Research on Potential Adverse Drug Reaction Forecasting Based on SAO Semantic Structure

Wang, Jiayun; Wang, Xuefeng; Li, Wei

doi:10.1109/tem.2022.3187989

Cited by 1 publication

(2 citation statements)

References 31 publications

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“…Subsequently, the SAO structure has been extended to many other fields, such as patent similarity analysis [85,107] and patent network analysis [108]. It can also apply to technology tree analysis [96,109], technology trend analysis [110], online review demand extraction [27], and M&A target selection [101].…”

Section: Subject-action-object Analysis With the Data-driven Technolo...mentioning

confidence: 99%

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Data-Driven Technology Roadmaps to Identify Potential Technology Opportunities for Hyperuricemia Drugs

et al. 2022

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Hyperuricemia is a metabolic disease with an increasing incidence in recent years. It is critical to identify potential technology opportunities for hyperuricemia drugs to assist drug innovation. A technology roadmap (TRM) can efficiently integrate data analysis tools to track recent technology trends and identify potential technology opportunities. Therefore, this paper proposes a systematic data-driven TRM approach to identify potential technology opportunities for hyperuricemia drugs. This data-driven TRM includes the following three aspects: layer mapping, content mapping and opportunity finding. First we deal with layer mapping.. The BERT model is used to map the collected literature, patents and commercial hyperuricemia drugs data into the technology layer and market layer in TRM. The SAO model is then used to analyze the semantics of technology and market layer for hyperuricemia drugs. We then deal with content mapping. The BTM model is used to identify the core SAO component topics of hyperuricemia in technology and market dimensions. Finally, we consider opportunity finding. The link prediction model is used to identify potential technological opportunities for hyperuricemia drugs. This data-driven TRM effectively identifies potential technology opportunities for hyperuricemia drugs and suggests pathways to realize these opportunities. The results indicate that resurrecting the pseudogene of human uric acid oxidase and reducing the toxicity of small molecule drugs will be potential opportunities for hyperuricemia drugs. Based on the identified potential opportunities, comparing the DNA sequences from different sources and discovering the critical amino acid site that affects enzyme activity will be helpful in realizing these opportunities. Therefore, this research provides an attractive option analysis technology opportunity for hyperuricemia drugs.

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Section: Subject-action-object Analysis With the Data-driven Technolo...mentioning

confidence: 99%

“…BTM analyzes the technologies and market topics based on keywords that can't reflect the contexts. To reflect the contextual semantics of the topics, BTM is more effective when combined with SAO [108]. However, the SAO structure consists of phrases.…”

Section: Biterm Topic Model With the Data-driven Technology Roadmapmentioning

confidence: 99%

Data-Driven Technology Roadmaps to Identify Potential Technology Opportunities for Hyperuricemia Drugs

et al. 2022

View full text Add to dashboard Cite

show abstract

Research on Potential Adverse Drug Reaction Forecasting Based on SAO Semantic Structure

Cited by 1 publication

References 31 publications

Data-Driven Technology Roadmaps to Identify Potential Technology Opportunities for Hyperuricemia Drugs

Data-Driven Technology Roadmaps to Identify Potential Technology Opportunities for Hyperuricemia Drugs

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