Extracting Vocal Biomarkers for Pulmonary Congestion With a Smartphone App
- PMID: 34969497
- PMCID: PMC9904189
- DOI: 10.1016/j.jchf.2021.10.007
Extracting Vocal Biomarkers for Pulmonary Congestion With a Smartphone App
Keywords: heart failure; machine learning; remote monitoring; speech analysis.
Conflict of interest statement
Funding Support and Author Disclosures Dr Kao has been an advisor for Codex Health, Inc. Dr Ravindra has reported that he has no relationships relevant to the contents of this paper to disclose.
Comment on
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Remote Speech Analysis in the Evaluation of Hospitalized Patients With Acute Decompensated Heart Failure.JACC Heart Fail. 2022 Jan;10(1):41-49. doi: 10.1016/j.jchf.2021.08.008. Epub 2021 Dec 8. JACC Heart Fail. 2022. PMID: 34969496
References
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- Gheorghiade M, Abraham WT, Albert NM, et al. Systolic blood pressure at admission, clinical characteristics, and outcomes in patients hospitalized with acute heart failure. JAMA 2006;296:2217–2226. - PubMed
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- Boorsma EM, ter Maaten JM, Damman K, et al. Congestion in heart failure: a contemporary look at physiology, diagnosis and treatment. Nat. Rev. Cardiol 2020. 1710 2020;17:641–655. - PubMed
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