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Contextualized interpretable machine learning for medical diagnosis

Published: 22 October 2020 Publication History
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  • (2022)CACHET-CADB: A Contextualized Ambulatory Electrocardiography Arrhythmia DatasetFrontiers in Cardiovascular Medicine10.3389/fcvm.2022.8930909Online publication date: 1-Jul-2022
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cover image Communications of the ACM
Communications of the ACM  Volume 63, Issue 11
November 2020
142 pages
ISSN:0001-0782
EISSN:1557-7317
DOI:10.1145/3431460
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 October 2020
Published in CACM Volume 63, Issue 11

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Cited By

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  • (2023)Screening for Chagas disease from the electrocardiogram using a deep neural networkPLOS Neglected Tropical Diseases10.1371/journal.pntd.001111817:7(e0011118)Online publication date: 3-Jul-2023
  • (2023)The Virtues of Interpretable Medical AICambridge Quarterly of Healthcare Ethics10.1017/S096318012200066433:3(323-332)Online publication date: 10-Jan-2023
  • (2022)CACHET-CADB: A Contextualized Ambulatory Electrocardiography Arrhythmia DatasetFrontiers in Cardiovascular Medicine10.3389/fcvm.2022.8930909Online publication date: 1-Jul-2022
  • (2022)An Interpretable Model for Real-time Tracking of Economic Indicators Using Social Media DataACM/IMS Transactions on Data Science10.1145/34983322:4(1-32)Online publication date: 17-Mar-2022
  • (2022)The Virtues of Interpretable Medical Artificial IntelligenceCambridge Quarterly of Healthcare Ethics10.1017/S0963180122000305(1-10)Online publication date: 16-Dec-2022
  • (2021)Meeting the unmet needs of clinicians from AI systems showcased for cardiology with deep-learning–based ECG analysisProceedings of the National Academy of Sciences10.1073/pnas.2020620118118:24Online publication date: 7-Jun-2021
  • (2021)Deep neural network-estimated electrocardiographic age as a mortality predictorNature Communications10.1038/s41467-021-25351-712:1Online publication date: 25-Aug-2021

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