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NOT YET RECRUITING
NCT06798688

In This Study, the Sponsor Would Like to Collaborate with Institution and Investigator to Aggregate Participants Data and to Pilot Its Software Algorithm Using Machine Learning and Threshold Based Methods for Predicting Exacerbations and Deterioration Within a 60 Days Period Post-discharge

Sponsor: Respiree Pte Ltd

View on ClinicalTrials.gov

Summary

In this study, the sponsor would like to collaborate with Institution and Investigator to aggregate participants data and to pilot its software algorithm using machine learning and threshold based methods for predicting exacerbations and deterioration within a 60 days period post-discharge.

Official title: Software Algorithm Using Machine Learning and Threshold Based Methods for Predicting Exacerbations and Deterioration

Key Details

Gender

All

Age Range

18 Years - Any

Study Type

OBSERVATIONAL

Enrollment

20

Start Date

2025-03-01

Completion Date

2025-07-01

Last Updated

2025-01-29

Healthy Volunteers

No

Conditions

Interventions

DEVICE

A non-invasive cardio-respiratory sensor will be applied on the subjects to measure parameters to identify exacerbations

This Study aims to pilot software algorithms based on respiratory features and hemodynamics for predicting exacerbations on a total of 20 participants with COPD. The end-points of this Study includes the following: 1. To validate respiratory-based biomarkers in models to predict exacerbations - benchmarking to be done versus physician assess exacerbations, emergency department visits, hospitalizations and any other visit. 2. To validate level of compliance, drop-out rate and if additional measures are required to get participants to follow-on