Download or read book Approaching Clinical Decision Making with Case based Reasoning Rule based Reasoning and Data Mining written by Subashree Jagannathan and published by . This book was released on 2002 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Case Based Reasoning written by Janet Kolodner and published by Morgan Kaufmann. This book was released on 2014-06-28 with total page 687 pages. Available in PDF, EPUB and Kindle. Book excerpt: Case-based reasoning is one of the fastest growing areas in the field of knowledge-based systems and this book, authored by a leader in the field, is the first comprehensive text on the subject. Case-based reasoning systems are systems that store information about situations in their memory. As new problems arise, similar situations are searched out to help solve these problems. Problems are understood and inferences are made by finding the closest cases in memory, comparing and contrasting the problem with those cases, making inferences based on those comparisons, and asking questions when inferences can't be made. This book presents the state of the art in case-based reasoning. The author synthesizes and analyzes a broad range of approaches, with special emphasis on applying case-based reasoning to complex real-world problem-solving tasks such as medical diagnosis, design, conflict resolution, and planning. The author's approach combines cognitive science and engineering, and is based on analysis of both expert and common-sense tasks. Guidelines for building case-based expert systems are provided, such as how to represent knowledge in cases, how to index cases for accessibility, how to implement retrieval processes for efficiency, and how to adapt old solutions to fit new situations. This book is an excellent text for courses and tutorials on case-based reasoning. It is also a useful resource for computer professionals and cognitive scientists interested in learning more about this fast-growing field.
Download or read book Case based Reasoning written by Beatriz López and published by Morgan & Claypool Publishers. This book was released on 2013 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: Case-based reasoning is a methodology with a long tradition in artificial intelligence that brings together reasoning and machine learning techniques to solve problems based on past experiences or cases. Given a problem to be solved, reasoning involves the use of methods to retrieve similar past cases in order to reuse their solution for the problem at hand. Once the problem has been solved, learning methods can be applied to improve the knowledge based on past experiences. In spite of being a broad methodology applied in industry and services, case-based reasoning has often been forgotten in both artificial intelligence and machine learning books. The aim of this book is to present a concise introduction to case-based reasoning providing the essential building blocks for the designing of case-based reasoning systems, as well as to bring together the main research lines in this field to encourage students to solve current CBR challenges.
Download or read book Case Based Reasoning written by Michael M. Richter and published by Springer Science & Business Media. This book was released on 2013-10-31 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents case-based reasoning in a systematic approach with two goals: to present rigorous and formally valid structures for precise case-based reasoning, and to demonstrate the range of techniques, methods, and tools available for many applications.
Download or read book Successful Case based Reasoning Applications written by Stefania Montani and published by Springer Science & Business Media. This book was released on 2010-08-11 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: Case-based reasoning (CBR) is an Artificial Intelligence (AI) technique to support the capability of reasoning and learning in advanced decision support systems. CBR exploits the specific knowledge collected on previously encountered and solved situations, which are known as cases. In this book, we have collected a selection of papers on very recent CBR applications. These, after an in-depth analysis of their specific application domain needs, propose proper methodological solutions and give encouraging evaluation results, which have in some cases led to the commercialization step. The collected contributions demonstrate the capability of CBR to solve or handle issues which would be too difficult to manage with other classical AI methods and techniques, such as rules or models. The heterogeneity of the involved application domains indicates the flexibility of CBR, and its applicability in all those fields where experiential knowledge is (readily) available.
Download or read book Case based Reasoning written by David B. Leake and published by . This book was released on 1996 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: It also presents lessons learned about how to design CBR systems and how to apply them to real-world problems. The final chapters include a perspective on the state of the field and the most important directions for future impact.
Download or read book Diverse Perspectives and State of the Art Approaches to the Utilization of Data Driven Clinical Decision Support Systems written by Connolly, Thomas M. and published by IGI Global. This book was released on 2022-11-11 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: The medical domain is home to many critical challenges that stand to be overcome with the use of data-driven clinical decision support systems (CDSS), and there is a growing set of examples of automated diagnosis, prognosis, drug design, and testing. However, the current state of AI in medicine has been summarized as “high on promise and relatively low on data and proof.” If such problems can be addressed, a data-driven approach will be very important to the future of CDSSs as it simplifies the knowledge acquisition and maintenance process, a process that is time-consuming and requires considerable human effort. Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems critically reflects on the challenges that data-driven CDSSs must address to become mainstream healthcare systems rather than a small set of exemplars of what might be possible. It further identifies evidence-based, successful data-driven CDSSs. Covering topics such as automated planning, diagnostic systems, and explainable artificial intelligence, this premier reference source is an excellent resource for medical professionals, healthcare administrators, IT managers, pharmacists, students and faculty of higher education, librarians, researchers, and academicians.
