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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,181 papers · 148 categories

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3 results for “pharmacovigilance”

Interpreting Classifiers through Attribute Interactions in Datasetsstat.ML

ASTRID method interprets classifier interactions in datasets.

problem Understanding attribute interactions in classification models.

method ASTRID method for investigating attribute interactions.

result ASTRID reveals associations between attributes for better model interpretability.

attribute interactions classification interpretability data generating distribution pharmacovigilance

2017-07-24abs ↗pdf ↗

Automated Detection of Adverse Drug Reactions in the Biomedical Literature Using Convolutional Neural Networks and Biomedical Word Embeddingscs.CL

CNNs and biomedical word embeddings detect ADRs in literature.

problem Detecting Adverse Drug Reactions (ADRs) in biomedical literature is time-consuming.

method Used token-level convolutions and biomedical word embeddings in CNN architectures.

result CNNs outperform traditional models and word embeddings improve performance.

Adverse Drug Reactions Deep Learning Convolutional Neural Networks Biomedical Word Embeddings Pharmacovigilance

2018-04-24abs ↗pdf ↗

Handling temporality of clinical events with application to Adverse Drug Event detection in Electronic Health Records: A scoping reviewcs.LG

This review explores methods for detecting Adverse Drug Events in EHRs.

problem Detecting Adverse Drug Events (ADEs) in EHRs using temporal data.

method Examines 5 main approaches: temporal abstraction, graph-based, learning weights, and time series data.

result Challenges remain in exploiting heterogeneous temporal data for ADE detection.

Electronic Health Records Adverse Drug Events Temporal Data Machine Learning Pharmacovigilance

2019-04-09abs ↗pdf ↗