@inproceedings{585f0c8e120840e59a3b95ba42b5b03e,
title = "Pilot study: Agent-based exploration of complex data in a hospital environment",
abstract = "We present the results of a pilot study created to explore a sub-set of complex data, utilizing an agent-based model simulation tool. These results center on data taken from hospital admission records, tracking patient attributes and how they relate to patient outcomes. The focus of this work is to highlight three design principles: 1) using an iterative process between the modeling of a system and the grounding of that simulation with real-world data; 2) a focus on agent primitives, emphasizing bottom-up emergence of effects, rather than topdown control; and 3) integration of various {"}theories{"} of patient care and hospital effectiveness as a method for experimentation with Complex Adaptive Systembased data mining.",
keywords = "Agents, Complex Adaptive Systems, Data Mining, Machine Learning",
author = "Ted Carmichael and Mirsad Hadzikadic and Ognjen Gajic",
year = "2010",
doi = "10.1007/978-3-642-15420-1_3",
language = "English (US)",
isbn = "3642154190",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "16--26",
booktitle = "Agents and Data Mining Interaction - 6th International Workshop on Agents and Data Mining Interaction, ADMI 2010, Revised Selected Papers",
note = "6th International Workshop on Agents and Data Mining Interaction, ADMI 2010 ; Conference date: 11-05-2010 Through 11-05-2010",
}