health life sciences medicine
The 2016 PhysioNet/CinC Challenge aims to encourage the development of algorithms to classify heart sound recordings collected from a variety of clinical or nonclinical (such as in-home visits) environments. The aim is to identify, from a single short recording (10-60s) from a single precordial location, whether the subject of the recording should be referred on for an expert diagnosis.
Not updated
Open Data Commons Attribution License v1.0
https://physionet.org/content/challenge-2016/
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Classification of Heart Sound Recordings: The PhysioNet/Computing in Cardiology Challenge 2016 was accessed on DATE from https://registry.opendata.aws/challenge-2016.
arn:aws:s3:::physionet-open/challenge-2016/us-east-1aws s3 ls --no-sign-request s3://physionet-open/challenge-2016/