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Diagnosis
Diagnosis (: diagnoses) is the identification of the nature and cause of a certain phenomenon. Diagnosis is used in a lot of different academic discipline, disciplines, with variations in the use of logic, analytics, and experience, to determine "causality, cause and effect". In systems engineering and computer science, it is typically used to determine the causes of symptoms, mitigations, and solutions. Computer science and networking * Bayesian network * Complex event processing * Diagnosis (artificial intelligence) * Event correlation * Fault management * Fault tree analysis * Grey problem * RPR problem diagnosis * Remote diagnostics * Root cause analysis * Troubleshooting * Unified Diagnostic Services Mathematics and logic * Bayesian probability * Hickam's dictum, Block Hackam's dictum * Occam's razor * Regression analysis#Regression diagnostics, Regression diagnostics * Sutton's law Medicine * Medical diagnosis * Molecular diagnostics Methods * CDR computerized assessment ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Medical Diagnosis
Medical diagnosis (abbreviated Dx, Dx, or Ds) is the process of determining which disease or condition explains a person's symptoms and signs. It is most often referred to as a diagnosis with the medical context being implicit. The information required for a diagnosis is typically collected from a history and physical examination of the person seeking medical care. Often, one or more diagnostic procedures, such as medical tests, are also done during the process. Sometimes the posthumous diagnosis is considered a kind of medical diagnosis. Diagnosis is often challenging because many signs and symptoms are nonspecific. For example, redness of the skin ( erythema), by itself, is a sign of many disorders and thus does not tell the healthcare professional what is wrong. Thus differential diagnosis, in which several possible explanations are compared and contrasted, must be performed. This involves the correlation of various pieces of information followed by the recognition and d ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Differential Diagnosis
In healthcare, a differential diagnosis (DDx) is a method of analysis that distinguishes a particular disease or condition from others that present with similar clinical features. Differential diagnostic procedures are used by clinicians to diagnose the specific disease in a patient, or, at least, to consider any imminently life-threatening conditions. Often, each possible disease is called a differential diagnosis (e.g., acute bronchitis could be a differential diagnosis in the evaluation of a cough, even if the final diagnosis is common cold). More generally, a differential diagnostic procedure is a systematic diagnostic method used to identify the presence of a disease entity where multiple alternatives are possible. This method may employ algorithms, akin to the process of elimination, or at least a process of obtaining information that decreases the "probabilities" of candidate conditions to negligible levels, by using evidence such as symptoms, patient history, and medi ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Computer-aided Diagnosis
Computer-aided detection (CADe), also called computer-aided diagnosis (CADx), are systems that assist doctors in the interpretation of medical imaging, medical images. Imaging techniques in X-ray, MRI, endoscopy, and Medical ultrasound, ultrasound diagnostics yield a great deal of information that the Radiology, radiologist or other medical professional has to analyze and evaluate comprehensively in a short time. CAD systems process digital images or videos for typical appearances and to highlight conspicuous sections, such as possible diseases, in order to offer input to support a decision taken by the professional. CAD also has potential future applications in digital pathology with the advent of whole-slide imaging and machine learning algorithms. So far its application has been limited to quantifying immunostaining but is also being investigated for the standard H&E stain. CAD is an interdisciplinary technology combining elements of artificial intelligence and computer visi ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Diagnosis (artificial Intelligence)
As a subfield in artificial intelligence, diagnosis is concerned with the development of algorithms and techniques that are able to determine whether the behaviour of a system is correct. If the system is not functioning correctly, the algorithm should be able to determine, as accurately as possible, which part of the system is failing, and which kind of fault it is facing. The computation is based on ''observations'', which provide information on the current behaviour. The expression ''diagnosis'' also refers to the answer of the question of whether the system is malfunctioning or not, and to the process of computing the answer. This word comes from the medical context where a diagnosis is the process of identifying a disease by its symptoms. Example An example of diagnosis is the process of a garage mechanic with an automobile. The mechanic will first try to detect any abnormal behavior based on the observations on the car and his knowledge of this type of vehicle. If he ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Retrospective Diagnosis
A retrospective diagnosis (also retrodiagnosis or posthumous diagnosis) is the practice of identifying an illness after the death of the patient (sometimes a historical figure) using modern knowledge, methods and disease classifications. Alternatively, it can be the more general attempt to give a modern name to an ancient and ill-defined scourge or plague. Historical research Retrospective diagnosis is practised by medical historians, general historians and the media with varying degrees of scholarship. At its worst it may become "little more than a game, with ill-defined rules and little academic credibility". The process often requires "translating between linguistic and conceptual worlds separated by several centuries", and assumes our modern disease concepts and categories are privileged. Crude attempts at retrospective diagnosis fail to be sensitive to historical context, may treat historical and religious records as scientific evidence, or ascribe pathology to behaviours tha ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Molecular Diagnostics
