# Source Evidence: Supporting Our Healthcare Workers and Kidney Disease Patients

- Source ID: `aisingapore_renalteam_2019`
- Publisher: AI Singapore
- Original URL: https://aisingapore.org/supporting-our-healthcare-workers-and-kidney-disease-patients/
- Archive URL: https://web.archive.org/web/*/https://aisingapore.org/supporting-our-healthcare-workers-and-kidney-disease-patients/
- Accessed: 2026-07-12
- Content type: institutional_article

## Supported Claims

- AI Singapore and RenalTeam collaborated on a kidney-care AI project.
- Lim Tern Poh worked on the project first as an AIAP apprentice and later as a Senior AI Engineer.
- The team scoped the problem, explored the data, selected features, and trained an imbalanced-class model.
- The model used a one-week prediction window.
- After seven months, its performance was comparable with the RenalTeam medical team.
- The work considered how predictions would fit medical-team routines and how people should handle differences between human and model conclusions.

## Evidence Summary

This AI Singapore article provides institutional support for Lim Tern Poh's role in an applied healthcare AI delivery case. It supports the problem, workflow, delivery period, prediction window, and comparative-performance claims used by the site.

## Use Rule

Do not use this source to claim a 36% precision improvement, production deployment, clinical validation, or improved patient outcomes. Those claims are not stated on this institutional page.