Статті в журналах з теми "Breast cancer prediction models"
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Kumar, Mukesh, Saurabh Singhal, Shashi Shekhar, Bhisham Sharma, and Gautam Srivastava. "Optimized Stacking Ensemble Learning Model for Breast Cancer Detection and Classification Using Machine Learning." Sustainability 14, no. 21 (October 27, 2022): 13998. http://dx.doi.org/10.3390/su142113998.
Повний текст джерелаMcCarthy, Anne Marie, Zoe Guan, Michaela Welch, Molly E. Griffin, Dorothy A. Sippo, Zhengyi Deng, Suzanne B. Coopey, et al. "Performance of Breast Cancer Risk-Assessment Models in a Large Mammography Cohort." JNCI: Journal of the National Cancer Institute 112, no. 5 (September 26, 2019): 489–97. http://dx.doi.org/10.1093/jnci/djz177.
Повний текст джерелаEngel, Christoph, and Christine Fischer. "Breast Cancer Risks and Risk Prediction Models." Breast Care 10, no. 1 (2015): 7–12. http://dx.doi.org/10.1159/000376600.
Повний текст джерелаSridevi, S. "BREAST CANCER PREDICTION WITH HYBRID ML MODELS." YMER Digital 21, no. 05 (May 31, 2022): 1524–28. http://dx.doi.org/10.37896/ymer21.05/g6.
Повний текст джерелаAntoniou, Antonis C., and Douglas F. Easton. "Risk prediction models for familial breast cancer." Future Oncology 2, no. 2 (April 2006): 257–74. http://dx.doi.org/10.2217/14796694.2.2.257.
Повний текст джерелаZheng, Yadi, Jiang Li, Zheng Wu, He Li, Maomao Cao, Ni Li, and Jie He. "Risk prediction models for breast cancer: a systematic review." BMJ Open 12, no. 7 (July 2022): e055398. http://dx.doi.org/10.1136/bmjopen-2021-055398.
Повний текст джерелаXiong, Wei, Neil Yeung, Shubo Wang, Haofu Liao, Liyun Wang, and Jiebo Luo. "Breast Cancer Induced Bone Osteolysis Prediction Using Temporal Variational Autoencoders." BME Frontiers 2022 (April 7, 2022): 1–10. http://dx.doi.org/10.34133/2022/9763284.
Повний текст джерелаMontazeri, Mitra, Mohadeseh Montazeri, Mahdieh Montazeri, and Amin Beigzadeh. "Machine learning models in breast cancer survival prediction." Technology and Health Care 24, no. 1 (January 27, 2016): 31–42. http://dx.doi.org/10.3233/thc-151071.
Повний текст джерелаChaurasia, Vikas, Saurabh Pal, and BB Tiwari. "Prediction of benign and malignant breast cancer using data mining techniques." Journal of Algorithms & Computational Technology 12, no. 2 (February 20, 2018): 119–26. http://dx.doi.org/10.1177/1748301818756225.
Повний текст джерелаZhao, Melissa, Yushi Tang, Hyunkyung Kim, and Kohei Hasegawa. "Machine Learning With K-Means Dimensional Reduction for Predicting Survival Outcomes in Patients With Breast Cancer." Cancer Informatics 17 (January 2018): 117693511881021. http://dx.doi.org/10.1177/1176935118810215.
Повний текст джерелаDomchek, Susan M., Andrea Eisen, Kathleen Calzone, Jill Stopfer, Anne Blackwood, and Barbara L. Weber. "Application of Breast Cancer Risk Prediction Models in Clinical Practice." Journal of Clinical Oncology 21, no. 4 (February 15, 2003): 593–601. http://dx.doi.org/10.1200/jco.2003.07.007.
Повний текст джерелаDutta, Shawni, Jyotsna Kumar Mandal, Tai Hoon Kim, and Samir Kumar Bandyopadhyay. "Breast Cancer Prediction Using Stacked GRU-LSTM-BRNN." Applied Computer Systems 25, no. 2 (December 1, 2020): 163–71. http://dx.doi.org/10.2478/acss-2020-0018.
Повний текст джерелаJiang, Shu (Joy), and Graham A. Colditz. "Abstract B014: Improving prediction of second events after DCIS using whole breast mammogram images." Cancer Prevention Research 15, no. 12_Supplement_1 (December 1, 2022): B014. http://dx.doi.org/10.1158/1940-6215.dcis22-b014.
Повний текст джерелаCheng, Skye H., Cheng-Fang Horng, Mike West, Erich Huang, Jennifer Pittman, Mei-Hua Tsou, Holly Dressman, et al. "Genomic Prediction of Locoregional Recurrence After Mastectomy in Breast Cancer." Journal of Clinical Oncology 24, no. 28 (October 1, 2006): 4594–602. http://dx.doi.org/10.1200/jco.2005.02.5676.
