INTERACTIVE VISUAL ANALYSIS OF INTENSIVE CARE UNIT DATA: Relationship Between Serum Sodium Concentration, its Rate of Change, and Survival Outcome

Kresimir Matkovic, H. Gan, Andreas Ammer, D. Bennett, Werner Purgathofer, Marius Terblanche
INTERACTIVE VISUAL ANALYSIS OF INTENSIVE CARE UNIT DATA: Relationship Between Serum Sodium Concentration, its Rate of Change, and Survival Outcome
In Proceeding of IVAAP 2012, pages 648-659. February 2012.
[Paper]

Information

Abstract

In this paper we present a case study of interactive visual analysis and exploration of a large ICU data set. The data consists of patients’ records containing scalar data representing various patients’ parameters (e.g. gender, age, weight), and time series data describing logged parameters over time (e.g. heart rate, blood pressure). Due to the size and complexity of the data, coupled with limited time and resources, such ICU data is often not utilized to its full potential, although its analysis could contribute to a better understanding of physiological, pathological and therapeutic processes, and consequently lead to an improvement of medical care. During the exploration of this data we identified several analysis tasks and adapted and improved a coordinated multiple views system accordingly. Besides a curve view which also supports time series with gaps, we introduced a summary view which allows an easy comparison of subsets of the data and a box plot view in a coordinated multiple views setup. Furthermore, we introduced an inverse brush, a secondary brush which automatically selects non-brushed items, and updates itself accordingly when the original brush is modified. The case study describes how we used the system to analyze data from 1447 patients from the ICU at Guy’s & St. Thomas’ NHS Foundation Trust in London. We were interested in the relationship between serum sodium concentration, its rate of change and their effect on ICU mortality rates. The interactive visual analysis led us to findings which were fascinating for medical experts, and which would be very difficult to discover using conventional analysis methods usually applied in the medical field. The overall feedback from domain experts (coauthors of the paper) is very positive.

Additional Files and Images

Weblinks

No further information available.

BibTeX

@inproceedings{Purgathofer_2012_IVA,
  title =      "INTERACTIVE VISUAL ANALYSIS OF INTENSIVE CARE UNIT DATA:
               Relationship Between Serum Sodium Concentration, its Rate of
               Change, and Survival Outcome",
  author =     "Kresimir Matkovic and H. Gan and Andreas Ammer and D.
               Bennett and Werner Purgathofer and Marius Terblanche",
  year =       "2012",
  abstract =   "In this paper we present a case study of interactive visual
               analysis and exploration of a large ICU data set. The data
               consists of patients’ records containing scalar data
               representing various patients’ parameters (e.g. gender,
               age, weight), and time series data describing logged
               parameters over time (e.g. heart rate, blood pressure). Due
               to the size and complexity of the data, coupled with limited
               time and resources, such ICU data is often not utilized to
               its full potential, although its analysis could contribute
               to a better understanding of physiological, pathological and
               therapeutic processes, and consequently lead to an
               improvement of medical care. During the exploration of this
               data we identified several analysis tasks and adapted and
               improved a coordinated multiple views system accordingly.
               Besides a curve view which also supports time series with
               gaps, we introduced a summary view which allows an easy
               comparison of subsets of the data and a box plot view in a
               coordinated multiple views setup. Furthermore, we introduced
               an inverse brush, a secondary brush which automatically
               selects non-brushed items, and updates itself accordingly
               when the original brush is modified. The case study
               describes how we used the system to analyze data from 1447
               patients from the ICU at Guy’s & St. Thomas’ NHS
               Foundation Trust in London. We were interested in the
               relationship between serum sodium concentration, its rate of
               change and their effect on ICU mortality rates. The
               interactive visual analysis led us to findings which were
               fascinating for medical experts, and which would be very
               difficult to discover using conventional analysis methods
               usually applied in the medical field. The overall feedback
               from domain experts (coauthors of the paper) is very
               positive.",
  month =      feb,
  booktitle =  "Proceeding of IVAAP 2012",
  event =      "IVAPP 2012",
  location =   "Rome, Italy",
  journal =    "Proceedings of IVAPP 2012 / SciTePress",
  pages =      "648--659",
  keywords =   "Coordinated Multiple Views, Intensive Care Unit Data,
               Interactive Visual Analysis",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2012/Purgathofer_2012_IVA/",
}