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Found 6 papers, 0 papers with code
Assessment of cognitive characteristics in intelligent systems and predictive ability
The article proposes a universal dual-axis intelligent systems assessment scale.
Extending Process Discovery with Model Complexity Optimization and Cyclic States Identification: Application to Healthcare Processes
A case study also investigates the use of various complexity measures and different ways of solution application providing insights on better practices in improving interpretability and complexity/fitness balance in process models.
Why Machine Learning Integrated Patient Flow Simulation?
Patient flow analysis can be studied from a clinical and or operational perspective using simulation.
Three-stage intelligent support of clinical decision making for higher trust, validity, and explainability
The paper presents an approach for building consistent and applicable clinical decision support systems (CDSSs) using a data-driven predictive model aimed at resolving the problem of low applicability and scalability of CDSSs in real-world applications.
Surrogate-assisted performance prediction for data-driven knowledge discovery algorithms: application to evolutionary modeling of clinical pathways
The paper proposes and investigates an approach for surrogate-assisted performance prediction of data-driven knowledge discovery algorithms.
Analysis of Computational Science Papers from ICCS 2001-2016 using Topic Modeling and Graph Theory
This paper presents results of topic modeling and network models of topics using the International Conference on Computational Science corpus, which contains domain-specific (computational science) papers over sixteen years (a total of 5695 papers).