Повний текст джерелаDerouane, Françoise, Cédric van Marcke, Martine Berlière, Amandine Gerday, Latifa Fellah, Isabelle Leconte, Mieke R. Van Bockstal, Christine Galant, Cyril Corbet, and Francois P. Duhoux. "Predictive Biomarkers of Response to Neoadjuvant Chemotherapy in Breast Cancer: Current and Future Perspectives for Precision Medicine." Cancers 14, no. 16 (August 11, 2022): 3876. http://dx.doi.org/10.3390/cancers14163876.
Повний текст джерелаMinnier, Jessica, Nallakkandi Rajeevan, Lina Gao, Byung Park, Saiju Pyarajan, Paul Spellman, Sally G. Haskell, Cynthia A. Brandt, and Shiuh-Wen Luoh. "Polygenic Breast Cancer Risk for Women Veterans in the Million Veteran Program." JCO Precision Oncology, no. 5 (July 2021): 1178–91. http://dx.doi.org/10.1200/po.20.00541.
Повний текст джерелаSohrabei, Solmaz, and Alireza Atashi. "Performance Analysis of Data Mining Techniques for the Prediction Breast Cancer Risk on Big Data." Frontiers in Health Informatics 10, no. 1 (July 25, 2021): 83. http://dx.doi.org/10.30699/fhi.v10i1.296.
Повний текст джерелаKim, Geunwon, and Manisha Bahl. "Assessing Risk of Breast Cancer: A Review of Risk Prediction Models." Journal of Breast Imaging 3, no. 2 (February 19, 2021): 144–55. http://dx.doi.org/10.1093/jbi/wbab001.
Повний текст джерелаLAITMAN, YAEL, MONICA SIMEONOV, LITAL KEINAN-BOKER, IRENA LIPHSHITZ, and EITAN FRIEDMAN. "Breast cancer risk prediction accuracy in Jewish Israeli high-risk women using the BOADICEA and IBIS risk models." Genetics Research 95, no. 6 (December 2013): 174–77. http://dx.doi.org/10.1017/s0016672313000232.
Повний текст джерелаZain, Zuhaira Muhammad, Mona Alshenaifi, Abeer Aljaloud, Tamadhur Albednah, Reham Alghanim, Alanoud Alqifari, and Amal Alqahtani. "Predicting breast cancer recurrence using principal component analysis as feature extraction: an unbiased comparative analysis." International Journal of Advances in Intelligent Informatics 6, no. 3 (November 6, 2020): 313. http://dx.doi.org/10.26555/ijain.v6i3.462.
Повний текст джерелаMathew, Dr Tina Elizabeth. "An Improvised Random Forest Model for Breast Cancer Classification." NeuroQuantology 20, no. 5 (May 18, 2022): 713–22. http://dx.doi.org/10.14704/nq.2022.20.5.nq22227.
Повний текст джерелаAdnan, Nahim, Tanzira Najnin, and Jianhua Ruan. "A Robust Personalized Classification Method for Breast Cancer Metastasis Prediction." Cancers 14, no. 21 (October 29, 2022): 5327. http://dx.doi.org/10.3390/cancers14215327.
Повний текст джерелаHe, Li, Yuelong Wang, Yongning Yang, Liqiu Huang, and Zhining Wen. "Identifying the Gene Signatures from Gene-Pathway Bipartite Network Guarantees the Robust Model Performance on Predicting the Cancer Prognosis." BioMed Research International 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/424509.
Повний текст джерелаKadhim, Rania R., and Mohammed Y. Kamil. "Comparison of breast cancer classification models on Wisconsin dataset." International Journal of Reconfigurable and Embedded Systems (IJRES) 11, no. 2 (July 1, 2022): 166. http://dx.doi.org/10.11591/ijres.v11.i2.pp166-174.
Повний текст джерелаFan, Run, Yufan Chen, Sarah Nechuta, Hui Cai, Kai Gu, Liang Shi, Pingping Bao, Yu Shyr, Xiao‐Ou Shu, and Fei Ye. "Prediction models for breast cancer prognosis among Asian women." Cancer 127, no. 11 (March 11, 2021): 1758–69. http://dx.doi.org/10.1002/cncr.33425.
Повний текст джерелаMiller, Eric A., Paul F. Pinsky, Brandy M. Heckman-Stoddard, and Lori M. Minasian. "Breast cancer risk prediction models and subsequent tumor characteristics." Breast Cancer 27, no. 4 (February 13, 2020): 662–69. http://dx.doi.org/10.1007/s12282-020-01060-9.
