{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:14:46Z","timestamp":1750220086511,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,5,26]],"date-time":"2022-05-26T00:00:00Z","timestamp":1653523200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,5,26]]},"DOI":"10.1145\/3538950.3538966","type":"proceedings-article","created":{"date-parts":[[2022,7,19]],"date-time":"2022-07-19T19:07:39Z","timestamp":1658257659000},"page":"122-126","source":"Crossref","is-referenced-by-count":1,"title":["Research on Cancer Diagnosis Method Based on LightGBM-Gridsearchcv"],"prefix":"10.1145","author":[{"given":"Chunzhi","family":"Wu","sequence":"first","affiliation":[{"name":"School of Computer, North China Institute of Aerospace Engineering, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaofei","family":"Xue","sequence":"additional","affiliation":[{"name":"School of Computer, North China Institute of Aerospace Engineering, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongtao","family":"Song","sequence":"additional","affiliation":[{"name":"School of Computer, North China Institute of Aerospace Engineering, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,7,19]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Medical decision support system for cancer treatment in precision medicine in developing countries[J]. Expert Systems with Applications","author":"Yu G","year":"2021","unstructured":"Yu G , Chen Z , Wu J , Medical decision support system for cancer treatment in precision medicine in developing countries[J]. Expert Systems with Applications , 2021 (7):115725. Yu G , Chen Z , Wu J , Medical decision support system for cancer treatment in precision medicine in developing countries[J]. Expert Systems with Applications, 2021(7):115725."},{"issue":"9","key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2020\/5363549","article-title":"System for the Detection and Staging of Prostate Cancer in Developing Countries[J]","volume":"2020","author":"Zhang J","year":"2020","unstructured":"Zhang J , Chen Z , Wu J , An Intelligent Decision-Making Support System for the Detection and Staging of Prostate Cancer in Developing Countries[J] . Computational and Mathematical Methods in Medicine , 2020 , 2020 ( 9 ): 1 - 18 . Zhang J , Chen Z , Wu J , An Intelligent Decision-Making Support System for the Detection and Staging of Prostate Cancer in Developing Countries[J]. Computational and Mathematical Methods in Medicine, 2020, 2020(9):1-18.","journal-title":"Computational and Mathematical Methods in Medicine"},{"key":"e_1_3_2_1_3_1","volume-title":"Big Medical Data Decision-Making Intelligent System Exploiting Fuzzy Inference Logic for Prostate Cancer in Developing Countries[J]","author":"Liu K","year":"2018","unstructured":"Liu K , Chen Z , Wu J , Big Medical Data Decision-Making Intelligent System Exploiting Fuzzy Inference Logic for Prostate Cancer in Developing Countries[J] . IEEE Access , 2018 . Liu K , Chen Z , Wu J , Big Medical Data Decision-Making Intelligent System Exploiting Fuzzy Inference Logic for Prostate Cancer in Developing Countries[J]. IEEE Access, 2018."},{"key":"e_1_3_2_1_4_1","volume-title":"Ebiomedicine","author":"Chihua","year":"2019","unstructured":"Chihua , Fang, Peng , Digital and intelligent liver surgery in the new era: Prospects and dilemmas.[J] . Ebiomedicine , 2019 . Chihua, Fang, Peng, Digital and intelligent liver surgery in the new era: Prospects and dilemmas.[J]. Ebiomedicine, 2019."},{"key":"e_1_3_2_1_5_1","volume-title":"Diagnostic and Treatment Features of Stroke Patients Based on RAPID Artificial Intelligent (RAPID AI) Software Analysis in Phu Tho Provincial General Hospital in Vietnam (Preprint)","author":"Nguyen N H","year":"2021","unstructured":"Nguyen N H , Hoang M V , An Q N , Diagnostic and Treatment Features of Stroke Patients Based on RAPID Artificial Intelligent (RAPID AI) Software Analysis in Phu Tho Provincial General Hospital in Vietnam (Preprint) . 2021 . Nguyen N H , Hoang M V , An Q N , Diagnostic and Treatment Features of Stroke Patients Based on RAPID Artificial Intelligent (RAPID AI) Software Analysis in Phu Tho Provincial General Hospital in Vietnam (Preprint). 2021."},{"key":"e_1_3_2_1_6_1","first-page":"1","volume-title":"IEEE Access","author":"Su Y","year":"2020","unstructured":"Su Y , Su L . Intelligent Medical Rehabilitation Training Instrument Based on Movement Coordination[J] . IEEE Access , 2020 , PP(99): 1 - 1 . Su Y , Su L . Intelligent Medical Rehabilitation Training Instrument Based on Movement Coordination[J]. IEEE Access, 2020, PP(99):1-1."