# A Food Recognition System for Diabetic Patients Based on an Optimized Bag-of-Features Model

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-food-recognition-system-for-diabetic-patients-based-on-an-optimized-bag-of/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Marios Anthimopoulos,Lauro Gianola,Luca Scarnato,Peter Diem,Stavroula Mougiakakou |
| Citations | 228 |
| DOI | 10.1109/jbhi.2014.2308928 |
| Fields | Engineering,Medicine,Nursing |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://ieeexplore.ieee.org/ielx7/6221020/6846381/06762879.pdf |
| OpenAlex ID | https://openalex.org/W1963726930 |
| PMID | 25014934 |
| Type | article |
| Year | 2014 |

## Paper authors

- [Stavroula Mougiakakou](https://scholariq.org/researchers/stavroula-mougiakakou/)

## Paper journal

- [IEEE Journal of Biomedical and Health Informatics](https://scholariq.org/journals/ieee-journal-of-biomedical-and-health-informatics/)

## Paper primary topic

- [Advanced Chemical Sensor Technologies](https://scholariq.org/topics/advanced-chemical-sensor-technologies/)

## Paper topics

- [Advanced Chemical Sensor Technologies](https://scholariq.org/topics/advanced-chemical-sensor-technologies/)
- [Biochemical Analysis and Sensing Techniques](https://scholariq.org/topics/biochemical-analysis-and-sensing-techniques/)
- [Nutritional Studies and Diet](https://scholariq.org/topics/nutritional-studies-and-diet/)

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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.