# Blood Glucose level approximation using IOT and ANN’s

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/blood-glucose-level-approximation-using-iot-and-ann-s/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Imran Nazeerulla Khan,Sunil Kumar H.U.,Lavanya B.A.,K Yejnakshari Meghana,Kavya Sree K,M. Anusha,Aishwarya Tiwari,Rithu A. Shukla |
| Citations | 2 |
| DOI | 10.1109/iccmc.2019.8819671 |
| Fields | Engineering,Health Professions,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2970621769 |
| Type | conference-paper |
| Year | 2019 |

## Paper authors

- [M. Anusha](https://scholariq.org/researchers/m-anusha/)

## Paper primary topic

- [Diabetes Management and Research](https://scholariq.org/topics/diabetes-management-and-research/)

## Paper topics

- [Diabetes Management and Research](https://scholariq.org/topics/diabetes-management-and-research/)
- [Non-Invasive Vital Sign Monitoring](https://scholariq.org/topics/non-invasive-vital-sign-monitoring/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)

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