Validation of a Large Medical Database

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http://doi.ieeecomputersociety.org/10.1109/CBMS.1995.465447

Eighth IEEE Symposium on Computer-Bas ...

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	ASCII Text	x
	G. Rovetta, P. Monteforte, G. Bianchi, S. Rovetta, R. Zunino, "Validation of a Large Medical Database," Computer-Based Medical Systems, IEEE Symposium on, pp. 0057, Eighth IEEE Symposium on Computer-Based Medical Systems (CBMS'95), 1995.

	BibTex	x
	@article{ 10.1109/CBMS.1995.465447, author = {G. Rovetta and P. Monteforte and G. Bianchi and S. Rovetta and R. Zunino}, title = {Validation of a Large Medical Database}, journal ={Computer-Based Medical Systems, IEEE Symposium on}, volume = {0}, year = {1995}, isbn = {0-8186-7117-3}, pages = {0057}, doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.1995.465447}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer-Based Medical Systems, IEEE Symposium on TI - Validation of a Large Medical Database SN - 0-8186-7117-3 SP EP A1 - G. Rovetta, A1 - P. Monteforte, A1 - G. Bianchi, A1 - S. Rovetta, A1 - R. Zunino, PY - 1995 KW - medical information systems; very large databases; data integrity; neural nets; unsupervised learning; probability; large medical database; database validation; clinical problems; experimental evidence; observed data validation; biasing; incorrect sampling; sample distribution; data-inherent regularities; unsupervised models; neural networks; clinical records analysis; osteoporosis; data distribution uniformity; unbiased sampling VL - 0 JA - Computer-Based Medical Systems, IEEE Symposium on ER -

G. Rovetta, Fac. of Eng, Genova Univ., Italy

P. Monteforte, Fac. of Eng, Genova Univ., Italy

G. Bianchi, Fac. of Eng, Genova Univ., Italy

S. Rovetta, Fac. of Eng, Genova Univ., Italy

R. Zunino, Fac. of Eng, Genova Univ., Italy

Abstract: Complex clinical problems involving huge experimental evidence require a preliminary validation of observed data. This may avoid biasing due to incorrect sampling and clarify the sample distribution by showing data-inherent regularities. The paper describes the application of unsupervised models of neural networks to the analysis of a very large set of clinical records for the study of osteoporosis. The main result obtained lies in showing the overall uniformity of the data distribution, which indicates a correct unbiased sampling of the considered population.

Index Terms:

medical information systems; very large databases; data integrity; neural nets; unsupervised learning; probability; large medical database; database validation; clinical problems; experimental evidence; observed data validation; biasing; incorrect sampling; sample distribution; data-inherent regularities; unsupervised models; neural networks; clinical records analysis; osteoporosis; data distribution uniformity; unbiased sampling

Citation:

G. Rovetta, P. Monteforte, G. Bianchi, S. Rovetta, R. Zunino, "Validation of a Large Medical Database," cbms, pp.0057, Eighth IEEE Symposium on Computer-Based Medical Systems (CBMS'95), 1995

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