Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Pocket Notes for the Physical Therapist Assistant written by Steven B. Skinner and published by Jones & Bartlett Publishers. This book was released on 2012-05-31 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: A clinical guide for physical therapist assistant students and practicing physical therapist assistants, Pocket Notes for the Physical Therapist Assistant, Second Edition provides quick, convenient access to information on normal values, assessment techniques, treatment suggestions, pharmacology, and pathology descriptions. New content includes an expansion of gait topics, as well as the inclusion hydrotherapy/aquatic therapy, interferential current, mechanical spinal traction, and microelectrical neuromuscular stimulation. Also, information about balance and breathing activities has been added. With revised and updated information and references throughout, the Second Edition is a praised as a recommended resource for physical therapist assistant students and clinicians.

Download or read book Drug like Properties Concepts Structure Design and Methods written by Li Di and published by Elsevier. This book was released on 2010-07-26 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: Of the thousands of novel compounds that a drug discovery project team invents and that bind to the therapeutic target, typically only a fraction of these have sufficient ADME/Tox properties to become a drug product. Understanding ADME/Tox is critical for all drug researchers, owing to its increasing importance in advancing high quality candidates to clinical studies and the processes of drug discovery. If the properties are weak, the candidate will have a high risk of failure or be less desirable as a drug product. This book is a tool and resource for scientists engaged in, or preparing for, the selection and optimization process. The authors describe how properties affect in vivo pharmacological activity and impact in vitro assays. Individual drug-like properties are discussed from a practical point of view, such as solubility, permeability and metabolic stability, with regard to fundamental understanding, applications of property data in drug discovery and examples of structural modifications that have achieved improved property performance. The authors also review various methods for the screening (high throughput), diagnosis (medium throughput) and in-depth (low throughput) analysis of drug properties. - Serves as an essential working handbook aimed at scientists and students in medicinal chemistry - Provides practical, step-by-step guidance on property fundamentals, effects, structure-property relationships, and structure modification strategies - Discusses improvements in pharmacokinetics from a practical chemist's standpoint

Download or read book Multimodal Scene Understanding written by Michael Ying Yang and published by Academic Press. This book was released on 2019-07-16 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multimodal Scene Understanding: Algorithms, Applications and Deep Learning presents recent advances in multi-modal computing, with a focus on computer vision and photogrammetry. It provides the latest algorithms and applications that involve combining multiple sources of information and describes the role and approaches of multi-sensory data and multi-modal deep learning. The book is ideal for researchers from the fields of computer vision, remote sensing, robotics, and photogrammetry, thus helping foster interdisciplinary interaction and collaboration between these realms. Researchers collecting and analyzing multi-sensory data collections – for example, KITTI benchmark (stereo+laser) - from different platforms, such as autonomous vehicles, surveillance cameras, UAVs, planes and satellites will find this book to be very useful. - Contains state-of-the-art developments on multi-modal computing - Shines a focus on algorithms and applications - Presents novel deep learning topics on multi-sensor fusion and multi-modal deep learning

Download or read book The Prevention and Treatment of Missing Data in Clinical Trials written by National Research Council and published by National Academies Press. This book was released on 2010-12-21 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: Randomized clinical trials are the primary tool for evaluating new medical interventions. Randomization provides for a fair comparison between treatment and control groups, balancing out, on average, distributions of known and unknown factors among the participants. Unfortunately, these studies often lack a substantial percentage of data. This missing data reduces the benefit provided by the randomization and introduces potential biases in the comparison of the treatment groups. Missing data can arise for a variety of reasons, including the inability or unwillingness of participants to meet appointments for evaluation. And in some studies, some or all of data collection ceases when participants discontinue study treatment. Existing guidelines for the design and conduct of clinical trials, and the analysis of the resulting data, provide only limited advice on how to handle missing data. Thus, approaches to the analysis of data with an appreciable amount of missing values tend to be ad hoc and variable. The Prevention and Treatment of Missing Data in Clinical Trials concludes that a more principled approach to design and analysis in the presence of missing data is both needed and possible. Such an approach needs to focus on two critical elements: (1) careful design and conduct to limit the amount and impact of missing data and (2) analysis that makes full use of information on all randomized participants and is based on careful attention to the assumptions about the nature of the missing data underlying estimates of treatment effects. In addition to the highest priority recommendations, the book offers more detailed recommendations on the conduct of clinical trials and techniques for analysis of trial data.

