Deep learning on electronic medical records for hospital readmission risk prediction /
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| 主要作者: | |
|---|---|
| 格式: | Thesis 图书 |
| 语言: | English |
| 出版: |
2021.
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| LEADER | 01640nam a2200385 i 4500 | ||
|---|---|---|---|
| 001 | u1150722 | ||
| 003 | SIRSI | ||
| 005 | 202111301114 | ||
| 008 | 211130s2021 my a m 000 0 eng | ||
| 040 | |a UMM |d UMJ |d AUM |e rda | ||
| 090 | |a R856.4 |b UMP 2021 Teo | ||
| 097 | |a R856.4 |b UMP 2021 Teo | ||
| 100 | 1 | |a Teo, Kareen, |e author. | |
| 245 | 1 | 0 | |a Deep learning on electronic medical records for hospital readmission risk prediction / |c Teo Kareen. |
| 264 | 1 | |c 2021. | |
| 300 | |a xxi, 175 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 Jabatan Kejuruteraan Bioperubatan, Jabatan Kejuruteraan, Universiti Malaya |d 2021. | ||
| 504 | |a Bibliography: leaves 151-165. | ||
| 530 | |a Also issued in CD. | ||
| 650 | 0 | |a Medical records |x Data processing. | |
| 650 | 0 | |a Artificial intelligence |x Medical applications. | |
| 650 | 0 | |a Medical care |x Technological innovations. | |
| 650 | 0 | |a Hospitals |x Admission and discharge. | |
| 710 | 2 | |a Universiti Malaya. |b Jabatan Kejuruteraan Bioperubatan, |e degree granting institution. | |
| 900 | |a NNANS US | ||
| 596 | |a 1 7 25 | ||
| 999 | |a R856.4 UMP 2021 TEO |w LC |c 1 |i A517718390 |f 21/2/2022 |g 1 |l STACKS |m P01UTAMA |r Y |s Y |t TESIS |u 21/2/2022 |1 STEM | ||
| 999 | |a R856.4 UMP 2021 TEO |w LC |c 1 |i A517732666 |f 23/3/2022 |g 1 |l STACKS |m P07JURUTER |r Y |s Y |t TESIS |u 23/3/2022 |1 STEM | ||
| 999 | |a R856.4 UMP 2021 TEO |w LC |c 1 |i A517718412 |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-CD642 | ||