International Journal of Man-Machine Studies - Special Issue: Knowledge Acquisition for Knowledge-based Systems. Part 5
Can AI planners solve practical problems?
Computational Intelligence
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
C4.5: programs for machine learning
C4.5: programs for machine learning
Genetic and evolutionary algorithms come of age
Communications of the ACM
Decision trees based on automatic learning and their use in cardiology
Journal of Medical Systems
Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms
Genetic Algorithm Based System for Patient Scheduling in Highly Constrained Situations
CBMS'97 Proceedings of the 10th conference on Computer based medical systems
Estimating Hospital Inefficiency: Does Case Mix Matter?
Journal of Medical Systems
Trends in Hospital Efficiency Among Metropolitan Markets
Journal of Medical Systems
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Evolutionary Algorithms in Engineering Applications
Evolutionary Algorithms in Engineering Applications
A Hybrid Genetic Algorithm for Highly Constrained Timetabling Problems
Proceedings of the 6th International Conference on Genetic Algorithms
General Cooling Schedules for a Simulated Annealing Based Timetabling System
Selected papers from the First International Conference on Practice and Theory of Automated Timetabling
Planning and Scheduling Patient Tests in Hospital Laboratories
AIME '97 Proceedings of the 6th Conference on Artificial Intelligence in Medicine in Europe
Planning with sharable resource constraints
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Decision Trees: An Overview and Their Use in Medicine
Journal of Medical Systems
Improving the reliability of medical software by predicting the dangerous software modules
Journal of Medical Systems - Special issue: Computer-based medical systems
A framework for application of neuro-case-rule base hybridization in medical diagnosis
Applied Soft Computing
Medical diagnostic process optimization through the semantic integration of data resources
Computer Methods and Programs in Biomedicine
SMO'09 Proceedings of the 9th WSEAS international conference on Simulation, modelling and optimization
Knowledge discovery with classification rules in a cardiovascular dataset
Computer Methods and Programs in Biomedicine
Improved mining of software complexity data on evolutionary filtered training sets
WSEAS Transactions on Information Science and Applications
Expert Systems with Applications: An International Journal
Expert-assisted classification rules extraction algorithm
ADBIS'10 Proceedings of the 14th east European conference on Advances in databases and information systems
Computer Methods and Programs in Biomedicine
Using experts feedback in clinical case resolution and arbitration as accuracy diagnosis methodology
Computers in Biology and Medicine
Load-sensitive dynamic workflow re-orchestration and optimisation for faster patient healthcare
Computer Methods and Programs in Biomedicine
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Efficiency in hospital performance is becoming more and more important. Studies showed that diagnosis can considerably reduce the inefficiency, so one of the most important tasks in achieving greater hospital efficiency is to optimize the diagnostic process. For the best of the patient the diagnostic process has to be optimized regarding the number of the examinations and individualized in order to maximize accuracy, sensitivity and specificity. In addition the duration of the diagnostic process has to be minimized and the process has to be performed on the most reliable equipment. The main contribution of our paper is the introduction of the integrated computerized environment DIAPRO enabling the diagnostic process optimization. The DIAPRO is based on a single approach—evolutionary algorithms.