},{"key":"e_1_3_2_1_7_1","volume-title":"Clinical features and neuroimaging findings in acute cerebral infarction patients using RAPID Artificial Intelligent (RAPID AI) Software Analysis \u2013 a series of 54 cases (Preprint)","author":"Nguyen N H","year":"2021","unstructured":"Nguyen N H , Hoang M V , An Q N , Clinical features and neuroimaging findings in acute cerebral infarction patients using RAPID Artificial Intelligent (RAPID AI) Software Analysis \u2013 a series of 54 cases (Preprint) . 2021 . Nguyen N H , Hoang M V , An Q N , Clinical features and neuroimaging findings in acute cerebral infarction patients using RAPID Artificial Intelligent (RAPID AI) Software Analysis \u2013 a series of 54 cases (Preprint). 2021."},{"key":"e_1_3_2_1_8_1","first-page":"012041","article-title":"Clinical intelligent system for the diagnosis of prostate cancer[J]","volume":"1189","author":"Nikitaev V G","year":"2019","unstructured":"Nikitaev V G , Pronichev A N , Selchuk V Y , Clinical intelligent system for the diagnosis of prostate cancer[J] . Journal of Physics: Conference Series , 2019 , 1189 : 012041 -. Nikitaev V G , Pronichev A N , Selchuk V Y , Clinical intelligent system for the diagnosis of prostate cancer[J]. Journal of Physics: Conference Series, 2019, 1189:012041-.","journal-title":"Journal of Physics: Conference Series"},{"issue":"7","key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","first-page":"3983","DOI":"10.1073\/pnas.0530291100","article-title":"Prospective identification of tumorigenic breast cancer cells[J]","volume":"100","author":"Al H M","year":"2003","unstructured":"Al H M , Wicha M S , Benito H A , Prospective identification of tumorigenic breast cancer cells[J] . Proceedings of the National Academy of Sciences of the United States of America , 2003 , 100 ( 7 ):P. 3983 - 3988 . Al H M , Wicha M S , Benito H A , Prospective identification of tumorigenic breast cancer cells[J]. Proceedings of the National Academy of Sciences of the United States of America, 2003, 100(7):P.3983-3988.","journal-title":"Proceedings of the National Academy of Sciences of the United States of America"},{"key":"e_1_3_2_1_10_1","volume-title":"Cancer Genetics & Cytogenetics","author":"Dennis J","year":"1989","unstructured":"Dennis , J , Slamon , Studies of the HER-2\/neu Proto-Oncogene in Human Breast Cancer[J] . Cancer Genetics & Cytogenetics , 1989 . Dennis, J, Slamon, Studies of the HER-2\/neu Proto-Oncogene in Human Breast Cancer[J]. Cancer Genetics & Cytogenetics, 1989."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Slamon D J Clark G M Wong S G Human breast cancer: correlation of relapse and survival with amplification of the HER-2\/neu oncogene[J]. Science 235.  Slamon D J Clark G M Wong S G Human breast cancer: correlation of relapse and survival with amplification of the HER-2\/neu oncogene[J]. Science 235.","DOI":"10.1126\/science.3798106"},{"key":"e_1_3_2_1_12_1","unstructured":"NCI_SEER_Overview Overview of the SEER Program Surveillance Epidemiology and End Results[EB\/OL]. https:\/\/seer.cancer.gov\/about\/.  NCI_SEER_Overview Overview of the SEER Program Surveillance Epidemiology and End Results[EB\/OL]. https:\/\/seer.cancer.gov\/about\/."},{"key":"e_1_3_2_1_13_1","volume-title":"2020 International Conference on Electronics and Sustainable Communication Systems (ICESC). IEEE","author":"Murtirawat R","year":"2020","unstructured":"Murtirawat R , Panchal S , Singh V K , Breast Cancer Detection Using K-Nearest Neighbors, Logistic Regression and Ensemble Learning[C]\/\/ 2020 International Conference on Electronics and Sustainable Communication Systems (ICESC). IEEE , 2020 . Murtirawat R , Panchal S , Singh V K , Breast Cancer Detection Using K-Nearest Neighbors, Logistic Regression and Ensemble Learning[C]\/\/ 2020 International Conference on Electronics and Sustainable Communication Systems (ICESC). IEEE, 2020."},{"key":"e_1_3_2_1_14_1","volume-title":"K-nearest neighbors algorithm (KNN) and artificial neural networks (ANN) accurately predicting malignancy of breast cancer (BC)","author":"O'Shea B .","year":"2020","unstructured":"O'Shea B . K-nearest neighbors algorithm (KNN) and artificial neural networks (ANN) accurately predicting malignancy of breast cancer (BC) . 2020 . O'Shea B . K-nearest neighbors algorithm (KNN) and artificial neural networks (ANN) accurately predicting malignancy of breast cancer (BC). 2020."