The extensive research on computer-based medical diagnosis has not had much impact on medical practice because of conflicting results and the apparently high cost of operational systems. The heart of these problems appears to be the unavailability of large amounts of easily retrievable actuarial data needed for the probability estimates about symptom & disease relationships. This paper proposes that computer-based medical diagnosis can become an effective and economically feasible tool through the routine use of appropriately obtained physician probability estimates
This paper addresses the nature of the prior prob-abilities of diseases for probabilistic diagnostic...
In this thesis, evaluation of the development and implementation of a microcomputer-based system for...
As policy makers require more rigorous assessments for the strength of evidence in Theory-Based eval...
The extensive research on computer-based medical diagnosis has not had much impact on medical practi...
Computer-based diagnostic decision support systems (DSS) will play an increasingly important role in...
In recent years, a number of studies of the use of computer programs in diagnosis have been performe...
Statistical pattern-recognition techniques have been frequently applied to the problem of medical di...
This thesis presents DAMOCLES, a quantitative modelling approach to medical diagnosis that addresses...
This study tested the hypothesis that probabilities derived from a large, geograph-ically distant da...
Armed with an overwhelming accumulation of data about disease, how can we ensure that they will all ...
The use of computer statistical analysis and mathematical modeling of medical data in clinical pract...
The increasing trend of systematic collection of medical data (diagnoses, hospital admission emergen...
Ph.D.RadiologyUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.li...
Clinicians and patients typically experience difficulty with the conditional probability reasoning (...
Statistics is the science of collection, summarizing, presentation and interpretation of data. Moreo...
This paper addresses the nature of the prior prob-abilities of diseases for probabilistic diagnostic...
In this thesis, evaluation of the development and implementation of a microcomputer-based system for...
As policy makers require more rigorous assessments for the strength of evidence in Theory-Based eval...
The extensive research on computer-based medical diagnosis has not had much impact on medical practi...
Computer-based diagnostic decision support systems (DSS) will play an increasingly important role in...
In recent years, a number of studies of the use of computer programs in diagnosis have been performe...
Statistical pattern-recognition techniques have been frequently applied to the problem of medical di...
This thesis presents DAMOCLES, a quantitative modelling approach to medical diagnosis that addresses...
This study tested the hypothesis that probabilities derived from a large, geograph-ically distant da...
Armed with an overwhelming accumulation of data about disease, how can we ensure that they will all ...
The use of computer statistical analysis and mathematical modeling of medical data in clinical pract...
The increasing trend of systematic collection of medical data (diagnoses, hospital admission emergen...
Ph.D.RadiologyUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.li...
Clinicians and patients typically experience difficulty with the conditional probability reasoning (...
Statistics is the science of collection, summarizing, presentation and interpretation of data. Moreo...
This paper addresses the nature of the prior prob-abilities of diseases for probabilistic diagnostic...
In this thesis, evaluation of the development and implementation of a microcomputer-based system for...
As policy makers require more rigorous assessments for the strength of evidence in Theory-Based eval...