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

Author:

Sengupta Soma1,Rao Rohan2,Kaufman Zachary3,Stuhlmiller Timothy J.3,Wong Kenny K.3,Kesari Santosh4,Shapiro Mark A.3,Kramer Glenn A.3

Affiliation:

1. University of North Carolina at Chapel Hill

2. University of California, Los Angeles

3. xCures

4. Saint John's Health Center

Abstract

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.

Publisher

North Carolina Institute of Medicine

Reference9 articles.

1. Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence;H. Liang;Nat Med,2019

2. Natural language processing in clinical neuroscience and psychiatry: a review;C. Crema;Front Psychiatry,2022

3. ML4LHS/clinspacy: Clinical Natural Language Processing using spaCy, scispacy, and medspacy;K. Singh;GitHub,2021

4. Approach to machine learning for extraction of real-world data variables from electronic health records;B. Adamson;Front Pharmacol,2023

5. Attention Is All You Need;A. Vaswani,2017

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