EXPLAINABLE DEEP LEARNING METHOD FOR NON-INVASIVE DETECTION OF PULMONARY HYPERTENSION FROM HEART SOUNDS

Gaudio, Alex (Participant)
Renna, Francesco (Participant)
Schmidt, Samuel (Participant)

CardioTech
The Faculty of Medicine
Department of Health Science and Technology

Impact: Quality of life impact

Description of impact

The patent refers to an explainable learning method for non-invasive detection of pulmonary hypertension from heart sounds. The patent has a social impact, as early detection in screening programs can improve the outcomes of the high mortality rate.

Category of impact	Quality of life impact

EXPLAINABLE DEEP LEARNING METHOD FOR NON-INVASIVE DETECTION OF PULMONARY HYPERTENSION FROM HEART SOUNDS

Description of impact

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EXPLAINABLE DEEP LEARNING METHOD FOR NON-INVASIVE DETECTION OF PULMONARY HYPERTENSION FROM HEART SOUNDS