Correlating eligibility criteria generalizability and adverse events using Big Data for patients and clinical trials

A. Sen; P.B. Ryan; A. Goldstein; S. Chakrabarti; S. Wang; E. Koski; C. Weng

doi:10.1111/nyas.13195

Correlating eligibility criteria generalizability and adverse events using Big Data for patients and clinical trials

A. Sen, P.B. Ryan, A. Goldstein, S. Chakrabarti, S. Wang, E. Koski, C. Weng

Research output: Contribution to journal › Article › peer-review

20 Citations (Scopus)

Original language	English
Journal	Annals of the New York Academy of Sciences
DOIs	https://doi.org/10.1111/nyas.13195
Publication status	Published - 2017
Externally published	Yes

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10.1111/nyas.13195

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title = "Correlating eligibility criteria generalizability and adverse events using Big Data for patients and clinical trials",

author = "A. Sen and P.B. Ryan and A. Goldstein and S. Chakrabarti and S. Wang and E. Koski and C. Weng",

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language = "English",

journal = "Annals of the New York Academy of Sciences",

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AU - Sen, A.

AU - Ryan, P.B.

AU - Goldstein, A.

AU - Chakrabarti, S.

AU - Wang, S.

AU - Koski, E.

AU - Weng, C.

PY - 2017

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DO - 10.1111/nyas.13195

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SN - 0077-8923

JO - Annals of the New York Academy of Sciences

JF - Annals of the New York Academy of Sciences

ER -

Correlating eligibility criteria generalizability and adverse events using Big Data for patients and clinical trials

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Assessing Eligibility Criteria Generalizability and their Correlations with Adverse Events using Big Data for EHRs and Clinical Trials,

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Correlating eligibility criteria generalizability and adverse events using Big Data for patients and clinical trials

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Assessing Eligibility Criteria Generalizability and their Correlations with Adverse Events using Big Data for EHRs and Clinical Trials,

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