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Instant Wisdom for GPs Pearls from All the Specialities

Instant Wisdom for GPs Pearls from All the Specialities

Every consultant has pearls of wisdom they wish they could share with GPs: knowledge they have acquired from years of experience and evidence-based study which could lead to improved speed and decision in referral more efficient use of resources and overall better patient care. Instant Wisdom for GPs gathers these pearls together presenting ten bullet-point gems from a comprehensive range of clinical specialties together with advice on obscure or overlooked diagnoses guidance on how to distinguish tricky differentials and tips on prescribing. The content has been thoroughly revised and updated for this second edition. New chapters have been added on alcohol use disorders behavioural problems in children clinical biochemistry emergency presentations genetics and genomics obesity and bariatric medicine and women’s health all from contributors expert in these fields. Key Features: Each specialty chapter offers ten pearls of wisdom with detailed explanation from a leading consultant 'Obscure or overlooked diagnoses’ flag conditions which the GP might not have heard about or might overlook or confuse with others ‘Easily confused’ sections highlight at-a-glance diagnoses which can be challenging to distinguish from each other presented in an easy-to-read table ‘Prescribing points’ in each chapter highlight relevant issues around prescribing including tips warnings and clarifications Fully revised and updated with six new chapters Edited by Keith Hopcroft author of the critically acclaimed Symptom Sorter this practical and accessible guide distils years of knowledge experience and key evidence into 32 concise and easy-to-navigate chapters and is essential reading for trainee and practicing GPs. | Instant Wisdom for GPs Pearls from All the Specialities

GBP 29.99
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GPS for Success Skills Strategies and Secrets of Superachievers

GPS for Success Skills Strategies and Secrets of Superachievers

Next to food and clothing achieving personal and professional success is rated at the very top of the hierarchical order of human needs. Everybody wants to be somebody! In this ultimate success book that includes timeless information for generations to come the author has meticulously chronicled proven skills strategies and secrets that if regularly followed will empower the reader to live the life that they imagine. Just like your car’s or phone’s GPS these life navigation skills can get you from where you are to where you want to go in your career. In addition critically important knowledge and abilities including job interviewing must-know people skills writing and public speaking are covered. In this book the author has scoured the world’s literature on these topics and interviewed highly successful people to provide one-stop shopping regarding the most proven and practical recommendations for future career success. He has also peppered the text with personal experiences and motivational/inspirational success stories as well as testimonials/sage advice/quotes from the world’s most successful people -past and present. The key objectives of this book are to: Highlight the foundational factors underlying future career success: love what you do; realize that your behaviors largely determine your luck in life; emphasize that highly successful people take 100% responsibility for their actions and destiny; and that the secret to success involves the selfless serving of others. The rewards return—through a boomerang effect. Provide specific examples and inspirational stories highlighting 10 critical behavioral skills for success. These include: look for the good in people and situations; how to activate the law of attraction; establish goals in writing (if it’s not on paper it’s vapor); take action (#1 success characteristic); know that persistence pays; ask for things you want; enhance your speaking writing and interviewing skills; why it’s important to work with and learn from people you want to emulate; the essence of superb people skills (e. g. integrity making others feel important); and to regularly apply the law of sow and reap. Detail complementary approaches tactics and perspectives that can help you achieve your breakthrough (major) life goals. These include: time management skills and the 80/20 rule; looking for greener pastures; showcasing your talents (visibility → opportunities); committing to never-ending improvements in performance service (or products); embracing discipline/focus/sacrifice; routinely exceeding people’s expectations; striving for greater rewards; and seeing an ocean of opportunities before you. In aggregate these yield BIG rewards in life. Provide a potpourri of related topics including unlooked-for opportunities; leadership and bringing out the best in those around you; avoiding overcautiousness; volunteering (raising your hand); reframing future commitments; the power (and magic) of an unexpected thank you note; and the disproportionate dividends and good karma that result from giving back and mentoring others. | GPS for Success Skills Strategies and Secrets of Superachievers

GBP 24.99
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A Guide to Supporting Breastfeeding for the Medical Profession

Consulting in a Nutshell A practical guide to successful general practice consultations before during and beyond the MRCGP

Consulting in a Nutshell A practical guide to successful general practice consultations before during and beyond the MRCGP

‘…a unique book written by a unique GP. There is no-one better placed to pull together decades of learning and experience on how to achieve the greatest success in the general practice consultation. The relaxed pace of writing the accessible examples the clear narrative and the engaging anecdotes make this a resource that it is accessible and useful to all who seek to improve their clinical consulting skills. ’ Helen Stokes-Lampard former Chair of the Royal College of General Practitioners This brand-new book aims to help GPs establish ways of thinking talking and behaving in the consultation that are most likely to lead to good outcomes. It describes a simple three-part approach to the consultation’s essential task which is to convert a patient’s problem into a plan acceptable to both patient and doctor. It combines reader-friendly explanations helpful illustrations and examples from everyday practice. Key features: Written by a respected GP teacher and author of the highly-regarded trilogy The Inner Consultation The Inner Apprentice and The Inner Physician Gives GPs a framework for consulting that is easy to remember comprehensive adaptable robust exam-friendly and quickly becomes second nature Identifies and addresses key areas of anxiety for GP trainees and MRCGP candidates including ‘How do I complete in 10 minutes?’ ‘How do I deal with difficult patients?’ and ‘What do I do when it all goes pear-shaped and I don’t know what to do?’ Gives advice and practical suggestions for how to make the difficult transition from theory to practice from reading about the consultation to actually doing it better in real life Consulting in a Nutshell will help GPs at every career stage – from medical student to CSA candidate to experienced practitioner – to analyse develop and grow their personal consulting style. Coming at a time of profound change in primary care it aims to ensure that seeing patients and having good consultations becomes and remains a source of satisfaction and fulfilment. The author:Roger Neighbour is a retired GP former Convenor of the Panel of MRCGP Examiners and past President Royal College of General Practitioners UK. | Consulting in a Nutshell A practical guide to successful general practice consultations before during and beyond the MRCGP

