ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction

Author:

Li Haoxuan1ORCID,Hu Taojun1ORCID,Xiong Zetong2ORCID,Zheng Chunyuan3ORCID,Feng Fuli4ORCID,He Xiangnan4ORCID,Zhou Xiao-Hua1ORCID

Affiliation:

1. Peking University, China

2. Yale University, USA

3. University of California, San Diego, USA

4. University of Science and Technology of China, China

Publisher

ACM

Reference44 articles.

1. Alan Agresti . 1992. A survey of exact inference for contingency tables. Statistical science 7, 1 ( 1992 ), 131–153. Alan Agresti. 1992. A survey of exact inference for contingency tables. Statistical science 7, 1 (1992), 131–153.

2. John Arrowsmith and Philip Miller . 2013. Trial watch: phase II and phase III attrition rates 2011-2012. Nature reviews. Drug discovery 12, 8 ( 2013 ), 569. John Arrowsmith and Philip Miller. 2013. Trial watch: phase II and phase III attrition rates 2011-2012. Nature reviews. Drug discovery 12, 8 (2013), 569.

3. Juan  M Banda , Lee Evans , Rami  S Vanguri , Nicholas  P Tatonetti , Patrick  B Ryan , and Nigam  H Shah . 2016. A curated and standardized adverse drug event resource to accelerate drug safety research. Scientific data 3, 1 ( 2016 ), 1–11. Juan M Banda, Lee Evans, Rami S Vanguri, Nicholas P Tatonetti, Patrick B Ryan, and Nigam H Shah. 2016. A curated and standardized adverse drug event resource to accelerate drug safety research. Scientific data 3, 1 (2016), 1–11.

4. Bio2RDF: Towards a mashup to build bioinformatics knowledge systems

5. Aurel Cami , Alana Arnold , Shannon Manzi , and Ben Reis . 2011. Predicting adverse drug events using pharmacological network models. Science translational medicine 3, 114 ( 2011 ), 114ra127–114ra127. Aurel Cami, Alana Arnold, Shannon Manzi, and Ben Reis. 2011. Predicting adverse drug events using pharmacological network models. Science translational medicine 3, 114 (2011), 114ra127–114ra127.

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