Download or read book Handbook on Decision Making written by Chee Peng Lim and published by Springer Science & Business Media. This book was released on 2010-09-07 with total page 539 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision making arises when we wish to select the best possible course of action from a set of alternatives. With advancements of the digital technologies, it is easy, and almost instantaneous, to gather a large volume of information and/or data pertaining to a problem that we want to solve. For instance, the world-wi- web is perhaps the primary source of information and/or data that we often turn to when we face a decision making problem. However, the information and/or data that we obtain from the real world often are complex, and comprise various kinds of noise. Besides, real-world information and/or data often are incomplete and ambiguous, owing to uncertainties of the environments. All these make decision making a challenging task. To cope with the challenges of decision making, - searchers have designed and developed a variety of decision support systems to provide assistance in human decision making processes. The main aim of this book is to provide a small collection of techniques stemmed from artificial intelligence, as well as other complementary methodo- gies, that are useful for the design and development of intelligent decision support systems. Application examples of how these intelligent decision support systems can be utilized to help tackle a variety of real-world problems in different - mains, e. g. business, management, manufacturing, transportation and food ind- tries, and biomedicine, are also presented. A total of twenty chapters, which can be broadly divided into two parts, i. e.
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.
Download or read book Rational Diagnosis and Treatment written by Peter Gøtzsche and published by John Wiley & Sons. This book was released on 2008-03-11 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now in its fourth edition, Rational Diagnosis and Treatment: Evidence-Based Clinical Decision-Making is a unique book to look at evidence-based medicine and the difficulty of applying evidence from group studies to individual patients. The book analyses the successive stages of the decision process and deals with topics such as the examination of the patient, the reliability of clinical data, the logic of diagnosis, the fallacies of uncontrolled therapeutic experience and the need for randomised clinical trials and meta-analyses. It is the main theme of the book that, whenever possible, clinical decisions must be based on the evidence from clinical research, but the authors also explain the pitfalls of such research and the problems involved in applying evidence from groups of patients to the individual patient. For this new edition, the sections on placebo and meta-analysis and on alternative medicine have been thoroughly updated, and there is more focus on insufficient reporting of harms of interventions. The sections on different research designs describe advantages and limitations, and the increased medicalisation and the effects of cancer screening on health people are noted. A section on academic freedom when clinicians collaborate with industry and ghost authors is added. This essential reference work integrates the science and statistical approach of evidence-based medicine with the art and humanism of medical practice; distinguishing between data, sets of data, knowledge and wisdom, and their application. Such an intellectually challenging book is ideal for both medical students and doctors who require theoretical and practical clinical skills to help ensure that they apply theory in practice.
Download or read book A case based approach to decision support written by Nicholas Duncan and published by . This book was released on 1991 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "Decision Support Systems can be improved by enabling them to use past decisions to assist in making present and future decisions. Case-Based Reasoning is an approach to machine learning which is concerned with recalling past situations and applying solutions suggested by these situations to new problems. By applying case-based reasoning techniques to the decision support area, we have been able to build a system that assists analysts in the depreciation analysis field in producing projections of the life of assets. The model of case based decision support at the heart of this system is applicable to many other domains."
Download or read book Principles and Practice of Case based Clinical Reasoning Education written by Olle ten Cate and published by Springer. This book was released on 2017-11-06 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is open access under a CC BY 4.0 license. This volume describes and explains the educational method of Case-Based Clinical Reasoning (CBCR) used successfully in medical schools to prepare students to think like doctors before they enter the clinical arena and become engaged in patient care. Although this approach poses the paradoxical problem of a lack of clinical experience that is so essential for building proficiency in clinical reasoning, CBCR is built on the premise that solving clinical problems involves the ability to reason about disease processes. This requires knowledge of anatomy and the working and pathology of organ systems, as well as the ability to regard patient problems as patterns and compare them with instances of illness scripts of patients the clinician has seen in the past and stored in memory. CBCR stimulates the development of early, rudimentary illness scripts through elaboration and systematic discussion of the courses of action from the initial presentation of the patient to the final steps of clinical management. The book combines general backgrounds of clinical reasoning education and assessment with a detailed elaboration of the CBCR method for application in any medical curriculum, either as a mandatory or as an elective course. It consists of three parts: a general introduction to clinical reasoning education, application of the CBCR method, and cases that can used by educators to try out this method.
Download or read book Case Based Reasoning Research and Development written by Ashwin Ram and published by Springer. This book was released on 2012-02-04 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 19th International Conference on Case-Based Reasoning, held in London, UK, in September 2011. The 32 contributions presented together with 3 invited talks were carefully reviewd and selected from 67 submissions. The presentations and posters covered a wide range of CBR topics of interest both to practitioners and researchers, including CBR methodology covering case representation, similarity, retrieval, and adaptation; provenance and maintenance; recommender systems; multi-agent collaborative systems; data mining; time series analysis; Web applications; knowledge management; legal reasoning; healthcare systems and planning systems.
