# Source Evidence: Predicting Hospitalisation of Kidney Dialysis Patients with AI

- Source ID: `medium_kidney_hospitalisation_2019`
- Publisher: Medium
- Original URL: https://medium.com/data-science/predicting-hospitalisation-of-kidney-dialysis-patients-with-ai-88e57007193d
- Archive URL: https://web.archive.org/web/*/https://medium.com/data-science/predicting-hospitalisation-of-kidney-dialysis-patients-with-ai-88e57007193d
- Accessed: 2026-07-12
- Content type: authored_article

## Supported Claims

- Tern Poh Lim authored the article in 2019.
- The article describes an AI Singapore and regional kidney-dialysis company project.
- It discusses problem framing, medical-domain learning, feature engineering, model validation, and decision support.

## Evidence Summary

This signed article provides Lim's practitioner account of the kidney-hospitalisation prediction project. The site lists it as authored writing and uses AI Singapore's institutional article for the conservative project-result claims.

## Use Rule

Do not repeat the article's 36% precision improvement or deployment statement on the profile until Lim gives separate approval for those stronger claims.