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Clinical Practice Guidelines We Can Trust
Advances in medical, biomedical and health services research have reduced the level of uncertainty in clinical practice. Clinical practice guidelines (CPGs) complement this progress by establishing standards of care backed by strong scientific evidence. CPGs are statements that include recommendations intended to optimize patient care. These statements are informed by a systematic review of evidence and an assessment of the benefits and costs of alternative care options. Clinical Practice Guidelines We Can Trust examines the current state of clinical practice guidelines and how they can be improved to enhance healthcare quality and patient outcomes. Clinical practice guidelines now are ubiqu...
Statistical and Probabilistic Methods in Actuarial Science
Statistical and Probabilistic Methods in Actuarial Science covers many of the diverse methods in applied probability and statistics for students aspiring to careers in insurance, actuarial science, and finance. The book builds on students' existing knowledge of probability and statistics by establishing a solid and thorough understanding of
CLAT AILET PREVIOUS PAPERS AND PRACTICE SETS For all common law entrance exams
CLAT AILET PREVIOUS PAPERS AND PRACTICE SETS For all common law entrance exams clat and llb entrance book, CLAT LLB, L.L.B.,LLB., CLAT, clat ailet previous year papers, clat ailet past year solved papers, clat ailet du law set law pu law entrance exam, law , ap bhardwaj legal aptitude legal reasoning, Legal Awareness & Legal Reasoning (LA & LR)
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Introduction to Computational Biology
Biology is in the midst of a era yielding many significant discoveries and promising many more. Unique to this era is the exponential growth in the size of information-packed databases. Inspired by a pressing need to analyze that data, Introduction to Computational Biology explores a new area of expertise that emerged from this fertile field- the combination of biological and information sciences. This introduction describes the mathematical structure of biological data, especially from sequences and chromosomes. After a brief survey of molecular biology, it studies restriction maps of DNA, rough landmark maps of the underlying sequences, and clones and clone maps. It examines problems assoc...
Advances in Soft Computing
This two-volume set LNAI 6437 and 6438 constitutes the refereed proceedings of the 9th Mexican International Conference on Artificial Intelligence, MICAI 2010, held in Pachuca, Mexico, in November 2010. Based on rigorous peer reviews, the program committee carefully selected 82 revised papers from 301 submissions for presentation in two volumes. The second volume includes 44 papers focusing on soft computing. The papers are organized in topical sections on machine learning and pattern recognition; automatic learning for natural language processing; evolutionary algorithms and other naturally-inspired algorithms; hybrid intelligent systems and neural networks; and fuzzy logic.
Improving Diagnosis in Health Care
Getting the right diagnosis is a key aspect of health care - it provides an explanation of a patient's health problem and informs subsequent health care decisions. The diagnostic process is a complex, collaborative activity that involves clinical reasoning and information gathering to determine a patient's health problem. According to Improving Diagnosis in Health Care, diagnostic errors-inaccurate or delayed diagnoses-persist throughout all settings of care and continue to harm an unacceptable number of patients. It is likely that most people will experience at least one diagnostic error in their lifetime, sometimes with devastating consequences. Diagnostic errors may cause harm to patients...
