A Health Care Clinical Data Platform for Rapid Deployment of Artificial Intelligence and Machine Learning Algorithms for Cancer Care and Oncology Clinical Trials

The xCures platform aggregates, organizes, structures, and normalizes clinical EMR data across care sites, utilizing advanced technologies for near real-time access. The platform generates data in a format to support clinical care, accelerate research, and promote artificial intelligence/ machine le...

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Veröffentlicht in:North Carolina medical journal (Durham, N.C.) N.C.), 2024-06, Vol.85 (4), p.270
Hauptverfasser: Sengupta, Soma, Rao, Rohan, Kaufman, Zachary, Stuhlmiller, Timothy J, Wong, Kenny K, Kesari, Santosh, Shapiro, Mark A, Kramer, Glenn A
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container_issue 4
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container_title North Carolina medical journal (Durham, N.C.)
container_volume 85
creator Sengupta, Soma
Rao, Rohan
Kaufman, Zachary
Stuhlmiller, Timothy J
Wong, Kenny K
Kesari, Santosh
Shapiro, Mark A
Kramer, Glenn A
description The xCures platform aggregates, organizes, structures, and normalizes clinical EMR data across care sites, utilizing advanced technologies for near real-time access. The platform generates data in a format to support clinical care, accelerate research, and promote artificial intelligence/ machine learning algorithm development, highlighted by a clinical decision support algorithm for precision oncology.
doi_str_mv 10.18043/001c.120572
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source MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
subjects Algorithms
Artificial Intelligence
Clinical Trials as Topic
Decision Support Systems, Clinical
Electronic Health Records
Humans
Machine Learning
Medical Oncology - methods
Neoplasms - therapy
title A Health Care Clinical Data Platform for Rapid Deployment of Artificial Intelligence and Machine Learning Algorithms for Cancer Care and Oncology Clinical Trials
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