Articles with "learning healthcare" as a keyword



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From Discovery to Practice and Survivorship: Building a National Real‐World Data Learning Healthcare Framework for Military and Veteran Cancer Patients

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Published in 2019 at "Clinical Pharmacology and Therapeutics"

DOI: 10.1002/cpt.1425

Abstract: The Applied Proteogenomics OrganizationaL Learning and Outcomes (APOLLO) network is implementing a prospective curation and translation of real-world data into real-world evidence within the learning healthcare environment of the Department of Defense and Department of… read more here.

Keywords: real world; learning healthcare; practice; world ... See more keywords
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Cancer Moonshot Data and Technology Team: Enabling a National Learning Healthcare System for Cancer to Unleash the Power of Data

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Published in 2017 at "Clinical Pharmacology and Therapeutics"

DOI: 10.1002/cpt.636

Abstract: The Cancer Moonshot emphasizes the need to learn from the experiences of cancer patients to positively impact their outcomes, experiences, and qualities of life. To realize this vision, there has been a concerted effort to… read more here.

Keywords: national learning; learning healthcare; healthcare system; cancer ... See more keywords
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Appositeness of Optimized and Reliable Machine Learning for Healthcare: A Survey

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Published in 2022 at "Archives of Computational Methods in Engineering"

DOI: 10.1007/s11831-022-09733-8

Abstract: Machine Learning (ML) has been categorized as a branch of Artificial Intelligence (AI) under the Computer Science domain wherein programmable machines imitate human learning behavior with the help of statistical methods and data. The Healthcare… read more here.

Keywords: appositeness optimized; machine; learning healthcare; machine learning ... See more keywords
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Machine Learning for Healthcare: On the Verge of a Major Shift in Healthcare Epidemiology

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Published in 2018 at "Clinical Infectious Diseases"

DOI: 10.1093/cid/cix731

Abstract: The increasing availability of electronic health data presents a major opportunity in healthcare for both discovery and practical applications to improve healthcare. However, for healthcare epidemiologists to best use these data, computational techniques that can… read more here.

Keywords: machine learning; learning healthcare; healthcare epidemiology; epidemiology ... See more keywords
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Causal machine learning for healthcare and precision medicine

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Published in 2022 at "Royal Society Open Science"

DOI: 10.1098/rsos.220638

Abstract: Causal machine learning (CML) has experienced increasing popularity in healthcare. Beyond the inherent capabilities of adding domain knowledge into learning systems, CML provides a complete toolset for investigating how a system would react to an… read more here.

Keywords: learning healthcare; causal machine; medicine; machine learning ... See more keywords
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Adoption of Federated Learning for Healthcare Informatics: Emerging Applications and Future Directions

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3201876

Abstract: The smart healthcare system has improved the patients quality of life (QoL), where the records are being analyzed remotely by distributed stakeholders. It requires a voluminous exchange of data for disease prediction via the open… read more here.

Keywords: federated learning; informatics emerging; adoption federated; healthcare informatics ... See more keywords
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Decentralized Learning in Healthcare: A Review

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Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3281832

Abstract: Recent developments in deep learning have contributed to numerous success stories in healthcare. The performance of a deep learning model generally improves with the size of the training data. However, there are privacy, ownership, and… read more here.

Keywords: healthcare review; learning; decentralized learning; deep learning ... See more keywords
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Bridging the implementation gap of machine learning in healthcare

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Published in 2019 at "BMJ Innovations"

DOI: 10.1136/bmjinnov-2019-000359

Abstract: Applications of machine learning on clinical data are now attaining levels of performance that match or exceed human clinicians.1–3 Fields involving image interpretation—radiology, pathology and dermatology—have led the charge due to the power of convolutional… read more here.

Keywords: machine; machine learning; learning healthcare; implementation gap ... See more keywords
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The Learning Healthcare System and Cardiovascular Care: A Scientific Statement From the American Heart Association

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Published in 2017 at "Circulation"

DOI: 10.1161/cir.0000000000000480

Abstract: The learning healthcare system uses health information technology and the health data infrastructure to apply scientific evidence at the point of clinical care while simultaneously collecting insights from that care to promote innovation in optimal… read more here.

Keywords: learning healthcare; healthcare system; scientific statement; care ... See more keywords
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Learning Healthcare Systems: Scaling-Up Integrated Care Programs

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Published in 2018 at "Studies in health technology and informatics"

DOI: 10.3233/978-1-61499-852-5-825

Abstract: Current healthcare systems are struggling with rising costs and unbalanced quality of care. Integrated care (IC) is a worldwide trend in healthcare reforms designed to tackle these problems. ACT@Scale is a partnership of leading European… read more here.

Keywords: scaling integrated; learning healthcare; systems scaling; healthcare systems ... See more keywords
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Federated Learning in Healthcare: A Privacy Preserving Approach

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Published in 2022 at "Studies in health technology and informatics"

DOI: 10.3233/shti220436

Abstract: A need to enhance healthcare sector amidst pandemic arises. Many technological developments in Artificial Intelligence (AI) are being constantly leveraged in different fields of healthcare. One such advancement, Federated Learning(FL) has acquired recognition primarily due… read more here.

Keywords: healthcare privacy; federated learning; approach; privacy ... See more keywords