified. Case-Based Learning is an edited volume of original research comprising invited contributions by leading workers. This work has also been published as a special issues of MACHINE LEARNING, Volume 10, No. 3.
Author :
Publisher : Elsevier
ISBN 13 : 0080522521
Total Pages : 683 pages
Book Rating : 4.0/5 (85 download)
Book Synopsis Cytometry, Part A by :
Download or read book Cytometry, Part A written by and published by Elsevier. This book was released on 2000-10-31 with total page 683 pages. Available in PDF, EPUB and Kindle. Book excerpt: Each chapter presents a detailed background of the described method, its theoretical foundations, and its applicability to different biomedical material. Updated chapters describe either the most popular methods or those processes that have evolved the most since the past edition. Additionally, a large portion of the volume is devoted to clinical cytometry. Particular attention is paid to applications of cytometry in oncology, the most rapidly growing area. - Contains 56 extensive chapters authored by world authorities on cytometry - Covers a wide range of topics, including principles of cytometry and general methods, cell preparation, tandardization and quality assurance, cell proliferation, apoptosis, cell-cell/cell-environmental interactions, cytogenetics and molecular genetics, cell function and differentiation, experimental and clinical oncology, microorganisms, and infectious diseases - Describes in-depth the essential methods and scientific principles of flow and laser scanning cytometry and illustrates how they can be applied to the fields of biology and medicine - Complements the first and second editions on flow cytometry in the Methods in Cell Biology series and includes new sections on technology principles
Author : Rajesh K. Kana
Publisher : Frontiers E-books
ISBN 13 : 2889192822
Total Pages : 265 pages
Book Rating : 4.8/5 (891 download)
Book Synopsis Brain Connectivity in Autism by : Rajesh K. Kana
Download or read book Brain Connectivity in Autism written by Rajesh K. Kana and published by Frontiers E-books. This book was released on 2014-09-23 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: The brain's ability to process information crucially relies on connectivity. Understanding how the brain processes complex information and how such abilities are disrupted in individuals with neuropsychological disorders will require an improved understanding of brain connectivity. Autism is an intriguingly complex neurodevelopmental disorder with multidimensional symptoms and cognitive characteristics. A biological origin for autism spectrum disorders (ASD) had been proposed even in the earliest published accounts (Kanner, 1943; Asperger, 1944). Despite decades of research, a focal neurobiological marker for autism has been elusive. Nevertheless, disruptions in interregional and functional and anatomical connectivity have been a hallmark of neural functioning in ASD. Theoretical accounts of connectivity perceive ASD as a cognitive and neurobiological disorder associated with altered functioning of integrative circuitry. Neuroimaging studies have reported disruptions in functional connectivity (synchronization of activated brain areas) during cognitive tasks and during task-free resting states. While these insights are valuable, they do not address the time-lagged causality and directionality of such correlations. Despite the general promise of the connectivity account of ASD, inconsistencies and methodological differences among studies call for more thorough investigations. A comprehensive neurological account of ASD should incorporate functional, effective, and anatomical connectivity measures and test the diagnostic utility of such measures. In addition, questions pertaining to how cognitive and behavioral intervention can target connection abnormalities in ASD should be addressed. This research topic of the Frontiers in Human Neuroscience addresses “Brain Connectivity in Autism” primarily from cognitive neuroscience and neuroimaging perspectives.
