Predicting all-cause unplanned readmission within 30 days of discharge using electronic medical record data: A multi-centre study
10.1111/ijcp.14306
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WILEY
2022
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sg-nus-scholar.10635-2348792024-11-11T19:05:03Z Predicting all-cause unplanned readmission within 30 days of discharge using electronic medical record data: A multi-centre study Sharmin, Sifat Meij, Johannes J Zajac, Jeffrey D Moodie, Alan Rob Maier, Andrea B MEDICINE Prof Andrea Britta Maier Science & Technology Life Sciences & Biomedicine Medicine, General & Internal Pharmacology & Pharmacy General & Internal Medicine HOSPITAL READMISSION RISK-FACTORS DEATH VALIDATION DISEASE MODELS 10.1111/ijcp.14306 INTERNATIONAL JOURNAL OF CLINICAL PRACTICE 75 8 2022-11-29T00:55:25Z 2022-11-29T00:55:25Z 2021-05-17 2022-11-28T09:10:03Z Article Sharmin, Sifat, Meij, Johannes J, Zajac, Jeffrey D, Moodie, Alan Rob, Maier, Andrea B (2021-05-17). Predicting all-cause unplanned readmission within 30 days of discharge using electronic medical record data: A multi-centre study. INTERNATIONAL JOURNAL OF CLINICAL PRACTICE 75 (8). ScholarBank@NUS Repository. https://doi.org/10.1111/ijcp.14306 1368-5031 1742-1241 https://scholarbank.nus.edu.sg/handle/10635/234879 en WILEY Elements |
| institution |
National University of Singapore |
| building |
NUS Library |
| continent |
Asia |
| country |
Singapore Singapore |
| content_provider |
NUS Library |
| collection |
ScholarBank@NUS |
| language |
English |
| topic |
Science & Technology Life Sciences & Biomedicine Medicine, General & Internal Pharmacology & Pharmacy General & Internal Medicine HOSPITAL READMISSION RISK-FACTORS DEATH VALIDATION DISEASE MODELS |
| spellingShingle |
Science & Technology Life Sciences & Biomedicine Medicine, General & Internal Pharmacology & Pharmacy General & Internal Medicine HOSPITAL READMISSION RISK-FACTORS DEATH VALIDATION DISEASE MODELS Sharmin, Sifat Meij, Johannes J Zajac, Jeffrey D Moodie, Alan Rob Maier, Andrea B Predicting all-cause unplanned readmission within 30 days of discharge using electronic medical record data: A multi-centre study |
| description |
10.1111/ijcp.14306 |
| author2 |
MEDICINE |
| author_facet |
MEDICINE Sharmin, Sifat Meij, Johannes J Zajac, Jeffrey D Moodie, Alan Rob Maier, Andrea B |
| format |
Article |
| author |
Sharmin, Sifat Meij, Johannes J Zajac, Jeffrey D Moodie, Alan Rob Maier, Andrea B |
| author_sort |
Sharmin, Sifat |
| title |
Predicting all-cause unplanned readmission within 30 days of discharge using electronic medical record data: A multi-centre study |
| title_short |
Predicting all-cause unplanned readmission within 30 days of discharge using electronic medical record data: A multi-centre study |
| title_full |
Predicting all-cause unplanned readmission within 30 days of discharge using electronic medical record data: A multi-centre study |
| title_fullStr |
Predicting all-cause unplanned readmission within 30 days of discharge using electronic medical record data: A multi-centre study |
| title_full_unstemmed |
Predicting all-cause unplanned readmission within 30 days of discharge using electronic medical record data: A multi-centre study |
| title_sort |
predicting all-cause unplanned readmission within 30 days of discharge using electronic medical record data: a multi-centre study |
| publisher |
WILEY |
| publishDate |
2022 |
| url |
https://scholarbank.nus.edu.sg/handle/10635/234879 |
| _version_ |
1821213646323187712 |