Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/442074
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.date.accessioned | 2023-01-11T06:50:38Z | - |
dc.date.available | 2023-01-11T06:50:38Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/442074 | - |
dc.description.abstract | newline | - |
dc.language | English | - |
dc.rights | university | - |
dc.title | Prediction of Breast Cancer Severity by Extracting Prognostic Factors and TNM Cancer Staging from Unstructured Clinical and Pathological Reports | - |
dc.creator.researcher | Deshmukh, Pratiksha Ram | - |
dc.subject.keyword | Cancer | - |
dc.subject.keyword | Prognostic Factors | - |
dc.subject.keyword | Life Sciences | - |
dc.subject.keyword | Breast Cancer | - |
dc.contributor.guide | Phalnikar, Rashmi | - |
dc.publisher.place | Pune | - |
dc.publisher.university | Dr. Vishwanath Karad MIT World Peace University | - |
dc.publisher.institution | School of Computer Engineering and Technology | - |
dc.date.completed | 2022 | - |
dc.date.awarded | 2022 | - |
dc.format.accompanyingmaterial | DVD | - |
dc.source.university | University | - |
dc.type.degree | Ph.D. | - |
Appears in Departments: | School of Computer Engineering and Technology |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 41.84 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 212.85 kB | Adobe PDF | View/Open | |
03_content.pdf | 174.03 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 97.7 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 206.17 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 166.44 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 582.59 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 1.33 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 515.12 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 779.79 kB | Adobe PDF | View/Open | |
11_chapter 7.pdf | 686.45 kB | Adobe PDF | View/Open | |
12_chapter 8.pdf | 38.81 kB | Adobe PDF | View/Open | |
13_annexures.pdf | 159.71 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 79.64 kB | Adobe PDF | View/Open |
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