# Machine Learning Enabled Portable Electrical Impedance Tomography System for Community Level Chronic Kidney Disease Classification and eGFR Estimation

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-enabled-portable-electrical-impedance-tomography-system-for/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jia Li,Runze Liu,Michael Lawson,Eddie C. Wong,Iris Y. Zhou,Desmond Yat Hin Yap,Russell W. Chan |
| Citations | 2 |
| DOI | 10.1109/embc58623.2025.11253076 |
| Fields | Engineering,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4416961754 |
| PMID | 41336132 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [Desmond Yat Hin Yap](https://scholariq.org/researchers/desmond-yat-hin-yap/)

## Paper primary topic

- [Electrical and Bioimpedance Tomography](https://scholariq.org/topics/electrical-and-bioimpedance-tomography/)

## Paper topics

- [Electrical and Bioimpedance Tomography](https://scholariq.org/topics/electrical-and-bioimpedance-tomography/)
- [Dialysis and Renal Disease Management](https://scholariq.org/topics/dialysis-and-renal-disease-management/)
- [Body Composition Measurement Techniques](https://scholariq.org/topics/body-composition-measurement-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.