Image from Google Jackets

Using data mining techniques to predict obstetric fistula in Tanzania: a case of CCBRT/ Titus Fiha Vango

By: Material type: TextTextPublication details: Dodoma: The University of Dodoma, 2019Description: xiii, 74 p.: ill. ; 30 cmSubject(s): LOC classification:
  • R 853 .T36V36 2019
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode
Dissertations Dissertations Informatics and Virtual Education Library Collection Postgraduate Reference R 853 .T36V36 2019 (Browse shelf(Opens below)) C.1 Not For Loan 1839409
Dissertations Dissertations Informatics and Virtual Education Library Collection Postgraduate Reference R 853 .T36V36 2019 (Browse shelf(Opens below)) C.2 Not For Loan 1839410
Dissertations Dissertations Informatics and Virtual Education Library Collection Postgraduate Reference R 853 .T36V36 2019 (Browse shelf(Opens below)) C.3 Not For Loan 1839411
Dissertations Dissertations Informatics and Virtual Education Library Collection Postgraduate Reference R 853 .T36V36 2019 (Browse shelf(Opens below)) C.4 Not For Loan 1839412

includes references

There are no comments on this title.

to post a comment.
© The University of Dodoma 2020