Machine learning approaches incorporating high-dimensional longitudinal data improve the prediction of survival after allogeneic hematopoietic cell transplantation Meeting Abstract
| Authors: | Zhou, Y. W.; Smith, J.; Keerthi, D.; Sarvode, S.; Shyr, D. C.; Spitzer, B.; Chatterjee, A.; Chatterjee, S.; Naik, S.; Tang, L.; Sharma, A. |
| Abstract Title: | Machine learning approaches incorporating high-dimensional longitudinal data improve the prediction of survival after allogeneic hematopoietic cell transplantation |
| Meeting Title: | 64th Annual Meeting of the American Society of Hematology (ASH) |
| Journal Title: | Blood |
| Volume: | 140 |
| Issue: | Suppl. 1 |
| Meeting Dates: | 2022 Dec 10-13 |
| Meeting Location: | New Orleans, LA |
| ISSN: | 0006-4971 |
| Publisher: | American Society of Hematology |
| Date Published: | 2022-11-15 |
| Start Page: | 322 |
| End Page: | 323 |
| Language: | English |
| ACCESSION: | WOS:000893223200132 |
| DOI: | 10.1182/blood-2022-162890 |
| PROVIDER: | wos |
| Notes: | Meeting Abstract -- Source: Wos |
