Artigos de revistas sobre o tema "Personalized prediction"
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Galetzka, Wolfgang, Bernd Kowall, Cynthia Jusi, Eva-Maria Huessler e Andreas Stang. "Distance-Metric Learning for Personalized Survival Analysis". Entropy 25, n.º 10 (30 de setembro de 2023): 1404. http://dx.doi.org/10.3390/e25101404.
Texto completo da fonteThoma, Clemens. "Personalized response prediction". Nature Reviews Gastroenterology & Hepatology 15, n.º 11 (2 de outubro de 2018): 657. http://dx.doi.org/10.1038/s41575-018-0072-z.
Texto completo da fonteLiu, Jie, Bin Liu, Yanchi Liu, Huipeng Chen, Lina Feng, Hui Xiong e Yalou Huang. "Personalized Air Travel Prediction". ACM Transactions on Intelligent Systems and Technology 9, n.º 3 (13 de fevereiro de 2018): 1–26. http://dx.doi.org/10.1145/3078845.
Texto completo da fonteTAYEBI, MOHAMMAD A., UWE GLÄSSER, MARTIN ESTER e PATRICIA L. BRANTINGHAM. "Personalized crime location prediction". European Journal of Applied Mathematics 27, n.º 3 (28 de abril de 2016): 422–50. http://dx.doi.org/10.1017/s0956792516000140.
Texto completo da fonteGusev, I. V., D. V. Gavrilov, R. E. Novitsky, T. Yu Kuznetsova e S. A. Boytsov. "Improvement of cardiovascular risk assessment using machine learning methods". Russian Journal of Cardiology 26, n.º 12 (25 de outubro de 2021): 4618. http://dx.doi.org/10.15829/1560-4071-2021-4618.
Texto completo da fonteLocalio, A. Russell, Cynthia D. Mulrow e Michael E. Griswold. "Advancing Personalized Medicine Through Prediction". Annals of Internal Medicine 172, n.º 1 (12 de novembro de 2019): 63. http://dx.doi.org/10.7326/m19-3010.
Texto completo da fonteXu, Yanyu, Shenghua Gao, Junru Wu, Nianyi Li e Jingyi Yu. "Personalized Saliency and Its Prediction". IEEE Transactions on Pattern Analysis and Machine Intelligence 41, n.º 12 (1 de dezembro de 2019): 2975–89. http://dx.doi.org/10.1109/tpami.2018.2866563.
Texto completo da fonteVassileva, Vessela. "Prostate cancer—personalized response prediction". Nature Reviews Clinical Oncology 6, n.º 11 (novembro de 2009): 618. http://dx.doi.org/10.1038/nrclinonc.2009.156.
Texto completo da fonteLee, Chuan-Chun, Chia-Jui Yen e Tsunglin Liu. "Prediction of personalized microRNA activity". Gene 518, n.º 1 (abril de 2013): 101–6. http://dx.doi.org/10.1016/j.gene.2012.11.068.
Texto completo da fonteChen, Rirong, Jieqi Zheng, Li Li, Chao Li, Kang Chao, Zhirong Zeng, Minhu Chen e Shenghong Zhang. "Metabolomics facilitate the personalized management in inflammatory bowel disease". Therapeutic Advances in Gastroenterology 14 (janeiro de 2021): 175628482110644. http://dx.doi.org/10.1177/17562848211064489.
Texto completo da fontePuranikath, Jagadevi, Fathima Farheen, Aruna Patil e Aishwarya K. M. "Analysis and Prediction of Multiple Disease using Machine Learning". International Journal for Research in Applied Science and Engineering Technology 12, n.º 5 (31 de maio de 2024): 3570–74. http://dx.doi.org/10.22214/ijraset.2024.62250.
Texto completo da fonteAnis, Hiba K., Gregory J. Strnad, Alison K. Klika, Alexander Zajichek, Kurt P. Spindler, Wael K. Barsoum, Carlos A. Higuera e Nicolas S. Piuzzi. "Developing a personalized outcome prediction tool for knee arthroplasty". Bone & Joint Journal 102-B, n.º 9 (1 de setembro de 2020): 1183–93. http://dx.doi.org/10.1302/0301-620x.102b9.bjj-2019-1642.r1.
Texto completo da fonteKyrochristos, Ioannis D., Demosthenes E. Ziogas e Dimitrios H. Roukos. "Precision in personalized prediction-based medicine". Personalized Medicine 15, n.º 6 (novembro de 2018): 467–70. http://dx.doi.org/10.2217/pme-2018-0079.
Texto completo da fonteZheng, Zibin, e Michael R. Lyu. "Personalized Reliability Prediction of Web Services". ACM Transactions on Software Engineering and Methodology 22, n.º 2 (março de 2013): 1–25. http://dx.doi.org/10.1145/2430545.2430548.
Texto completo da fonteLi, Juan, e Chandima Fernando. "Smartphone-based personalized blood glucose prediction". ICT Express 2, n.º 4 (dezembro de 2016): 150–54. http://dx.doi.org/10.1016/j.icte.2016.10.001.
Texto completo da fonteWang, Yan, Xinyu Bao, Song Zhang, Lin Yang, Guoli Liu, Yimin Yang, Xuwen Li et al. "Fetal growth prediction: Establishing fetal growth prediction curves in the second trimester". Technology and Health Care 29 (25 de março de 2021): 345–50. http://dx.doi.org/10.3233/thc-218032.
Texto completo da fontePei, Zejun, Manhong Shi, Junping Guo e Bairong Shen. "Heart Rate Variability Based Prediction of Personalized Drug Therapeutic Response: The Present Status and the Perspectives". Current Topics in Medicinal Chemistry 20, n.º 18 (24 de agosto de 2020): 1640–50. http://dx.doi.org/10.2174/1568026620666200603105002.
Texto completo da fonteCai, Weihong, Xin Du e Jianlong Xu. "A Personalized QoS Prediction Method for Web Services via Blockchain-Based Matrix Factorization". Sensors 19, n.º 12 (19 de junho de 2019): 2749. http://dx.doi.org/10.3390/s19122749.
Texto completo da fonteZhang, Zhijun, Gongwen Xu e Pengfei Zhang. "Research on E-Commerce Platform-Based Personalized Recommendation Algorithm". Applied Computational Intelligence and Soft Computing 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/5160460.
Texto completo da fonteWang, Bingkun, Bing Chen, Li Ma e Gaiyun Zhou. "User-Personalized Review Rating Prediction Method Based on Review Text Content and User-Item Rating Matrix". Information 10, n.º 1 (20 de dezembro de 2018): 1. http://dx.doi.org/10.3390/info10010001.
Texto completo da fonteLococo, Filippo, Galal Ghaly, Marco Chiappetta, Sara Flamini, Jessica Evangelista, Emilio Bria, Alessio Stefani et al. "Implementation of Artificial Intelligence in Personalized Prognostic Assessment of Lung Cancer: A Narrative Review". Cancers 16, n.º 10 (10 de maio de 2024): 1832. http://dx.doi.org/10.3390/cancers16101832.
Texto completo da fonteBabu, Mr M. Jeevan. "Mental Health Prediction Using Catboost Algorithm". International Journal for Research in Applied Science and Engineering Technology 12, n.º 3 (31 de março de 2024): 3449–53. http://dx.doi.org/10.22214/ijraset.2024.59219.
Texto completo da fonteWang, W. C. "Personalized Prediction Model for Hepatocellular Carcinoma With a Bayesian Clinical Reasoning Approach". Journal of Global Oncology 4, Supplement 2 (1 de outubro de 2018): 210s. http://dx.doi.org/10.1200/jgo.18.84600.
Texto completo da fonteXu, Ziqi, Jingwen Zhang, Jacob Greenberg, Madelyn Frumkin, Saad Javeed, Justin K. Zhang, Braeden Benedict et al. "Predicting Multi-dimensional Surgical Outcomes with Multi-modal Mobile Sensing". Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 8, n.º 2 (13 de maio de 2024): 1–30. http://dx.doi.org/10.1145/3659628.
Texto completo da fontePark, Hayoung, Se Young Jung, Min Kyu Han, Yeonhoon Jang, Yeo Rae Moon, Taewook Kim, Soo-Yong Shin e Hee Hwang. "Lowering Barriers to Health Risk Assessments in Promoting Personalized Health Management". Journal of Personalized Medicine 14, n.º 3 (18 de março de 2024): 316. http://dx.doi.org/10.3390/jpm14030316.
