A proposal for determining the evidence types of biomedical documents using a drug-drug interaction ontology and machine learning

Linh Hoang; Richard D. Boyce; Mathias Brochhausen; Joseph Utecht; Jodi Schneider

A proposal for determining the evidence types of biomedical documents using a drug-drug interaction ontology and machine learning

Linh Hoang
, Richard D. Boyce
, Mathias Brochhausen
, Joseph Utecht
, Jodi Schneider

Research output: Contribution to journal › Conference article › peer-review

Original language	English (US)
Journal	CEUR Workshop Proceedings
Volume	2350
State	Published - 2019
Event	2019 AAAI Spring Symposium on Combining Machine Learning with Knowledge Engineering, AAAI-MAKE 2019 - Palo Alto, United States Duration: Mar 25 2019 → Mar 27 2019

ASJC Scopus subject areas

General Computer Science

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@article{87ef3b1a22b545fa86808ad672218ad1,

title = "A proposal for determining the evidence types of biomedical documents using a drug-drug interaction ontology and machine learning",

author = "Linh Hoang and Boyce, \{Richard D.\} and Mathias Brochhausen and Joseph Utecht and Jodi Schneider",

note = "Support from National Institutes of Health R01LM011838, T15LM007059, R01LM010817. Thanks to Nigel Bosch for discussions of machine learning approaches.; 2019 AAAI Spring Symposium on Combining Machine Learning with Knowledge Engineering, AAAI-MAKE 2019 ; Conference date: 25-03-2019 Through 27-03-2019",

year = "2019",

language = "English (US)",

volume = "2350",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

publisher = "CEUR-WS",

}

TY - JOUR

T1 - A proposal for determining the evidence types of biomedical documents using a drug-drug interaction ontology and machine learning

AU - Hoang, Linh

AU - Boyce, Richard D.

AU - Brochhausen, Mathias

AU - Utecht, Joseph

AU - Schneider, Jodi

N1 - Support from National Institutes of Health R01LM011838, T15LM007059, R01LM010817. Thanks to Nigel Bosch for discussions of machine learning approaches.

PY - 2019

Y1 - 2019

UR - https://www.scopus.com/pages/publications/85064966080

UR - https://www.scopus.com/pages/publications/85064966080#tab=citedBy

M3 - Conference article

AN - SCOPUS:85064966080

SN - 1613-0073

VL - 2350

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 2019 AAAI Spring Symposium on Combining Machine Learning with Knowledge Engineering, AAAI-MAKE 2019

Y2 - 25 March 2019 through 27 March 2019

ER -

A proposal for determining the evidence types of biomedical documents using a drug-drug interaction ontology and machine learning

ASJC Scopus subject areas

Library availability

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