GBP 26.99
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Spatial Statistics GeoSpatial Information Modeling and Thematic Mapping

Spatial Statistics GeoSpatial Information Modeling and Thematic Mapping

Geospatial information modeling and mapping has become an important tool for the investigation and management of natural resources at the landscape scale. Spatial Statistics: GeoSpatial Information Modeling and Thematic Mapping reviews the types and applications of geospatial information data such as remote sensing geographic information systems (GIS) and GPS as well as their integration into landscape-scale geospatial statistical models and maps. The book explores how to extract information from remotely sensed imagery GIS and GPS and how to combine this with field data—vegetation soil and environmental—to produce a spatial model that can be reconstructed and displayed using GIS software. Readers learn the requirements and limitations of each geospatial modeling and mapping tool. Case studies with real-life examples illustrate important applications of the models. Topics covered in this book include:An overview of the geospatial information sciences and technology and spatial statistics Sampling methods and applications including probability sampling and nonrandom sampling and issues to consider in sampling and plot design Fine and coarse scale variabilitySpatial sampling schemes and spatial patternLinear and spatial correlation statistics including Moran’s I Geary’s C cross-correlation statistics and inverse distance weightingGeospatial statistics analysis using stepwise regression ordinary least squares (OLS) variogram kriging spatial auto-regression binary classification trees cokriging and geospatial models for presence and absence data How to use R statistical software to work on statistical analyses and case studies and to develop a geospatial statistical model | Spatial Statistics GeoSpatial Information Modeling and Thematic Mapping

GBP 42.99
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Take Charge General Surgery and Urology A practical guide to patient management

General Practice Today A Practical Guide to Modern Consultations

Uncertainty and Context in GIScience and Geography Challenges in the Era of Geospatial Big Data

Uncertainty and Context in GIScience and Geography Challenges in the Era of Geospatial Big Data

Uncertainty and context pose fundamental challenges in GIScience and geographic research. Geospatial data are imbued with errors (e. g. measurement and sampling) and various types of uncertainty that often obfuscate any understanding of the effects of contextual or environmental influences on human behaviors and experiences. These errors or uncertainties include those attributable to geospatial data measurement model specifications delineations of geographic context in space and time and the use of different spatiotemporal scales and zonal schemes when analyzing the effects of environmental influences on human behaviors or experiences. In addition emerging sources of geospatial big data – including smartphone data data collected by GPS and various types of wearable sensors (e. g. accelerometers and air pollutant monitors) volunteered geographic information and/ or location- based social media data (i. e. crowd- sourced geographic information) – inevitably contain errors and their quality cannot be fully controlled during their collection or production. Uncertainty and Context in GIScience and Geography: Challenges in the Era of Geospatial Big Data illustrates how cutting- edge research explores recent advances in this area and will serve as a useful point of departure for GIScientists to conceive new approaches and solutions for addressing these challenges in future research. The seven core chapters in this book highlight many challenges and opportunities in confronting various issues of uncertainty and context in GIScience and geography tackling different topics and approaches. The chapters in this book were originally published as a special issue of the International Journal of Geographical Information Science. | Uncertainty and Context in GIScience and Geography Challenges in the Era of Geospatial Big Data

GBP 38.99
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A First Course in Machine Learning

A First Course in Machine Learning

A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision with accessibility starts from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings and goes all the way to the frontiers of the subject such as infinite mixture models GPs and MCMC. —Devdatt Dubhashi Professor Department of Computer Science and Engineering Chalmers University Sweden This textbook manages to be easier to read than other comparable books in the subject while retaining all the rigorous treatment needed. The new chapters put it at the forefront of the field by covering topics that have become mainstream in machine learning over the last decade. —Daniel Barbara George Mason University Fairfax Virginia USA The new edition of A First Course in Machine Learning by Rogers and Girolami is an excellent introduction to the use of statistical methods in machine learning. The book introduces concepts such as mathematical modeling inference and prediction providing ‘just in time’ the essential background on linear algebra calculus and probability theory that the reader needs to understand these concepts. —Daniel Ortiz-Arroyo Associate Professor Aalborg University Esbjerg Denmark I was impressed by how closely the material aligns with the needs of an introductory course on machine learning which is its greatest strength…Overall this is a pragmatic and helpful book which is well-aligned to the needs of an introductory course and one that I will be looking at for my own students in coming months. —David Clifton University of Oxford UK The first edition of this book was already an excellent introductory text on machine learning for an advanced undergraduate or taught masters level course or indeed for anybody who wants to learn about an interesting and important field of computer science. The additional chapters of advanced material on Gaussian process MCMC and mixture modeling provide an ideal basis for practical projects without disturbing the very clear and readable exposition of the basics contained in the first part of the book. —Gavin Cawley Senior Lecturer School of Computing Sciences University of East Anglia UK This book could be used for junior/senior undergraduate students or first-year graduate students as well as individuals who want to explore the field of machine learning…The book introduces not only the concepts but the underlying ideas on algorithm implementation from a critical thinking perspective. —Guangzhi Qu Oakland University Rochester Michigan USA

GBP 39.99
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