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Predicting patient's length of stay by mining hospital data / Saira Seemab.

By: Seemab, SairaContributor(s): Sup: Dr. Usman Qamar Material type: Text

TextPublisher: Islamabad: CEME - NUST, 2015Description: 46p.: ill.; 30cmSubject(s): Software Engineering - MS ThesesDDC classification: 004

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Item type	Current location	Home library	Shelving location	Call number	Status	Date due	Barcode	Item holds
Thesis	Central Library (CL)	Central Library (CL)	Reference	004 (Browse shelf)	Available		CL-T-738

Total holds: 0

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Previous	004 Organization of Islamic Conference / In the perspective of present circumstances :	004 Creation of Pakistan / A progressive overview :	004 Impact based sentiment Analysis /	004 Predicting patient's length of stay by mining hospital data /	004.019 ROG Interaction Design Beyond Human Computer Interaction	011.51 KTH KTH in your pocket 2005 a guide to research projects at KTH,Stockholm	030.2 BRI 1994 Britannica Book of the Year /	Next

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