},{"key":"e_1_3_2_1_15_1","volume-title":"Chinese Journal of Medical Physics","author":"Lai S","year":"2019","unstructured":"Lai S , Liu Q , Liling Y U , Construction of breast cancer prediction model based on SFS-SVM[J] . Chinese Journal of Medical Physics , 2019 . Lai S , Liu Q , Liling Y U , Construction of breast cancer prediction model based on SFS-SVM[J]. Chinese Journal of Medical Physics, 2019."},{"key":"e_1_3_2_1_16_1","volume-title":"An introduction to support vector machines and other kernel-based learning methods[M]. Printed in the United Kingdom at the University Press","author":"CristianintNello","year":"2000","unstructured":"CristianintNello . An introduction to support vector machines and other kernel-based learning methods[M]. Printed in the United Kingdom at the University Press , 2000 . CristianintNello. An introduction to support vector machines and other kernel-based learning methods[M]. Printed in the United Kingdom at the University Press, 2000."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.5555\/152181"},{"key":"e_1_3_2_1_18_1","volume-title":"UCI Machine Learning Repository","author":"Bache K","year":"2013","unstructured":"Bache K , Lichman M . UCI Machine Learning Repository . 2013 . Bache K , Lichman M . UCI Machine Learning Repository. 2013."},{"issue":"4","key":"e_1_3_2_1_19_1","first-page":"886","article-title":"Pattern Recognition and Machine Learning[J]","volume":"103","author":"Abramson N","year":"2006","unstructured":"Abramson N , Braverman D J , Sebestyen G S . Pattern Recognition and Machine Learning[J] . Publications of the American Statistical Association , 2006 , 103 ( 4 ): 886 - 887 . Abramson N , Braverman D J , Sebestyen G S . Pattern Recognition and Machine Learning[J]. Publications of the American Statistical Association, 2006, 103(4):886-887.","journal-title":"Publications of the American Statistical Association"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(96)00142-2"},{"key":"e_1_3_2_1_21_1","volume-title":"Knowledge Discovery & Data Mining","author":"Alsabti K","year":"1998","unstructured":"Alsabti K , Ranka S , Singh V. CLOUDS : A Decision Tree Classifier for Large Datasets[J] . Knowledge Discovery & Data Mining , 1998 . Alsabti K, Ranka S, Singh V. CLOUDS: A Decision Tree Classifier for Large Datasets[J]. Knowledge Discovery & Data Mining, 1998."},{"key":"e_1_3_2_1_22_1","first-page":"3146","article-title":"A Highly Efficient Gradient Boosting Decision Tree[C]","volume":"2017","author":"Ke G","unstructured":"Ke G , Meng Q , Finley T , Light GBM : A Highly Efficient Gradient Boosting Decision Tree[C] , Advances in Neural Information Processing Systems , 2017 : 3146 - 3154 . Ke G, Meng Q, Finley T, LightGBM: A Highly Efficient Gradient Boosting Decision Tree[C], Advances in Neural Information Processing Systems, 2017: 3146-3154.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_23_1","volume-title":"UCI Machine Learning Repository [http:\/\/archive.ics.uci.edu\/ml]","author":"Dua D.","year":"2019","unstructured":"Dua , D. and Graff , C . ( 2019 ). UCI Machine Learning Repository [http:\/\/archive.ics.uci.edu\/ml] . Irvine, CA : University of California , School of Information and Computer Science. Dua, D. and Graff, C. (2019). UCI Machine Learning Repository [http:\/\/archive.ics.uci.edu\/ml]. Irvine, CA: University of California, School of Information and Computer Science."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","unstructured":"Sung H Ferlay J Siegel RL Laversanne M Soerjomataram I Jemal A Bray F. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2021 May;71(3):209-249. doi: 10.3322\/caac.21660. Epub 2021 Feb 4. PMID: 33538338.  Sung H Ferlay J Siegel RL Laversanne M Soerjomataram I Jemal A Bray F. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2021 May;71(3):209-249. doi: 10.3322\/caac.21660. Epub 2021 Feb 4. PMID: 33538338.","DOI":"10.3322\/caac.21660"}],"event":{"name":"BDE 2022: 2022 4th International Conference on Big Data Engineering","acronym":"BDE 2022","location":"Beijing China"},"container-title":["2022 4th International Conference on Big Data Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3538950.3538966","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3538950.3538966","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:09:40Z","timestamp":1750183780000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3538950.3538966"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,26]]},"references-count":24,"alternative-id":["10.1145\/3538950.3538966","10.1145\/3538950"],"URL":"https:\/\/doi.org\/10.1145\/3538950.3538966","relation":{},"subject":[],"published":{"date-parts":[[2022,5,26]]}}}