Application of data science techniques for prognostication of breast cancer : Malaysian patients as case study /
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Main Author: | |
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Format: | Thesis Book |
Language: | English |
Published: |
2021.
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LEADER | 01587nam a2200385 i 4500 | ||
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001 | u1149028 | ||
003 | SIRSI | ||
005 | 202110211529 | ||
008 | 211021s2021 my a m 000 0 eng | ||
040 | |a UMM |d AUM |e rda | ||
043 | |a a-my--- | ||
090 | |a QH302 |b UMP 2021 Mog | ||
100 | 0 | |a Mogana Darshini Ganggayah, |e author. | |
245 | 1 | 0 | |a Application of data science techniques for prognostication of breast cancer : |b Malaysian patients as case study / |c Mogana Darshini Ganggayah. |
264 | 1 | |c 2021. | |
300 | |a xxi, 190 leaves : |b illustrations ; |c 30 cm | ||
336 | |a text |2 rdacontent | ||
336 | |a still image |2 rdacontent | ||
337 | |a unmediated |2 rdamedia | ||
337 | |a computer |2 rdamedia | ||
338 | |a volume |2 rdacarrier | ||
338 | |a computer disc |2 rdacarrier | ||
502 | |b Ph.D. |c Institut Sains Biologi, Fakulti Sains, Universiti Malaya |d 2020. | ||
504 | |a Bibliography: leaves 170-179. | ||
530 | |a Also issued in CD. | ||
650 | 0 | |a Breast |x Cancer |x Patients |z Malaysia. | |
650 | 0 | |a Cancer |x Diagnosis |x Data processing. | |
650 | 0 | |a Cancer |x Patients |x Hospital care. | |
650 | 0 | |a Machine learning. | |
650 | 0 | |a Data sets. | |
710 | 2 | |a Universiti Malaya. |b Institut Sains Biologi, |e degree granting institution. | |
900 | |a NNANS US | ||
596 | |a 1 25 | ||
999 | |a QH302 UMP 2021 MOG |w LC |c 1 |i A517081378 |d 11/8/2023 |e 11/8/2023 |f 14/2/2022 |g 1 |l STACKS |m P01UTAMA |n 1 |r Y |s Y |t TESIS |u 11/2/2022 |1 STEM |o .PUBLIC. Embargoed until 31.12.21 |o .STAFF. | ||
999 | |a QH302 UMP 2021 MOG |w LC |c 1 |i A517056223 |f 31/5/2022 |g 1 |l STACKS |m P25UMARCHI |r N |s Y |t CD |u 31/5/2022 |1 STEM |o .STAFF. MST-CD785 |