# Hypertriglyceridemia

## Description 

Hypertriglyceridemia risk is the likelihood that the user has abnormally high triglyceride levels (defined as being above 1.7 mmol/L or 150 mg/dL) and corresponds to the percentage of people with the user’s risk profile who have abnormally high triglyceride levels. BitDoctor determines the user’s hypertriglyceridemia risk based on blood flow patterns and demographic information.

## Participants 

Adults (18+ years of age) recruited from several hospital health clinics.

## Additional Data Collection

Subjects also received a blood test at the same clinic visit where their triglyceride levels were measured.

## Modelling Approach 

Blood flow signal was extracted and processed from facial video, and then blood flow features were extracted from blood flow signal. 

Feature selection was carried out on blood flow and demographic features to identify features predictive of hypertriglyceridemia. A machine-learning based classifier was created to predict whether an individual has hypertriglyceridemia based on those features. 

The model was created/trained using 80% of the subjects. The distribution of sex and hypertriglyceridemia status in this group is summarized in Table 19.

| Subjects in videos                | Composition               |
| --------------------------------- | ------------------------- |
| Sex distribution                  | 48.7 % Male; 51.3% Female |
| Hypertriglyceridemia distribution | 35%                       |

                                          *Table 19: Hypertriglyceridemia distribution of training set*

## Model Performance 

The Hypertriglyceridemia Risk model was then validated for accuracy on an independent portion of the dataset (n=641) that was not used in training - validation set. Then the final accuracy was obtained on an independent portion of the dataset (n=641) that was not used in training - test set. The distribution of sex and hypertriglyceridemia status in these groups is summarized in Table 20.

| Subjects in videos                | Composition in Validation | Composition in Test      |
| --------------------------------- | ------------------------- | ------------------------ |
| Sex distribution                  | 49.8% Male; 50.2% Female  | 47.3% Male; 52.7% Female |
| Hypertriglyceridemia distribution | 35%                       | 35%                      |

                               *Table 20: Hypertriglyceridemia distribution of validation and test sets*

The accuracy on the test set calculated as area under the curve was 79.2% as sown in Figure 24.

<figure><img src="/files/mgBNSRZuYZV4a4td3n2W" alt="" width="563"><figcaption></figcaption></figure>

&#x20;                                           *Figure 24: AUC of Hypertriglyceridemia risk prediction*

Predictions are displayed to the user as a percentage likelihood of having hypertriglyceridemia. A percentage of 45% or more suggests a risk of hypertriglyceridemia, while 55% or more suggests high risk of hypertriglyceridemia.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.bitdoctor.ai/clinical-measurement-reports/hypertriglyceridemia.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.