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Data mining issues for improved birth outcomes.

Publication ,  Journal Article
Goodwin, L; Prather, J; Schlitz, K; Iannacchione, MA; Hage, M; Hammond, WE; Grzymala-Busse, J
Published in: Biomed Sci Instrum
1997

Issues obstructing progress in data mining for improved health outcomes include data quality problems, data redundancy, data inconsistency, repeated measures, temporal (time-contextual) measures, and data volume. Related issues involve theoretical and technical problems involving uncertainty management, missing data and missing values, and matching appropriate data mining techniques to patient data sets. Results of data mining research in progress are reported for Duke University's perinatal database that contains nearly a decade of clinical patient data, 71,753 database (patient) records and 4-5000 variables per patient.

Duke Scholars

Published In

Biomed Sci Instrum

ISSN

0067-8856

Publication Date

1997

Volume

34

Start / End Page

291 / 296

Location

United States

Related Subject Headings

  • Pregnancy Outcome
  • Pregnancy
  • Pattern Recognition, Automated
  • Humans
  • Female
  • Databases, Factual
  • Data Interpretation, Statistical
  • Artificial Intelligence
 

Citation

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Goodwin, L., Prather, J., Schlitz, K., Iannacchione, M. A., Hage, M., Hammond, W. E., & Grzymala-Busse, J. (1997). Data mining issues for improved birth outcomes. Biomed Sci Instrum, 34, 291–296.
Goodwin, L., J. Prather, K. Schlitz, M. A. Iannacchione, M. Hage, W. E. Hammond, and J. Grzymala-Busse. “Data mining issues for improved birth outcomes.Biomed Sci Instrum 34 (1997): 291–96.
Goodwin L, Prather J, Schlitz K, Iannacchione MA, Hage M, Hammond WE, et al. Data mining issues for improved birth outcomes. Biomed Sci Instrum. 1997;34:291–6.
Goodwin, L., et al. “Data mining issues for improved birth outcomes.Biomed Sci Instrum, vol. 34, 1997, pp. 291–96.
Goodwin L, Prather J, Schlitz K, Iannacchione MA, Hage M, Hammond WE, Grzymala-Busse J. Data mining issues for improved birth outcomes. Biomed Sci Instrum. 1997;34:291–296.

Published In

Biomed Sci Instrum

ISSN

0067-8856

Publication Date

1997

Volume

34

Start / End Page

291 / 296

Location

United States

Related Subject Headings

  • Pregnancy Outcome
  • Pregnancy
  • Pattern Recognition, Automated
  • Humans
  • Female
  • Databases, Factual
  • Data Interpretation, Statistical
  • Artificial Intelligence