基于BERT和CNN的药物不良反应个例报道文献分类方法

doi:10.11896/jsjkx.230400049

Abstract

Abstract: Clinically,the death caused by adverse drug reactions and the sharp increase in hospitalization and outpatient expenses caused by improper drug use have become one of the main problems faced by clinical safe and rational drug use.At present,the research of adverse drug reactions retrospective analysis and literature analysis is mostly based on published literature information.Academic literature is one of the important sources of data,and how to automatically process data in batches is particularly important.According to the unique expression of traditional Chinese medicine text,based on BERT and its combination algorithm,through the comparison experiment of text classification technology,an efficient and fast classification method for the literature data of adverse drug reactions case reports is established,and then the types of adverse drug reactions are distinguished.Experimental results show that the classification accuracy of BERT algorithm reaches 99.75%,which can accurately and efficiently classify the reported literature of adverse drug reactions,and has important value and significance for auxiliary medical treatment and constructing structured data of medical texts.

Key words: Adverse drug reactions, Individual case literature report, Medical text classification, Deep learning, BERT

CLC Number:

TP391.1

MENG Xiangfu, REN Quanying, YANG Dongshen, LI Keqian, YAO Keyu, ZHU Yan. Literature Classification of Individual Reports of Adverse Drug Reactions Based on BERT and CNN[J].Computer Science, 2024, 51(6A): 230400049-6.

