Sossi, M., Freitas, Alex A. (2026) Three Data Bipartitioning Methods to Improve Prediction of Time to Death. In: Proceedings of the 2026 IEEE International Conference on Healthcare Informatics (ICHI 2026). IEEE IEEE Computer Society – Conference Publishing Services E-ISBN 979-8-3315-6426-1. (In press) (doi:10.1109/ICHI69079.2026.000) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:115521)
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| Official URL: https://doi.org/10.1109/ICHI69079.2026.000 |
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| Item Type: | Conference proceeding |
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| DOI/Identification number: | 10.1109/ICHI69079.2026.000 |
| Uncontrolled keywords: | Machine learning, survival analysis |
| Subjects: |
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, R Medicine |
| Institutional Unit: | Schools > School of Computing |
| Former Institutional Unit: |
There are no former institutional units.
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| Funders: | University of Kent (https://ror.org/00xkeyj56) |
| Depositing User: | Alex Freitas |
| Date Deposited: | 31 May 2026 12:59 UTC |
| Last Modified: | 15 Jun 2026 12:32 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/115521 (The current URI for this page, for reference purposes) |
University of Kent Author Information
Freitas, Alex A..
| Creator's ORCID: |
 https://orcid.org/0000-0001-9825-4700
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