A machine learning approach to predict the ICU need for hospitalized COVID-19 patients presenting with cardiometabolic disorders / (Record no. 488731)

MARC details
000 -LEADER
fixed length control field 01020nam a2200217Ia 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240812s9999||||xx |||||||||||||| ||und||
040 ## - CATALOGING SOURCE
Original cataloging agency JZL-CUI
Transcribing agency COMSATS University Islamabad
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 610.2854
Item number WAS-A
084 ## - OTHER CLASSIFICATION NUMBER
Classification number 610.2854 WAS-A
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Wasim, Ayesha..
Relator term FA19-RHI-005/ISB
Affiliation COMSATS University Islamabad
245 #2 - TITLE STATEMENT
Title A machine learning approach to predict the ICU need for hospitalized COVID-19 patients presenting with cardiometabolic disorders /
Statement of responsibility, etc. Ayesha Wasim.
Medium [Thesis or Dissertation]
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Islamabad :
Name of publisher, distributor, etc. COMSATS University Islamabad,
Date of publication, distribution, etc. 2021.
300 ## - PHYSICAL DESCRIPTION
Extent ix, 62 pages :
Other physical details color illustrations ;
Dimensions 30 cm
502 ## - DISSERTATION NOTE
Name of granting institution COMSATS University Islamabad
600 ## - SUBJECT ADDED ENTRY--PERSONAL NAME
Personal name Majid Iqbal Khan, Dr.
Miscellaneous information Supervisor, Health Informatics.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element COVID-19--Healthcare system.
Topical term or geographic name entry element Machine learning approach--Cardiometabolic disorders.
655 ## - INDEX TERM--GENRE/FORM
Genre/form data or focus term Health Informatics
953 ## -
-- TP0011372
-- isb
-- isb
-- 2nd Floor
-- CD/DVD
-- VM
-- Thesis or Dissertation
-- 1
-- Examination Office, CUI
Holdings
Date last seen Total checkouts Full call number Shelving location Copy number Uniform resource identifier Price effective from Koha item type Lost status Damaged status Not for loan Collection Withdrawn status Home library Barcode Current library Date acquired Source of acquisition
08/13/2024   T 610.2854 WAS-A 11372 2nd Floor 1 In 08/13/2024 Thesis or Dissertation       Thesis or Dissertation   Junaid Zaidi Library, COMSATS University Islamabad 10001TP0011372 Junaid Zaidi Library, COMSATS University Islamabad   Examination Office, CUI