Download or read book Precision Medicine and Artificial Intelligence written by Michael Mahler and published by Academic Press. This book was released on 2021-03-12 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Precision Medicine and Artificial Intelligence: The Perfect Fit for Autoimmunity covers background on artificial intelligence (AI), its link to precision medicine (PM), and examples of AI in healthcare, especially autoimmunity. The book highlights future perspectives and potential directions as AI has gained significant attention during the past decade. Autoimmune diseases are complex and heterogeneous conditions, but exciting new developments and implementation tactics surrounding automated systems have enabled the generation of large datasets, making autoimmunity an ideal target for AI and precision medicine. More and more diagnostic products utilize AI, which is also starting to be supported by regulatory agencies such as the Food and Drug Administration (FDA). Knowledge generation by leveraging large datasets including demographic, environmental, clinical and biomarker data has the potential to not only impact the diagnosis of patients, but also disease prediction, prognosis and treatment options. - Allows the readers to gain an overview on precision medicine for autoimmune diseases leveraging AI solutions - Provides background, milestone and examples of precision medicine - Outlines the paradigm shift towards precision medicine driven by value-based systems - Discusses future applications of precision medicine research using AI - Other aspects covered in the book include regulatory insights, data analytics and visualization, types of biomarkers as well as the role of the patient in precision medicine

Download or read book Clinical Prediction Rules written by Paul Glynn and published by Jones & Bartlett Learning. This book was released on 2011 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clinical Prediction Rules: A Physical Therapy Reference Manual, is intended to be used for multiple musculoskeletal courses. It includes musculoskeletal clinical prediction rules organized by region, thus allowing for its repeated use during the upper and lower quarter as well as in the students spine coursework. Additionally this manual includes multiple medical screening prediction rules, making it appropriate for differential diagnosis and diagnostic imaging coursework. Perfect for entry-level physical therapy programs, this text is also suitable for post-professional physical therapy programs, especially those that include an orthopaedic residency or manual therapy fellowship program, and as a reference manual for students going out on their clinical rotations.

Download or read book Small Clinical Trials written by Institute of Medicine and published by National Academies Press. This book was released on 2001-01-01 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clinical trials are used to elucidate the most appropriate preventive, diagnostic, or treatment options for individuals with a given medical condition. Perhaps the most essential feature of a clinical trial is that it aims to use results based on a limited sample of research participants to see if the intervention is safe and effective or if it is comparable to a comparison treatment. Sample size is a crucial component of any clinical trial. A trial with a small number of research participants is more prone to variability and carries a considerable risk of failing to demonstrate the effectiveness of a given intervention when one really is present. This may occur in phase I (safety and pharmacologic profiles), II (pilot efficacy evaluation), and III (extensive assessment of safety and efficacy) trials. Although phase I and II studies may have smaller sample sizes, they usually have adequate statistical power, which is the committee's definition of a "large" trial. Sometimes a trial with eight participants may have adequate statistical power, statistical power being the probability of rejecting the null hypothesis when the hypothesis is false. Small Clinical Trials assesses the current methodologies and the appropriate situations for the conduct of clinical trials with small sample sizes. This report assesses the published literature on various strategies such as (1) meta-analysis to combine disparate information from several studies including Bayesian techniques as in the confidence profile method and (2) other alternatives such as assessing therapeutic results in a single treated population (e.g., astronauts) by sequentially measuring whether the intervention is falling above or below a preestablished probability outcome range and meeting predesigned specifications as opposed to incremental improvement.