References

[1]WU M Z.Extraction and Analysis of Relationships betweenDrugs and Diseases from Medical Literature[D].Shenyang:China Medical University,2010.
[2]YANG Y,BAI Y N,ZHANG Y Y,et al.Bibliometric research on 323 cases of drug fever induced by antimicrobial[J].Practical Pharmacy and Clinical Remedies,2021,24(8):722-726.
[3]LI Y L,LV M,ZHANG M.Analysis of 11 cases of levothyroxine sodium-induced liver injury in literature[J].Drug Evaluation Research,2021,44(7):1508-1512.
[4]LI Y,XU X L,LIU Y,et al.Sirolimus-induced adverse reactions in children:a literature analysis[J].Clinical Medication Journal,2021,19(9):74-78.
[5]CHEN J Y,MA J,TONG G L,et al.Literature analysis of lung injury induced by oxaliplatin[J].Chinese Journal of Hospital Pharmacy,2021,41(10):1059-1063.
[6]CHEN J S.《 Chinese Journal of New Drugs 》 1998－2002 Comprehensive analysis of adverse drug reaction reports[J].Chinese Journal of New Drugs,2003,12(12):1046-1047.
[7]Circular of the State Drug Administration on Issuing the guiding principles for the collection and reporting of individual adverse drug reactions[EB/OL].[2018-12-19].https://www.cdr-adr.org.cn/drug_1/zcfg_1/zcfg_zdyz/202009/t20200924_47831.html.
[8]Adverse Drug Reactions Database[Z].2019-07-29.
[9]CANETE-SIFUENTES L,MONROY R,MEDINA-PEREZ MA.A Review and Experimental Comparison of Multivariate Decision Trees[J].IEEE Access,2021,PP(99):1.
[10]KE B,KHANDELWAL M,ASTERIS P G,et al.Rock-burst occurrence prediction based on optimized Nave Bayes models[J].IEEE Access,2021,PP(99):1.
[11]ABDELSALAM M M,ZAHRAN M A.A novel approach ofDiabetic Retinopathy early detection based on Multifractal Geometry Analysis for OCTA Macular Images using Support Vector Machine[J].IEEE Access,2021,PP(99):1.
[12]JALAL A,AHMED A,RAFIQUE A A,et al.Scene Semantic Recognition Based on Modified Fuzzy C-Mean and Maximum Entropy Using Object-to-Object Relations[J].IEEE Access,2021,9(99):27758-27772.
[13]CHEN K L,LU G,LI C W,et al.Obstructed Nearest Neighbor Query Under Uncertainty in the Internet of Things Environment[J].IEEE Access,2021,PP(99):1-1.
[14]ZHANG W J,JIANG L X,ZHANG H,et al.A Two-LayerBayes Model:Random Forest Naive Bayes[J].Journal of Computer Research and Development,2021,58(9):2040-2051.
[15]WANG S W,XU F,CHAO H T,et al.Research on fault classification of textile hot rolling mill based on support vector machine[J].Modern Manufacturing Engineering,2021(6):116-121.
[16]JIE L,JIN T,PAN K,et al.An improved KNN text classification algorithm based on Simhash[C]//2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing(ICCICC),2017.
[17]ALSALEH D,LARABI-MARIE-SAINTE S.Arabic TextClassification using Convolutional Neural Network and Genetic Algorithms[J].IEEE Access,2021,PP(99):1-1.
[18]WU Z Y,BAI K L,YANG L R,et al.Review on Text Mining of Electronic Medical Record[J].Journal of Computer Research and Development,2021,58(3):513-527.
[19]TURNER C A,JACOBS A D,MARQUES C K,et al.Word2Vec inversion and traditional text classifiers for phenotyping lupus[J].Bmc Medical Informatics & Decision Making,2017,17(1):126.
[20]ZHANG B,SUN Y,LI M Y,et al.Medical Text Classification Based on Transfer Learning and Deep Learning[J].Journal of Shanxi University(Natural Science Edition),2020,43(4):947-954.
[21]ZHOU Y C,CUI Z F,FAN S P,et al.Deep-learning-based biomedical text classification[J].Chinese Journal of Medical Library and Information Science,2019,28(11):1-10
[22]YE H,ZHOU Y R,CAO D,et al.Intelligent Classification of Medical History in Chinese Medical Records Based on Deep Learning[J].China Digital Medicine,2019,14(3):41-43.
[23]HUANG L,DU C S.Application of recurrent neural networks in text classification[J].Journal of Beijing University of Chemical Technology(Natural Science Edition),2017,44(1):98-104.
[24]LUO J,CHEN L F.Sentiment classification of incomplete data based on bidirectional encoder representations from transfor-mers[J].Journal of Computer Applications.
[25]CHEN J,MA J,LI X F.A Short Text Classification MethodBased on the Fused Text Features of Pre-trained Models[J].Data Analysis and Knowledge Discovery,2021,5(9):21-30.
[26]DEVLIN J,CHANG M W,LEE K,et al.BERT:Pre-training of Deep Bidirectional Transformers for Language Understanding[J].arXiv.1810.04805,2018.
[27]VASWANI A,SHAZEER N,PARMAR N,et al.Attention Is All You Need[J].arXiv.1706.03762,2017.
[28]ZHANG H,JIA T Y,LUO F,et al.Study on Predicting Psychological Traits of Online Text by BERT[J].Journal of Frontiers of Computer Science and Technology,2021,15(8):10.
[29]YANG P,DONG W Y.Chinese Named Entity RecognitionMethod Based on BERT Embedding[J].Computer Engineering,2020,46(4):40-45,52.
[30]SHAO Y F,LI H R,GU J H,et al.Extraction of causal relations based on SBEL and BERT model[J].Database The Journal of Biological Databases and Curation,2021.DOI:10.1093/database/baab005.
[31]WANG Y,CHEN Y R,HAN Z L,et al.Short-Term WindSpeed Forecasting Model Based on Mutual Information and Recursive Neural Network[J].Journal of Shanghai Jiao Tong University,2021,55(9):1080-1086.
[32]ZHOU S Y,FU R,LI J.Zeus at HASOC 2020:Hate speech detection based on ALBERT-DPCNN[J].FIRE (Working Notes),2020:195-201.

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Literature Classification of Individual Reports of Adverse Drug Reactions Based on BERT and CNN

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