Use of genetic programming to diagnose venous thromboembolism in the emergency department

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Engoren:2008:GPEM,
  author =       "Milo Engoren and Jeffrey A. Kline",
  title =        "Use of genetic programming to diagnose venous
                 thromboembolism in the emergency department",
  journal =      "Genetic Programming and Evolvable Machines",
  year =         "2008",
  volume =       "9",
  number =       "1",
  pages =        "39--51",
  month =        mar,
  keywords =     "genetic algorithms, genetic programming, Pulmonary
                 embolism, Venous thromboembolic disease, Capnometry,
                 Oximetry",
  ISSN =         "1389-2576",
  DOI =          "doi:10.1007/s10710-007-9050-x",
  size =         "13 pages",
  abstract =     "Pulmonary thromboembolism as a cause of respiratory
                 complaints is frequently undiagnosed and requires
                 expensive imaging modalities to diagnose. The objective
                 of this study was to determine if genetic programming
                 could be used to classify patients as having or not
                 having pulmonary thromboembolism using exhaled
                 ventilatory and gas indices as genetic material. Using
                 a custom-built exhaled oxygen and carbon dioxide
                 analyser; exhaled flows, volumes, and gas partial
                 pressures were recorded from patients for a series of
                 deep exhalation and 30 seconds tidal volume breathing.
                 A diagnosis of pulmonary embolism was made by
                 contrast-enhanced computerised tomography angiography
                 of the chest and indirect venography supplemented by
                 90-day follow-up. Genetic programming developed a
                 series of genomes comprising genes of exhaled CO2, O2,
                 flow, volume, vital signs, and patient demographics
                 from these data and their predictions were compared to
                 the radiological results. We found that 24 of 178
                 patients had pulmonary embolism. The best genome
                 consisted of four genes: the minimum flow rate during
                 the third 30 s period of tidal breathing, the average
                 peak exhaled CO2 during the first 30 s period of tidal
                 breathing, the average peak of the exhaled O2 during
                 the first 30 s period of tidal breathing, and the
                 average peak exhaled CO2 during the fourth period of
                 tidal breathing, which immediately followed a deep
                 exhalation. This had 100percent sensitivity and
                 91percent specificity on the construction population
                 and 100percent and 82percent, respectively when tested
                 on the separate validation population. Genetic
                 programming using only data obtained from exhaled
                 breaths was very accurate in classifying patients with
                 suspected pulmonary thromboembolism.",
  notes =        "Continuous variables converted to independent 11
                 deciles. Explicit representation of missing data via
                 11th decile. No concent of adjacency between deciles.
                 Possibility of gaps between deciles. Fortran,
                 windowsXP, 500 generations. At most 4 genes (to prevent
                 over fitting). ROC",
}

Genetic Programming entries for Milo Engoren Jeffrey A Kline

Citations