Deep learning on electronic medical records for hospital readmission risk prediction /

Deep learning on electronic medical records for hospital readmission risk prediction /

Saved in:
Bibliographic Details
Main Author: Teo, Kareen (Author)
Format: Thesis Book
Language:English
Published: 2021.
Subjects:
Medical records > Data processing.
Artificial intelligence > Medical applications.
Medical care > Technological innovations.
Hospitals > Admission and discharge.
Tags: Add Tag
No Tags, Be the first to tag this record!
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 

Similar Items