Download or read book Prediction of Neuroleptic Treatment Outcome in Schizophrenia written by W. Gaebel and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prognosis is a core concept in psychiatry. This book is concerned with prediction of neuroleptic treatment outcome in schizophrenia from a conceptual and methodological point of view. Various aspects of the topic, such as definition and measurement of response, dimensions of treatment outcome, neuropsychological, neuropsychopharmacological and neurobiochemical predictors as well as the clinical application of neuroimaging methods and neurogenetics are treated by experts in the field. One aim of the book is to summarize the present state of the art in prediction research and thereby to provide a useful compendium. Moreover guidelines for future research strategies are formulated.

Download or read book A Psychology of Human Strengths written by Lisa G. Aspinwall and published by Amer Psychological Assn. This book was released on 2003 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an era of vaccinations, angioplasty, and gene therapy, is there any need for behavioral change in improving health? Is the role of the clinical, counseling, and health psychologist becoming obsolete? Quite the contrary. As Margaret A. Chesney and Michael H. Antoni demonstrate in Innovative Approaches to Health Psychology, the opportunity for clinical, counseling, and health psychologists to increase the scope of their practice and their contribution to research is more vital than ever. As medicine advances, risky behaviors rise, as does noncompliance with medical regimens and the incidence of more drug-resistant strains of viruses. This fascinating book demonstrates how health psychology has risen to the challenge to find new ways to reach and treat at-risk populations. Using their experiences in responding to the HIV/AIDS crisis over nearly two decades, leading experts in health psychology and clinical psychology illustrate how they identified avenues for intervention and new targets for behavior change and designed new methods to address critical problems. Each chapter presents the theoretical rationale for a host of strategies, empirical validation for the effectiveness with a specific population or presenting problem, and step-by-step procedures for implementation. Experts demonstrate how basic behavioral science principles were used to develop interventions to assist individuals, families, small groups, and communities. They also share valuable lessons in treating chronic pain, sleep disturbance, noncompliance with complex medical regimens, and the miracle cure/quick fix mentality. They describe their successes in tailoring interventions to specific risk populations, such as adolescents, pregnant women, African American women, gay men, and IV drug users. These findings are invaluable in addressing a range of public health concerns, from sexually transmitted diseases to coping with chronic disease.

Download or read book Prognosis Research in Healthcare written by Richard D. Riley and published by Oxford University Press. This book was released on 2019-01-17 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: "What is going to happen to me?" Most patients ask this question during a clinical encounter with a health professional. As well as learning what problem they have (diagnosis) and what needs to be done about it (treatment), patients want to know about their future health and wellbeing (prognosis). Prognosis research can provide answers to this question and satisfy the need for individuals to understand the possible outcomes of their condition, with and without treatment. Central to modern medical practise, the topic of prognosis is the basis of decision making in healthcare and policy development. It translates basic and clinical science into practical care for patients and populations. Prognosis Research in Healthcare: Concepts, Methods and Impact provides a comprehensive overview of the field of prognosis and prognosis research and gives a global perspective on how prognosis research and prognostic information can improve the outcomes of healthcare. It details how to design, carry out, analyse and report prognosis studies, and how prognostic information can be the basis for tailored, personalised healthcare. In particular, the book discusses how information about the characteristics of people, their health, and environment can be used to predict an individual's future health. Prognosis Research in Healthcare: Concepts, Methods and Impact, addresses all types of prognosis research and provides a practical step-by-step guide to undertaking and interpreting prognosis research studies, ideal for medical students, health researchers, healthcare professionals and methodologists, as well as for guideline and policy makers in healthcare wishing to learn more about the field of prognosis.

Download or read book Applied Predictive Modeling written by Max Kuhn and published by Springer Science & Business Media. This book was released on 2013-05-17 with total page 595 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.

