Development of a Prognostic Nomogram for Nonneutropenic Invasive Pulmonary Aspergillosis Based on Machine Learning
Weiwei Du, Wentao Ji, Tian Luo, Yinying Zhang, Weihong Guo, Jianping Liang, Yanhua Lv · 2024
Read Development of a Prognostic Nomogram for Nonneutropenic Invasive Pulmonary Aspergillosis Based on Machine Learning by Weiwei Du, Wentao Ji, Tian Luo, Yinying Zhang, Weihong Guo, Jianping Liang, Yanhua Lv (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11608040.txt.
Description
Weiwei Du and co-authors build a forecast tool in a 2024 paper on a lung infection. A fungus called Aspergillus can invade the lungs of people whose white cell counts are normal, a group where cases keep rising. Little was known about which of those patients fare worst.
Hospital records from one Chinese city, spanning 2018 to 2023, were mined for warning signs. Careful variable picking fed a chart that turns a patient's traits into a personal risk score. Standard checks of accuracy and fit judged the chart. Such a tool could help wards spot high risk patients early and plan care around them.
Catalog record
| CREATOR | Weiwei Du, Wentao Ji, Tian Luo, Yinying Zhang, Weihong Guo, Jianping Liang, Yanhua Lv |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 35 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |