Construction of Teacher Competency Model for Sports Training based on Multi-Dimensional Visual Cognitive Intelligent Processing Modular Data Middleware

Authors: Zhou, Dunfeng

Source: 2022 International Conference on Edge Computing and Applications (ICECAA) Edge Computing and Applications (ICECAA), 2022 International Conference on. :1517-1520 Oct, 2022

Relation: 2022 International Conference on Edge Computing and Applications (ICECAA)

A post-marketing pharmacovigilance study of triazole antifungals: adverse event data mining and analysis based on the FDA adverse event reporting system database

Authors: Yalan Tian, Min Jin, Hong Ning

Source: Frontiers in Pharmacology, Vol 16 (2025)

Subject Terms: voriconazole, posaconazole, isavuconazole, adverse drug events, signal mining, rational drug use, Therapeutics. Pharmacology, RM1-950

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fphar.2025.1462510/full; https://doaj.org/toc/1663-9812

Access URL: https://doaj.org/article/c3efb4a8398d487094edf28513bcc376

Ophthalmic corticosteroids-related adverse events: the FDA adverse event reporting system (FAERS) database pharmacovigilance study

Authors: Chengzhi Liu, Xinyu Wang, Xusheng Cao

Source: Frontiers in Pharmacology, Vol 15 (2024)

Subject Terms: FAERS, corticosteroids, adverse event, pharmacovigilance, signal mining, ocular diseases, Therapeutics. Pharmacology, RM1-950

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fphar.2024.1502047/full; https://doaj.org/toc/1663-9812

Access URL: https://doaj.org/article/cd8e8e7b6ef840a8ae146ad594db537f

Signal detection and analysis of adverse events associated with Genvoya® based the FAERS database

Authors: Chengliang Wang, Yan Zhang, Xiting Tang, Guoping Zhang, Li Chen

Source: Frontiers in Pharmacology, Vol 15 (2024)

Subject Terms: Genvoya®, adverse events, FAERS database, signal mining, HIV treatment, Therapeutics. Pharmacology, RM1-950

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fphar.2024.1439781/full; https://doaj.org/toc/1663-9812

Access URL: https://doaj.org/article/735b7afe91854fc7917d74196ae94dd3

Safety assessment of disulfiram: real-world adverse event analysis based on FAERS database

Authors: Jing Luo, Yaqi Zeng, Zhe Chen, Yaan Luo, Li Shi, Xuhui Zhou

Source: Frontiers in Psychiatry, Vol 15 (2024)

Subject Terms: disulfiram, FAERS, real-world data analysis, signal mining, adverse event, Psychiatry, RC435-571

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1498204/full; https://doaj.org/toc/1664-0640

Access URL: https://doaj.org/article/3281a789fe184659b325ace458c0bd78

Drug-induced hearing disorders: a disproportionality analysis of the FAERS database

Authors: Baojian Li, Xiaoling Hu, Zichen Yue

Source: Frontiers in Pharmacology, Vol 15 (2024)

Subject Terms: hearing disorders, adverse event, FAERS, disproportionality analysis, signal mining, Therapeutics. Pharmacology, RM1-950

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fphar.2024.1480994/full; https://doaj.org/toc/1663-9812

Access URL: https://doaj.org/article/23b40d0e039a4251b4e71d63e839f839

Adverse event profile of albumin-bound paclitaxel: a real-world pharmacovigilance analysis

Authors: Yuanqiong Duan, Ying Wang, Shentao Lu, Mei Zeng, Lubin Liu, Qian Dai, Rutie Yin

Source: Frontiers in Pharmacology, Vol 15 (2024)

Subject Terms: albumin-bound paclitaxel, adverse drug events, FDA adverse event reporting system, signal mining, pharmacovigilance analysis, real-world study, Therapeutics. Pharmacology, RM1-950

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fphar.2024.1448144/full; https://doaj.org/toc/1663-9812

Access URL: https://doaj.org/article/bf3d92cde70348f183ff0f131c49423f

Research on Intelligent Analysis and Fault Diagnosis of Electric Power Control Based on Warning Signal Mining

Authors: Yu, Xun, Liu, Ning, Yan, Feng Jun, Meng, Lei, Li, Yi

Source: 2020 International Conference on Computer Science and Management Technology (ICCSMT) ICCSMT Computer Science and Management Technology (ICCSMT), 2020 International Conference on. :1-4 Nov, 2020

Relation: 2020 International Conference on Computer Science and Management Technology (ICCSMT)

Exploring adverse events of Vilazodone: evidence from the FAERS database

Authors: Ying Jiang, Yucai Qu, Zhiqiang Du, Mengmeng Ou, Yuan Shen, Qin Zhou, Lin Tian, Haohao Zhu

Source: BMC Psychiatry, Vol 24, Iss 1, Pp 1-9 (2024)

Subject Terms: Vilazodone, Major depressive disorder, Adverse events, Safety profile, Signal mining, Psychiatry, RC435-571

File Description: electronic resource

Relation: https://doaj.org/toc/1471-244X

Access URL: https://doaj.org/article/a113441706de4db7b318d3b08f0d59ea

Comprehensive analysis of adverse events associated with pimavanserin using the FAERS database

Authors: Gu, Jun ¹, Qu, Yucai ¹, Shen, Yuan, Zhou, Qin, Jiang, Ying ^⁎, Zhu, Haohao ^⁎

Source: In Journal of Affective Disorders 1 October 2024 362:742-748

Signal mining of adverse events of proteasome inhibitors in multiple myeloma based on FAERS

Authors: Yuan Peng, Yuying Zhou, Kaisen Shu, Xu Jia, Yan Zhong

Source: Frontiers in Pharmacology, Vol 15 (2024)

Subject Terms: proteasome inhibitors, adverse event, signal mining, multiple myeloma, adverse event reporting system, Therapeutics. Pharmacology, RM1-950

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fphar.2024.1396378/full; https://doaj.org/toc/1663-9812

Access URL: https://doaj.org/article/cf895cfe321341278426dd8ed678ccee

Comparing the adverse effects of ketamine and esketamine between genders using FAERS data

Authors: Xinxia Yang, Dongdong Chen

Source: Frontiers in Pharmacology, Vol 15 (2024)

Subject Terms: esketamine, ketamine, gender difference, signal mining, adverse drug events, Therapeutics. Pharmacology, RM1-950

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fphar.2024.1329436/full; https://doaj.org/toc/1663-9812

Access URL: https://doaj.org/article/ea141f65b8fd44d6974aa3d439f62d1f

Risk of immune system and skin and subcutaneous tissue related adverse events associated with oxaliplatin combined with immune checkpoint inhibitors: a pharmacovigilance study

Authors: Chunhong Zhang, Furong Li, Ying Dai, Yifan Zeng, Xuben Yu, Dawei Shi

Source: Frontiers in Pharmacology, Vol 15 (2024)

Subject Terms: oxaliplatin, immune checkpoint inhibitors, type II hypersensitivity, rash, pharmacovigilance, signal mining, Therapeutics. Pharmacology, RM1-950

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fphar.2024.1309540/full; https://doaj.org/toc/1663-9812

Access URL: https://doaj.org/article/92b29c00587f47b781852f31cc4b0507

Data Mining for Adverse Events Signals of Acalabrutinib Based on FAERS Database

Authors: LIANG Cuilyu, ZHANG Yin, CHEN Qiying

Source: Zhongliu Fangzhi Yanjiu, Vol 49, Iss 11, Pp 1168-1174 (2022)

Subject Terms: acalabrutinib, adverse drug event, signal mining, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

File Description: electronic resource

Relation: http://www.zlfzyj.com/EN/10.3971/j.issn.1000-8578.2022.22.0183; https://doaj.org/toc/1000-8578

Access URL: https://doaj.org/article/4a4f970afa1f4befbfc4206932805303

Building energy management using learning-from-signals

Authors: Moore, Michael R., Buckner, Mark A., Young, Marcus A., Albright, Austin P., Bobrek, Miljko, Haynes, Howard D., Wetherington, G. Randall

Source: 2012 Future of Instrumentation International Workshop (FIIW) Proceedings Future of Instrumentation International Workshop (FIIW), 2012. :1-4 Oct, 2012

Relation: 2012 Future of Instrumentation International Workshop (FIIW)

Safety Profile of Antipsychotic Drugs: Analysis Based on a Provincial Spontaneous Reporting Systems Database

Authors: Kangyuan Guo, Zhanchun Feng, Shanquan Chen, Ziqi Yan, Zhiming Jiao, Da Feng

Source: Frontiers in Pharmacology, Vol 13 (2022)

Subject Terms: antipsychotics, adverse drug reaction, spontaneous reporting system, signal mining, risk factor, pharmacovigilance, Therapeutics. Pharmacology, RM1-950

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fphar.2022.848472/full; https://doaj.org/toc/1663-9812

Access URL: https://doaj.org/article/c426c1edc75d489c9e85f6203dffa71d

Supervised Selection of Dynamic Features, with an Application to Telecommunication Data Preparation
Advances in data mining: applications in medicine, web mining, marketing, image and signal mining; ICDM 2006

Authors: Ferrandiz, S., Boulle, M.

Source: LECTURE NOTES IN COMPUTER SCIENCE. (4065):239-249

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN060787541&indx=1&recIds=ETOCCN060787541

Computer Network Monitoring and Abnormal Event Detection Using Graph Matching and Multidimensional Scaling
Advances in data mining: applications in medicine, web mining, marketing, image and signal mining; ICDM 2006

Authors: Bunke, H., Dickinson, P., Humm, A., Irniger, C., Kraetzl, M.

Source: LECTURE NOTES IN COMPUTER SCIENCE. (4065):576-590

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN060787807&indx=1&recIds=ETOCCN060787807

An Intelligent Manufacturing Process Diagnosis System Using Hybrid Data Mining
Advances in data mining: applications in medicine, web mining, marketing, image and signal mining; ICDM 2006

Authors: Hur, J., Lee, H., Baek, J.-G.

Source: LECTURE NOTES IN COMPUTER SCIENCE. (4065):561-575

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN060787796&indx=1&recIds=ETOCCN060787796

Feature Analysis and Classification of Classical Musical Instruments: An Empirical Study
Advances in data mining: applications in medicine, web mining, marketing, image and signal mining; ICDM 2006

Authors: Simmermacher, C., Deng, D., Cranefield, S.

Source: LECTURE NOTES IN COMPUTER SCIENCE. (4065):444-458

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN060787704&indx=1&recIds=ETOCCN060787704