Add to ORKGClinicians and patients typically experience difficulty with the conditional probability reasoning (Bayes Theorem) required to make inferences about health states on the basis of diagnostic test results. This problem will grow in importance as we move into the era of personalized medicine where an increasing supply of imprecise diagnostic tests meets an increasing demand to use such tests on the part of intelligent but statistically innumerate clinicians and patients. We describe a user friendly, interactive, graphical software interface for calculating, visualizing, and communicating accurate inferences about uncertain health states when diagnostic information (test sensitivity and specificity, and health state prevalence) is relatively im...
Issues in imaging, screening, and information processing discussed in a special issue of this Journa...
Most of the current medical diagnosis support systems are based on a textual design. In this thesis ...
thesisA program, called Aerostat, that automates the process of generating the disease symptom proba...
People have difficulty reasoning with diagnostic information in uncertain situations, especially whe...
The extensive research on computer-based medical diagnosis has not had much impact on medical practi...
The increasing trend of systematic collection of medical data (diagnoses, hospital admission emergen...
Given knowledge of a test\u27s sensitivity and specificity, physicians may use Bayes\u27 theorem to ...
AbstractEffective handling of uncertainty is one of the central problems in medical decision making....
Computer science and machine learning in particular are increasingly lauded for their potential to a...
In recent years, a number of studies of the use of computer programs in diagnosis have been performe...
Computer-based diagnostic decision support systems (DSS) will play an increasingly important role in...
Statistical pattern-recognition techniques have been frequently applied to the problem of medical di...
Common periodical health check-ups include several clinical test items with affordable cost. However...
The increasing trend of systematic collection of medical data (diagnoses, hospital admission emergen...
Bayesian networks have proven their value in solving complex diagnostic problems. The main bottlenec...
Issues in imaging, screening, and information processing discussed in a special issue of this Journa...
Most of the current medical diagnosis support systems are based on a textual design. In this thesis ...
thesisA program, called Aerostat, that automates the process of generating the disease symptom proba...
People have difficulty reasoning with diagnostic information in uncertain situations, especially whe...
The extensive research on computer-based medical diagnosis has not had much impact on medical practi...
The increasing trend of systematic collection of medical data (diagnoses, hospital admission emergen...
Given knowledge of a test\u27s sensitivity and specificity, physicians may use Bayes\u27 theorem to ...
AbstractEffective handling of uncertainty is one of the central problems in medical decision making....
Computer science and machine learning in particular are increasingly lauded for their potential to a...
In recent years, a number of studies of the use of computer programs in diagnosis have been performe...
Computer-based diagnostic decision support systems (DSS) will play an increasingly important role in...
Statistical pattern-recognition techniques have been frequently applied to the problem of medical di...
Common periodical health check-ups include several clinical test items with affordable cost. However...
The increasing trend of systematic collection of medical data (diagnoses, hospital admission emergen...
Bayesian networks have proven their value in solving complex diagnostic problems. The main bottlenec...
Issues in imaging, screening, and information processing discussed in a special issue of this Journa...
Most of the current medical diagnosis support systems are based on a textual design. In this thesis ...
thesisA program, called Aerostat, that automates the process of generating the disease symptom proba...