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Explainable Artificial Intelligence for Pharmacovigilance: What Features
  Are Important When Predicting Adverse Outcomes?

Explainable Artificial Intelligence for Pharmacovigilance: What Features Are Important When Predicting Adverse Outcomes?

25 December 2021
I. Ward
Ling Wang
Juan Lu
M. Bennamoun
Girish Dwivedi
Frank M. Sanfilippo
ArXivPDFHTML

Papers citing "Explainable Artificial Intelligence for Pharmacovigilance: What Features Are Important When Predicting Adverse Outcomes?"

2 / 2 papers shown
Title
Detecting Anomalies in Blockchain Transactions using Machine Learning
  Classifiers and Explainability Analysis
Detecting Anomalies in Blockchain Transactions using Machine Learning Classifiers and Explainability Analysis
Mohammad Hasan
Mohammad Shahriar Rahman
Helge Janicke
Iqbal H. Sarker
32
23
0
07 Jan 2024
Explainable AI for clinical and remote health applications: a survey on
  tabular and time series data
Explainable AI for clinical and remote health applications: a survey on tabular and time series data
Flavio Di Martino
Franca Delmastro
AI4TS
28
90
0
14 Sep 2022
1