PredictMod Frequently Asked Questions

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Login & Registration

Who can register for a PredictMod account?

Any clinicians, researchers, or other individuals interested in using the tool are invited to register.

How long does registration last?

Registered accounts do not expire. You will be logged out after 24 hours of each login.

Query Builder

How can I run a prediction using a single-patient data file?

Use the query builder to select the desired condition, intervention, and data type associated with your patient data. File upload templates vary by model. Reference our example files to ensure your data meets our formatting requirements. Select ‘Submit & Analyze’ to view the results. You can also run predictions by selecting a model from the Models page.

What file types are accepted?

Comma separated values (csv) or excel workbook (xlsx) files are accepted.

How do I know if my file is not formatted correctly?

An incorrectly formatted file will return an error message when the 'Submit & Analyze' option is selected. If you receive a formatting error message and you are unsure why, please contact our team and we can work with you to resolve the issue.

For additional assistance with uploading and formatting data, please contact our team.

What data types are included in the PredictMod query selection?

We have several data types such as metagenomic (MG), glycomic, glycoproteomic, time series, and electronic medical record (EMR). Additional data type information is available for each model on the platform.

What conditions are included in the PredictMod query selection?

We have multiple conditions such as prediabetes, epilepsy, and cancer. The platform is condition-agnostic and is designed to be used for a variety of conditions, interventions, and data types. Additional condition information is available for each model on the platform.

What interventions are included in the PredictMod query selection?

We have multiple interventions such as exercise, ketogenic diet, medications, and dietary counseling. Additional intervention information is available for each model on the platform.

What are the possible prediction outcomes?

PredictMod will provide a prediction categorized as either Responder or Non-Responder. The outcomes associated with the response status vary for each model, though a Responder result is generally associated with a positive health outcome, and the Non-Responder result is generally associated with a negative health outcome.

For additional information, please review the models page on the portal.

Data & Security

Will the system store patient data?

The data will not be saved in the system. PredictMod will use uploaded patient data to make a one-time prediction.

Can I view a history of my predictions?

Prediction results are not saved, so a prediction history is not available.