Повний текст джерелаChlebowski, R. T., G. L. Anderson, D. S. Lane, A. Aragaki, T. Rohan, S. Yasmeen, G. Sato, C. A. Rosenberg, and F. A. Hubbell. "Predicting risk of estrogen receptor positive breast cancers in postmenopausal women." Journal of Clinical Oncology 25, no. 18_suppl (June 20, 2007): 1507. http://dx.doi.org/10.1200/jco.2007.25.18_suppl.1507.
Повний текст джерелаZhang, Zirui, and Zixuan Li. "Evaluation Methods for Breast Cancer Prediction in Machine Learning Field." SHS Web of Conferences 144 (2022): 03010. http://dx.doi.org/10.1051/shsconf/202214403010.
Повний текст джерелаMondal, Shudipti Rani, Aafreen ., and Rakesh Pal. "PREDICTION OF BREAST CANCER USING MACHINE LEARNING." International Journal of Innovative Research in Advanced Engineering 8, no. 3 (March 30, 2021): 28–33. http://dx.doi.org/10.26562/ijirae.2021.v0803.001.
Повний текст джерелаMahmoud, Mattia A., Anne Marie McCarthy, Despina Kontos, Emily Conant, Jinbo Chen, Sarah Ehsan, Lauren Pantalone, and Walter Mankowski. "Abstract P022: Quantitative measures of breast density and breast cancer risk prediction among black women in a screening population." Cancer Prevention Research 16, no. 1_Supplement (January 1, 2023): P022. http://dx.doi.org/10.1158/1940-6215.precprev22-p022.
Повний текст джерелаMonirujjaman Khan, Mohammad, Somayea Islam, Srobani Sarkar, Foyazel Iben Ayaz, Morsaleen Kabeer Ananda, Tahia Tazin, Amani Abdulrahman Albraikan, and Faris A. Almalki. "Machine Learning Based Comparative Analysis for Breast Cancer Prediction." Journal of Healthcare Engineering 2022 (April 11, 2022): 1–15. http://dx.doi.org/10.1155/2022/4365855.
Повний текст джерелаChen, Hongling, Mingyan Gao, Ying Zhang, Wenbin Liang, and Xianchun Zou. "Attention-Based Multi-NMF Deep Neural Network with Multimodality Data for Breast Cancer Prognosis Model." BioMed Research International 2019 (May 13, 2019): 1–11. http://dx.doi.org/10.1155/2019/9523719.
Повний текст джерелаLi, Huayao, Chundi Gao, Jing Zhuang, Lijuan Liu, Jing Yang, Cun Liu, Chao Zhou, Fubin Feng, Ruijuan Liu, and Changgang Sun. "An mRNA characterization model predicting survival in patients with invasive breast cancer based on The Cancer Genome Atlas database." Cancer Biomarkers 30, no. 4 (April 9, 2021): 417–28. http://dx.doi.org/10.3233/cbm-201684.
Повний текст джерелаKrishnamurthi, Rajalakshmi, Niyati Aggrawal, Lokendra Sharma, Diva Srivastava, and Shivangi Sharma. "Importance of Feature Selection and Data Visualization Towards Prediction of Breast Cancer." Recent Patents on Computer Science 12, no. 4 (August 19, 2019): 317–28. http://dx.doi.org/10.2174/2213275912666190101121058.
Повний текст джерелаSilva Araújo, Vinícius, Augusto Guimarães, Paulo de Campos Souza, Thiago Silva Rezende, and Vanessa Souza Araújo. "Using Resistin, Glucose, Age and BMI and Pruning Fuzzy Neural Network for the Construction of Expert Systems in the Prediction of Breast Cancer." Machine Learning and Knowledge Extraction 1, no. 1 (February 14, 2019): 466–82. http://dx.doi.org/10.3390/make1010028.
Повний текст джерелаJupe, E. R., D. A. Ralph, C. E. Aston, S. Manjeshwar, T. D. Pugh, B. A. Gramling, D. C. Defreese, and C. D. Shimasaki. "Genetic models for estimating age-specific risk of sporadic breast cancer." Journal of Clinical Oncology 24, no. 18_suppl (June 20, 2006): 10038. http://dx.doi.org/10.1200/jco.2006.24.18_suppl.10038.
Повний текст джерелаChen, Yong-Zi, Youngchul Kim, Hatem H. Soliman, GuoGuang Ying, and Jae K. Lee. "Single drug biomarker prediction for ER− breast cancer outcome from chemotherapy." Endocrine-Related Cancer 25, no. 6 (June 2018): 595–605. http://dx.doi.org/10.1530/erc-17-0495.
Повний текст джерелаChuang, Li-Yeh, Guang-Yu Chen, Sin-Hua Moi, Fu Ou-Yang, Ming-Feng Hou, and Cheng-Hong Yang. "Relationship between Clinicopathologic Variables in Breast Cancer Overall Survival Using Biogeography-Based Optimization Algorithm." BioMed Research International 2019 (April 1, 2019): 1–12. http://dx.doi.org/10.1155/2019/2304128.
