Predicting patient's length of stay by mining hospital data / (Record no. 540755)

000 -LEADER
fixed length control field 00470nam a22001457a 4500
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 004
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Seemab, Saira
245 ## - TITLE STATEMENT
Title Predicting patient's length of stay by mining hospital data /
Statement of responsibility, etc. Saira Seemab.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Islamabad:
Name of publisher, distributor, etc. CEME - NUST,
Date of publication, distribution, etc. 2015.
300 ## - PHYSICAL DESCRIPTION
Extent 46p.: ill.;
Dimensions 30cm.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Software Engineering - MS Theses.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Sup: Dr. Usman Qamar.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Thesis
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
-- 34605
700 ## - ADDED ENTRY--PERSONAL NAME
-- 34781
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
          Central Library (CL) Central Library (CL) Reference 11/06/2020   004 CL-T-738 11/06/2020 11/06/2020 Thesis
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