[HTML][HTML] Investigating ADR mechanisms with explainable AI: a feasibility study with knowledge graph mining

E Bresso, P Monnin, C Bousquet, FÉ Calvier… - BMC medical informatics …, 2021 - Springer
Abstract Background Adverse drug reactions (ADRs) are statistically characterized within
randomized clinical trials and postmarketing pharmacovigilance, but their molecular …

Investigating ADR mechanisms with Explainable AI: a feasibility study with knowledge graph mining

E Bresso, P Monnin, C Bousquet, FE Calvier… - … Medical Informatics and …, 2021 - hal.science
Abstract Background Adverse drug reactions (ADRs) are statistically characterized within
randomized clinical trials and postmarketing pharmacovigilance, but their molecular …

Investigating ADR mechanisms with Explainable AI: a feasibility study with knowledge graph mining

E Bresso, P Monnin, C Bousquet… - … and Decision Making, 2021 - inria.hal.science
Abstract Background Adverse drug reactions (ADRs) are statistically characterized within
randomized clinical trials and postmarketing pharmacovigilance, but their molecular …

Investigating ADR mechanisms with Explainable AI: a feasibility study with knowledge graph mining

E Bresso, P Monnin, C Bousquet… - … and Decision Making, 2021 - cnrs.hal.science
Abstract Background Adverse drug reactions (ADRs) are statistically characterized within
randomized clinical trials and postmarketing pharmacovigilance, but their molecular …

[HTML][HTML] Investigating ADR mechanisms with Explainable AI: a feasibility study with knowledge graph mining

E Bresso, P Monnin, C Bousquet… - … and Decision Making, 2021 - ncbi.nlm.nih.gov
Background Adverse drug reactions (ADRs) are statistically characterized within
randomized clinical trials and postmarketing pharmacovigilance, but their molecular …

Investigating ADR mechanisms with Explainable AI: a feasibility study with knowledge graph mining

E Bresso, P Monnin, C Bousquet… - BMC medical …, 2021 - pubmed.ncbi.nlm.nih.gov
Background Adverse drug reactions (ADRs) are statistically characterized within
randomized clinical trials and postmarketing pharmacovigilance, but their molecular …

Investigating ADR mechanisms with Explainable AI: a feasibility study with knowledge graph mining

E Bresso, P Monnin, C Bousquet… - … and Decision Making, 2021 - ephe.hal.science
Abstract Background Adverse drug reactions (ADRs) are statistically characterized within
randomized clinical trials and postmarketing pharmacovigilance, but their molecular …

Investigating ADR mechanisms with Explainable AI: a feasibility study with knowledge graph mining

E Bresso, P Monnin… - BMC Medical …, 2021 - sorbonne-paris-nord.hal.science
Abstract Background Adverse drug reactions (ADRs) are statistically characterized within
randomized clinical trials and postmarketing pharmacovigilance, but their molecular …

Investigating ADR mechanisms with Explainable AI: a feasibility study with knowledge graph mining.

E Bresso, P Monnin, C Bousquet… - … and Decision Making, 2021 - europepmc.org
Background Adverse drug reactions (ADRs) are statistically characterized within
randomized clinical trials and postmarketing pharmacovigilance, but their molecular …

Investigating ADR mechanisms with Explainable AI: a feasibility study with knowledge graph mining

E Bresso, P Monnin, C Bousquet… - … Ouvertes en Biologie …, 2022 - hal-ciheam.iamm.fr
Adverse drug reactions (ADRs) are statistically characterized within randomized clinical
trials or by postmarketing pharmacovigilance. However, the molecular mechanisms causing …