Повний текст джерелаAlsayadi, Hamzah A., Abdelaziz A. Abdelhamid, El-Sayed M. El El-Kenawy, Abdelhameed Ibrahim, and Marwa M. Eid. "Ensemble of Machine Learning Fusion Models for Breast Cancer Detection Based on the Regression Model." Fusion: Practice and Applications 9, no. 2 (2022): 19–26. http://dx.doi.org/10.54216/fpa.090202.
Повний текст джерелаAlfian, Ganjar, Muhammad Syafrudin, Imam Fahrurrozi, Norma Latif Fitriyani, Fransiskus Tatas Dwi Atmaji, Tri Widodo, Nurul Bahiyah, Filip Benes, and Jongtae Rhee. "Predicting Breast Cancer from Risk Factors Using SVM and Extra-Trees-Based Feature Selection Method." Computers 11, no. 9 (September 12, 2022): 136. http://dx.doi.org/10.3390/computers11090136.
Повний текст джерелаXiao, Jialong, Miao Mo, Zezhou Wang, Changming Zhou, Jie Shen, Jing Yuan, Yulian He, and Ying Zheng. "The Application and Comparison of Machine Learning Models for the Prediction of Breast Cancer Prognosis: Retrospective Cohort Study." JMIR Medical Informatics 10, no. 2 (February 18, 2022): e33440. http://dx.doi.org/10.2196/33440.
Повний текст джерелаWu, Shuai, and Wenjia Xiong. "Comparison of Different Machine Learning Models in Breast Cancer." Highlights in Science, Engineering and Technology 8 (August 17, 2022): 624–29. http://dx.doi.org/10.54097/hset.v8i.1238.
Повний текст джерелаPyatchanina, T. V., and A. N. Ohorodnyk. "Risk models for breast cancer." Proceedings of the National Academy of Sciences of Belarus, Medical series 15, no. 4 (January 14, 2019): 503–10. http://dx.doi.org/10.29235/1814-6023-2018-15-4-503-510.
Повний текст джерелаLou, Shi-Jer, Ming-Feng Hou, Hong-Tai Chang, Hao-Hsien Lee, Chong-Chi Chiu, Shu-Chuan Jennifer Yeh, and Hon-Yi Shi. "Breast Cancer Surgery 10-Year Survival Prediction by Machine Learning: A Large Prospective Cohort Study." Biology 11, no. 1 (December 29, 2021): 47. http://dx.doi.org/10.3390/biology11010047.
Повний текст джерела徐, 浦. "Construction of Bioactivity Prediction Models for Breast Cancer Candidate Drugs." Advances in Applied Mathematics 10, no. 12 (2021): 4454–68. http://dx.doi.org/10.12677/aam.2021.1012474.
Повний текст джерелаGupta, Puja, and Shruti Garg. "Breast Cancer Prediction using varying Parameters of Machine Learning Models." Procedia Computer Science 171 (2020): 593–601. http://dx.doi.org/10.1016/j.procs.2020.04.064.
Повний текст джерелаThongkam, Jaree, Guandong Xu, Yanchun Zhang, and Fuchun Huang. "Toward breast cancer survivability prediction models through improving training space." Expert Systems with Applications 36, no. 10 (December 2009): 12200–12209. http://dx.doi.org/10.1016/j.eswa.2009.04.067.
Повний текст джерелаLópez, Nahúm Cueto, María Teresa García-Ordás, Facundo Vitelli-Storelli, Pablo Fernández-Navarro, Camilo Palazuelos, and Rocío Alaiz-Rodríguez. "Evaluation of Feature Selection Techniques for Breast Cancer Risk Prediction." International Journal of Environmental Research and Public Health 18, no. 20 (October 12, 2021): 10670. http://dx.doi.org/10.3390/ijerph182010670.
Повний текст джерелаMassafra, Raffaella, Maria Colomba Comes, Samantha Bove, Vittorio Didonna, Sergio Diotaiuti, Francesco Giotta, Agnese Latorre, et al. "A machine learning ensemble approach for 5- and 10-year breast cancer invasive disease event classification." PLOS ONE 17, no. 9 (September 19, 2022): e0274691. http://dx.doi.org/10.1371/journal.pone.0274691.
Повний текст джерелаMichel, Alissa, Vicky Ro, Julia E. McGuinness, Simukayi Mutasa, Richard Ha, and Katherine D. Crew. "Abstract P2-10-03: Improving breast cancer risk prediction using a convolutional neural network-based mammographic evaluation in combination with clinical risk factors." Cancer Research 82, no. 4_Supplement (February 15, 2022): P2–10–03—P2–10–03. http://dx.doi.org/10.1158/1538-7445.sabcs21-p2-10-03.
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