https://scholars.lib.ntu.edu.tw/handle/123456789/586541| Title: | Using syndrome mining with the Health and Retirement Study to identify the deadliest and least deadly frailty syndromes | Authors: | Chao Y.-S. Wu C.-J. HSING-CHIEN WU Hsu H.-T. Tsao L.-C. Cheng Y.-P. Lai Y.-C. Chen W.-C. |
Issue Date: | 2020 | Publisher: | Nature Research | Journal Volume: | 10 | Journal Issue: | 1 | Source: | Scientific Reports | URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083244445&doi=10.1038%2fs41598-020-60869-8&partnerID=40&md5=974327385d53b778a65af46b8f4f124a https://scholars.lib.ntu.edu.tw/handle/123456789/586541 |
ISSN: | 2045-2322 | DOI: | 10.1038/s41598-020-60869-8 |
| Appears in Collections: | 醫學院附設癌醫中心醫院(臺大癌醫) |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.