Molecular diagnostics is a collection of techniques used to analyze biological markers in the genome and proteome, and how their cells express their genes as proteins, applying molecular biology to medical tests, medical testing. In medicine the technique is used to diagnose and monitor disease, detect risk, and decide which therapies will work best for individual patients, and in agricultural biosecurity similarly to monitor crop disease, crop- and livestock disease, estimate risk, and decide what quarantine measures must be taken. By analysing the specifics of the patient and their disease, molecular diagnostics offers the prospect of Personalized medicine, personalised medicine. These tests are useful in a range of medical specialties, including infectious disease, oncology, human leucocyte antigen typing (which investigates and predicts immune function), coagulation, and pharmacogenomicsthe genetic prediction of which drugs will work best. They overlap with clinical chemistr ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Troubleshooting
Troubleshooting is a form of problem solving, often applied to repair failed products or processes on a machine or a system. It is a logical, systematic search for the source of a problem in order to solve it, and make the product or process operational again. Troubleshooting is needed to identify the symptoms. Determining the most likely cause is a process of elimination—eliminating potential causes of a problem. Finally, troubleshooting requires confirmation that the solution restores the product or process to its working state. A strategy is an organized set of activities expressing a plausible way of achieving a goal. Strategies should not be viewed as algorithms, inflexibly followed to solutions. Problem solvers behave opportunistically, adjusting activities within a strategy and changing strategies and tactics in response to information and ideas. Diagnostics In general, troubleshooting is the identification or diagnosis of "trouble" in the management flow of a sys ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Diagnosis Result
Diagnosis (: diagnoses) is the identification of the nature and cause of a certain phenomenon. Diagnosis is used in a lot of different disciplines, with variations in the use of logic, analytics, and experience, to determine " cause and effect". In systems engineering and computer science, it is typically used to determine the causes of symptoms, mitigations, and solutions. Computer science and networking * Bayesian network * Complex event processing * Diagnosis (artificial intelligence) * Event correlation * Fault management * Fault tree analysis * Grey problem * RPR problem diagnosis * Remote diagnostics * Root cause analysis * Troubleshooting * Unified Diagnostic Services Mathematics and logic * Bayesian probability * Block Hackam's dictum * Occam's razor * Regression diagnostics * Sutton's law Medicine * Medical diagnosis * Molecular diagnostics Methods * CDR computerized assessment system * Computer-aided diagnosis * Differential diagnosis * Retrospective diag ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Sutton's Law
Sutton's law states that when diagnosing, one should first consider the obvious. It suggests that one should first conduct those tests which could confirm (or rule out) the most likely diagnosis. It is taught in medical schools to suggest to medical students that they might best order tests in that sequence which is most likely to result in a quick diagnosis, hence treatment, while minimizing unnecessary costs. It is also applied in pharmacology, when choosing a drug to treat a specific disease you want the drug to reach the disease. It is applicable to any process of diagnosis, e.g. debugging computer programs. Computer-aided diagnosis provides a statistical and quantitative approach. A more thorough analysis will consider the false positive rate of the test and the possibility that a less likely diagnosis might have more serious consequences. A competing principle is the idea of performing simple tests before more complex and expensive tests, moving from bedside tests to blood r ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
RPR Problem Diagnosis
Rapid problem resolution diagnosis (or RPR diagnosis) is a method of problem diagnosis designed to determine the root cause of IT problems. History The method was originally developed by Advance7 in 1990 as Advanced Network Troubleshooting, with the first fully documented version produced in 1995. Early versions included problem management guidance but this was removed over time as the method became more closely aligned to ITIL, and the method name was changed to Rapid Problem Resolution (RPR). RPR is now focused on Problem Diagnosis based on Root Cause Identification. Due to the highly practical nature of the Supporting Techniques and the ever changing IT landscape, Advance7 continues to develop RPR to keep it relevant to current IT environments. Until November 2007 Advance7 made the RPR material available to its employees only, although a limited number of other IT professionals had been trained in the use of the method. In late 2007 the company announced its intention to mak ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Root Cause Analysis
In science and engineering, root cause analysis (RCA) is a method of problem solving used for identifying the root causes of faults or problems. It is widely used in IT operations, manufacturing, telecommunications, industrial process control, accident analysis (e.g., in aviation, rail transport, or nuclear plants), medical diagnosis, the healthcare industry (e.g., for epidemiology), etc. Root cause analysis is a form of inductive inference (first create a theory, or ''root'', based on empirical evidence, or ''causes'') and deductive inference (test the theory, i.e., the underlying causal mechanisms, with empirical data). RCA can be decomposed into four steps: # Identify and describe the problem clearly # Establish a timeline from the normal situation until the problem occurrence # Distinguish between the root cause and other causal factors (e.g., via event correlation) # Establish a causal graph between the root cause and the problem. RCA generally serves as input to a r ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Grey Problem
In IT, a grey problem (or, gray problem) is a problem where the causing technology is unknown or unconfirmed. Common grey problems are: * Intermittent errors; * Intermittent incorrect output, or; * Transient performance problems. Because the causing technology is not clear, IT departments often find it difficult to allocate the problem to a Technical Support Team (platform team). Background Combining frequency and causing technology information can provide a view of the complexity of a problem and so indicate how difficult it will be to investigate (see Figure 1). The problems in each quadrant have certain characteristics: ;Quadrant 1: In a typical IT department 80 to 90% of problems are solid faults that are easily tracked down to a causing technology. The appropriate technical or platform support team efficiently deals with these problems every day. ;Quadrant 2: Some recurring problems are due to a Known Error, or are obviously being caused by a particular hardware or so ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
