Detection and analysis of depression in woman using machine learning approaches (Record no. 52469)
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000 -LEADER | |
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fixed length control field | 00591nam a22002177a 4500 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | OSt |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240731114144.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 240731b |||||||| |||| 00| 0 eng d |
040 ## - CATALOGING SOURCE | |
Transcribing agency | PUL |
041 ## - LANGUAGE CODE | |
Language code of text/sound track or separate title | en |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 005 VID |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Vidya Y |
245 ## - TITLE STATEMENT | |
Title | Detection and analysis of depression in woman using machine learning approaches |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Place of publication, distribution, etc. | Bengaluru : |
Name of publisher, distributor, etc. | Presidency University, |
Date of publication, distribution, etc. | 2024. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xi, 140 p. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Depression |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Machine Learning |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Woman Depressions |
856 ## - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | <a href="http://hdl.handle.net/10603/579634">http://hdl.handle.net/10603/579634</a> |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Thesis |
Source of classification or shelving scheme |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Current Library | Homelibrary | Date acquired | Full call number | Barcode | Date last seen | Uniform Resource Identifier | Price effective from | Koha item type |
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Access Restricted | Reference | Presidency University Library | Presidency University Library | 2024-07-31 | 005 VID | T173 | 2024-07-31 | http://hdl.handle.net/10603/579634 | 2024-07-31 | Thesis |