Medical Diagnosis Using Neural Networks
By Norsarini Salim
Norsarini Salim (84651) ...
diagnosis 1. a finite classification problem involving a predetermined set of possible diseases or malfunctions. 2.
Medical Diagnosis
May 15, 2010: An X-Prize for Medical Diagnosis has been announced by the X-Prize Foundation.
Diagnosis
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Model-based reasoning at Utrecht University
NASA Intelligent Systems Division ...
In medical diagnosis and in forensics or scientific investigation of a condition, a hypothetical cause is implicated when a reason for the condition can be found, given that cause.
Automated Diagnosis Systems
Most diagnosis work is done by expert humans such as mechanics, engineers, doctors, firemen, customer service agents, and analysts of various kinds.
Hypothesis/Goal: Diagnosis (influenza)
Execution:
R1 fires since the goal, diagnosis(influenza), matches the conclusion of that rule. New goals are created: (nasal congestion) and (viremia) and backchaining is recursively called with these new goals.
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. ...
The Smart Medical Database (SMDB) addresses a need for an immediate, practical way for a doctor to compare treatment choices and relative outcomes for large numbers (1000 or so) of patients to support a well founded diagnosis from a readily ...
Although there are some fairly pure applications of AI -- such as industrial robots, or the IntellipathTM pathology diagnosis system recently approved by the American Medical Association and deployed in hundreds of hospitals worldwide -- for the most ...
A good example would be disease diagnosis. Perhaps 90% of patients routinely tested are clear of a disease. A network is trained on an available data set with a 90/10 split.
A Genetic Approach Methodology for Knowledge Acquisition for Intelligent Diagnosis is a project done by CEEP (Center for Engineering Education and Practice), University of Michigan-Dearborn, to develop diagnosis knowledge for robot arm movements.
The next major effort was in the area of medical diagnosis. Feigenbaum, Buchanan, and Dr. Edward Shortliffe developed MYCIN to diagnose blood infections.
Preimplantation Genetic Diagnosis
Preimplantation genetic diagnosis (PGD) is a potentially very powerful technique made available by IVF treatment and the development of genetic sequencing tools.
Symbolic concept induction,knowledge acquisition systems, Quinlan's ID3; Michalski's AQ and soybean diagnosis results, Scientific discovery with BACON, mathematical discovery with AM.
I think these 17 criteria for consciousness over complicate a diagnosis. Consciousness is more fundamental then these 17 criteria and can be defined in a much similar statement.
Prediction is reasoning forward in time from causes to effects. Diagnosis is reasoning backward from effects to causes.
For example, neural networks have been used to predict financial markets and make medical diagnosis.
2. Inference techniques may be specific to a particular task, such as diagnosis of hardware configuration. Other techniques may be committed only to a particular processing technique.
This has applications in fault diagnosis, robot localization, computational biology, speech understanding and many other areas.
The Critic-Selector model suggests that each person can recognize particular ways in which one gets stuck-and can use each such diagnosis to select one or more particular ways to deal with that kind of predicament.
Expert System A special program that resembles a collection of ``if ... then'' rules. The rules usually represent knowledge contained by a domain expert (such as a physician adept at diagnosis) and can be used to simulate how a human expert would ...
Among the non-classical AI problems, the diagnosis problems and the pattern classification problem need special mention. For solving an AI problem, one may employ both artificial intelligence and non-AI algorithms.
The company says the next step is to test the system with patients suffering from amyotrophic lateral sclerosis, or ALS, also known as Lou Gehrig's disease, named after the New York Yankee who retired in 1939 after his diagnosis and died two years ...
far ahead, examining all possible moves and countermoves, looking for a sequence that will leave its pieces in the most advantageous position. Other successes for symbolic AI occurred rapidly in similarly restricted domains such as medical diagnosis, ...
 See also: Artificial intelligence, Knowledge, AI, Neural network, Machine learning
  
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