Download or read book CBASP as a Distinctive Treatment for Persistent Depressive Disorder written by James P. McCullough, Jr. and published by Routledge. This book was released on 2014-11-27 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Cognitive Behavioural Analysis System of Psychotherapy (CBASP) is the only psychotherapy model developed specifically for chronic depression. In the latest addition to the successful Distinctive Features series, the developer of CBASP, James P. McCullough Jr., along with Elisabeth Schramm and J. Kim Penberthy, provides an accessible introduction to this approach, showing how it differs from other cognitive behavioural approaches, and highlighting those features – both theoretical and practical – that make it unique. The unparalleled problems of the chronically depressed patient are some of the most difficult that practitioners face. The disorder has usually continued for a decade or more and patients enter psychotherapy interpersonally withdrawn, detached and with little or no motivation to change. CBASP as A Distinctive Treatment for Persistent Depressive Disorder provides a new look into the phenomenological world of the patient and shows the reader why the world-view of the patient is a valid perception of reality. CBASP is designed to address the problems of the patient in a step-by-step manner. This book explores the therapist role and shows how the CBASP model enables therapists to address the patient’s depression in a zone of interpersonal safety. Patients are taught how to behave in an interpersonally facilitative manner and shown how everything they do has consequences for others (including the therapist) and on the social environment in which they live. CBASP as A Distinctive Treatment for Persistent Depressive Disorder will be essential reading for novice and experienced CBT therapists, counselors and psychotherapists treating chronic depression.

Download or read book A Guide to Assessments that Work written by John Hunsley and published by Oxford University Press. This book was released on 2018 with total page 777 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume addresses the assessment of the most commonly encountered disorders or conditions among children, adolescents, adults, older adults, and couples. Strategies and instruments for assessing mood disorders, anxiety and related disorders, couple distress and sexual problems, health-related problems, and many other conditions are reviewed by leading experts.

Download or read book The Elements of Statistical Learning written by Trevor Hastie and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book’s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for “wide” data (p bigger than n), including multiple testing and false discovery rates. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.

Download or read book Medical Risk Prediction Models written by Thomas A. Gerds and published by CRC Press. This book was released on 2021-02-01 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Medical Risk Prediction Models: With Ties to Machine Learning is a hands-on book for clinicians, epidemiologists, and professional statisticians who need to make or evaluate a statistical prediction model based on data. The subject of the book is the patient’s individualized probability of a medical event within a given time horizon. Gerds and Kattan describe the mathematical details of making and evaluating a statistical prediction model in a highly pedagogical manner while avoiding mathematical notation. Read this book when you are in doubt about whether a Cox regression model predicts better than a random survival forest. Features: All you need to know to correctly make an online risk calculator from scratch Discrimination, calibration, and predictive performance with censored data and competing risks R-code and illustrative examples Interpretation of prediction performance via benchmarks Comparison and combination of rival modeling strategies via cross-validation Thomas A. Gerds is a professor at the Biostatistics Unit at the University of Copenhagen and is affiliated with the Danish Heart Foundation. He is the author of several R-packages on CRAN and has taught statistics courses to non-statisticians for many years. Michael W. Kattan is a highly cited author and Chair of the Department of Quantitative Health Sciences at Cleveland Clinic. He is a Fellow of the American Statistical Association and has received two awards from the Society for Medical Decision Making: the Eugene L. Saenger Award for Distinguished Service, and the John M. Eisenberg Award for Practical Application of Medical Decision-Making Research.

Download or read book Predicting Malicious Behavior written by Gary M. Jackson and published by John Wiley & Sons. This book was released on 2012-05-25 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: A groundbreaking exploration of how to identify and fight security threats at every level This revolutionary book combines real-world security scenarios with actual tools to predict and prevent incidents of terrorism, network hacking, individual criminal behavior, and more. Written by an expert with intelligence officer experience who invented the technology, it explores the keys to understanding the dark side of human nature, various types of security threats (current and potential), and how to construct a methodology to predict and combat malicious behavior. The companion CD demonstrates available detection and prediction systems and presents a walkthrough on how to conduct a predictive analysis that highlights proactive security measures. Guides you through the process of predicting malicious behavior, using real world examples and how malicious behavior may be prevented in the future Illustrates ways to understand malicious intent, dissect behavior, and apply the available tools and methods for enhancing security Covers the methodology for predicting malicious behavior, how to apply a predictive methodology, and tools for predicting the likelihood of domestic and global threats CD includes a series of walkthroughs demonstrating how to obtain a predictive analysis and how to use various available tools, including Automated Behavior Analysis Predicting Malicious Behavior fuses the behavioral and computer sciences to enlighten anyone concerned with security and to aid professionals in keeping our world safer.