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Study results – ADR identification is the main outcome of the study.

Figshare2025-02-04 更新2026-04-28 收录

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https://figshare.com/articles/dataset/Study_results_ADR_identification_is_the_main_outcome_of_the_study_/28346676 数据链接链接失效反馈

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Study results – ADR identification is the main outcome of the study.

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2025-02-04

药物不良反应识别

皮疹研究

Supplemental material, Table S1, for Methods for Identifying Culprit Drugs in Cutaneous Drug Eruptions: A Scoping Review by Reetesh Bose, Selam Ogbalidet, Mina Boshra, Alexandra Finstad, Barbara Marza

DataCite Commons2024-08-28 更新40

Statistic results on the imbalance datasets of adverse drug reactions.

药物不良反应识别

不平衡分类

Most tokens are annotated as class O, which is about 10 times that of ADR with entity labels. The algorithms tend to produce unsatisfactory classifiers when faced with (even extremely) imbalanced data

NIAID Data Ecosystem30

Results comparison of different context encoders w/ and w/o weighted mechanism for ADR detection tasks.

药物不良反应识别

医疗文本挖掘

The proposed weighted CRF significantly outperformed several baselines on both the Twitter and PubMed datasets. In addition, the weighting strategy on both softmax and CRF can alleviate the imbalanced

NIAID Data Ecosystem20

Adverse Drug Reaction (ADR) Text Dataset

药物不良反应识别

医疗文本聚类

This repository contains text data and code related to the identification and clustering of Adverse Drug Reactions (ADR) using Sentence-BERT (S-BERT) embeddings and the SS-DBSCAN clustering algorithm.

NIAID Data Ecosystem30

Adverse Drug Reaction (ADR) Text Dataset

药物不良反应识别

文本分类

The text data in this dataset has been collected from the publicly available MIMIC-III (Medical Information Mart for Intensive Care) database. MIMIC-III is an extensive, single-center database contain

Zenodo2025-04-11 更新20

Study results – ADR identification is the main outcome of the study.

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