Predicting mortality of Malaysian patients with acute coronary syndrome (acs) subtypes using machine learning and deep learning approaches /
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| Main Author: | |
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| Format: | Thesis Book |
| Language: | English |
| Published: |
2022
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| LEADER | 01162nam a2200301 i 4500 | ||
|---|---|---|---|
| 001 | u1162588 | ||
| 003 | SIRSI | ||
| 005 | 202305261129 | ||
| 008 | 230526s2022 my a m 000 0 eng | ||
| 040 | |a UMM |e rda | ||
| 090 | |a QH302 |b UMP 2022 Muhfa | ||
| 100 | 0 | |a Muhammad Firdaus Aziz, |e author | |
| 245 | 1 | 0 | |a Predicting mortality of Malaysian patients with acute coronary syndrome (acs) subtypes using machine learning and deep learning approaches / |c Muhammad Firdaus bin Aziz. |
| 264 | 1 | |c 2022 | |
| 300 | |a xxvii, 331 leaves : |b colour 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 2022. | ||
| 504 | |a Bibliography: leaves 291-318. | ||
| 530 | |a Also issued in CD. | ||
| 710 | 2 | |a Universiti Malaya. |b Institut Sains Biologi, |e degree granting institution. | |
| 900 | |a jms - copy in process | ||
| 596 | |a 1 | ||
| 999 | |a XX(1162588.1) |w LC |c 1 |i 1162588-1001 |l INPROCESS |m P01UTAMA |r Y |s Y |t TESIS |u 26/5/2023 | ||