Download or read book Rational Medical Decision Making A Case Based Approach written by Goutham Rao and published by McGraw Hill Professional. This book was released on 2006-12-08 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: All the key principles of medical decision-making-in one compact, case-based guide "The book provides a comprehensive overview of many core principles in research design and analysis. It is logically organized, with clear learning objectives at the beginning of each chapter and pertinent examples to illustrate key concepts. The author does a wonderful job of simplifying a subject that has caused much confusion for many medical students and physicians....This is a book that I would enthusiastically recommend to other medical students. 5 Stars!"--Doody's Review Service Rational Medical Decision Making: A Case-Based Approach is a hands-on text that clarifies the process of evidence-based medical decision making like no other source. Following the trusted LANGE format, this portable volume is ideal for learning the fundamentals of evidence-based medical practice and skills. Whether you are a student, resident, or a clinician, here is where you'll find all the right tools-including case studies, learning objectives, and self-assessment exercises-to take your decision making skills to the next level. Features Full-spectrum coverage, from basic statistics, medical literature interpretation, and statistics and data application, to different types of research methodologies Case-based orientation in each chapter, featuring cases designed to highlight the important principles discussed in that chapter Focus on learning critical evidence-based medicine concepts, such as Positive Predictive Values, Number-Needed-to-Treat Statistics, Pre Test Probability, Sensitivity and Specificity, and more Engaging discussion of research methods in the context of diagnosis- and therapeutics-centered studies An overview of the construction and evidentiary basis of Clinical Practice Guidelines, with a look at their definition, purpose, and use in aiding patient care decisions “Anatomy of a Research Article” chapter that goes beyond the interpretation of medical literature to describe the process through which articles are published
Download or read book Advances in Case Based Reasoning written by Peter Funk and published by Springer. This book was released on 2004-11-16 with total page 835 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 7th European Conference on Case-Based Reasoning (ECCBR 2004) was held from August 30 through September 2, at the Complutense University of Madrid, Spain. ECCBR was born in Aberdeen, UK (2002), after a series of European workshops held in Trento, Italy(2000), Dublin, Ireland(1998), Lausanne, Switzerland (1996), Paris, France (1994), and Kaiserslautern, Germany (1993). ECCBR is the premier international forum for researchers and practitioners of case-based reasoning (CBR) in the years interleaving with the biennial international counterpart ICCBR, whose 5th edition was held in Trondheim, Norway in 2003. The CBR community has shown for years a deep interest in the application of its research to real-world problems. As a result, the first day of both ECCBR and ICCBR has been traditionally dedicated to presenting industrial CBR complications. ECCBR 2004 Industry Day was co-chaired by Mehmet Göker and Francisco Martín who invited professionals from different fields to describe their fielded CBR systems. The second day of the conference was dedicated to four workshops focusing on the following research interests: CBR in health sciences, explanation in CBR, computational creativity, and CBR applied to time series prediction. We are grateful to the Workshop Program co-chairs, Pablo Gervás and Kalyan Moy Gupta, for their efforts in coordinating these workshops, along with the individual workshop chairs and participants. Materials from the Ind- try Day and the workshops were published separately and can be obtained from the ECCBR 2004 website, http://www. idt. mdh. se/eccbr.
Download or read book Clinical Decision Making written by Denise L. Robinson and published by Lippincott Williams & Wilkins. This book was released on 2002 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: This essential text presents and explains every aspect of clinical decision making, providing a sound base of knowledge for confidence and accuracy. Its format incorporates principles of problem-based learning methods that are used in many nursing programs. The revised Second Edition contains 20 new case studies of the most common diseases and disorders encountered in family practice; each includes a review of all the information necessary for developing a plan of care and emphasizes differential diagnosis and clinical reasoning for the nurse practitioner. The text's problem-oriented format promotes and strengthens critical thinking skills. Additional features include: tutorials; holistic health considerations; case accuracy; laboratory tests that require learners to interpret tests and their impact on a patient's condition; interdisciplinary collaboration; decision trees that are applicable to each case; research-based outcomes; complementary therapies; and much more. A Brandon-Hill Recommended Title.
Download or read book Case Based Reasoning Research and Development written by Sarah Jane Delany and published by Springer. This book was released on 2013-05-31 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 21st International Conference on Case-Based Reasoning Research and Development (ICCBR 2013) held in Saratoga Springs, NY, USA, in July 2013. The 17 revised full papers presented together with 9 posters were carefully reviewed and selected from 39 submissions. The presentations and posters covered a wide range of CBR topics of interest both to researchers and practitioners including case retrieval and adaptation, similarity assessment, case base maintenance, knowledge management, recommender systems, multiagent systems, textual CBR, and applications to healthcare and computer games.