Texto completo da fonteToivonen, Jarkko, Yrjö Koski, Esa Turkulainen, Femmeke Prinsze, Pietro della Briotta Parolo, Markus Heinonen e Mikko Arvas. "Prediction and impact of personalized donation intervals". Vox Sanguinis 117, n.º 4 (26 de novembro de 2021): 504–12. http://dx.doi.org/10.1111/vox.13223.
Texto completo da fonteBao, Naren, Alexander Carballo, Chiyomi Miyajima, Eijiro Takeuchi e Kazuya Takeda. "Personalized Subjective Driving Risk: Analysis and Prediction". Journal of Robotics and Mechatronics 32, n.º 3 (20 de junho de 2020): 503–19. http://dx.doi.org/10.20965/jrm.2020.p0503.
Texto completo da fonteJiang, Miao, Yi Fang, Huangming Xie, Jike Chong e Meng Meng. "User click prediction for personalized job recommendation". World Wide Web 22, n.º 1 (23 de abril de 2018): 325–45. http://dx.doi.org/10.1007/s11280-018-0568-z.
Texto completo da fonteLiu, Jin-Hu, Yu-Xiao Zhu e Tao Zhou. "Improving personalized link prediction by hybrid diffusion". Physica A: Statistical Mechanics and its Applications 447 (abril de 2016): 199–207. http://dx.doi.org/10.1016/j.physa.2015.12.036.
Texto completo da fonteFan, Yali, Zhen Tu, Yong Li, Xiang Chen, Hui Gao, Lin Zhang, Li Su e Depeng Jin. "Personalized Context-aware Collaborative Online Activity Prediction". Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 3, n.º 4 (11 de dezembro de 2019): 1–28. http://dx.doi.org/10.1145/3369829.
Texto completo da fonteFan, Zipei, Xuan Song, Renhe Jiang, Quanjun Chen e Ryosuke Shibasaki. "Decentralized Attention-based Personalized Human Mobility Prediction". Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 3, n.º 4 (11 de dezembro de 2019): 1–26. http://dx.doi.org/10.1145/3369830.
Texto completo da fonteZeevi, David, Tal Korem, Niv Zmora, David Israeli, Daphna Rothschild, Adina Weinberger, Orly Ben-Yacov et al. "Personalized Nutrition by Prediction of Glycemic Responses". Cell 163, n.º 5 (novembro de 2015): 1079–94. http://dx.doi.org/10.1016/j.cell.2015.11.001.
Texto completo da fonteVinarti, Retno A., e Lucy M. Hederman. "A personalized infectious disease risk prediction system". Expert Systems with Applications 131 (outubro de 2019): 266–74. http://dx.doi.org/10.1016/j.eswa.2019.04.042.
Texto completo da fonte., Sangeeta. "Pharmacogenomics: Personalized medicine and drug response prediction". Pharma Innovation 8, n.º 1 (1 de janeiro de 2019): 845–48. http://dx.doi.org/10.22271/tpi.2019.v8.i1n.25487.
Texto completo da fonteLo, Adeline, Herman Chernoff, Tian Zheng e Shaw-Hwa Lo. "Why significant variables aren’t automatically good predictors". Proceedings of the National Academy of Sciences 112, n.º 45 (26 de outubro de 2015): 13892–97. http://dx.doi.org/10.1073/pnas.1518285112.
Texto completo da fonteAlharbi, Eman, Asma Cherif e Farrukh Nadeem. "Adaptive Smart eHealth Framework for Personalized Asthma Attack Prediction and Safe Route Recommendation". Smart Cities 6, n.º 5 (20 de outubro de 2023): 2910–31. http://dx.doi.org/10.3390/smartcities6050130.
Texto completo da fonteToffanin, Chiara, Eleonora Maria Aiello, Claudio Cobelli e Lalo Magni. "Hypoglycemia Prevention via Personalized Glucose-Insulin Models Identified in Free-Living Conditions". Journal of Diabetes Science and Technology 13, n.º 6 (23 de outubro de 2019): 1008–16. http://dx.doi.org/10.1177/1932296819880864.
Texto completo da fonteAn, Ziyan, Taylor T. Johnson e Meiyi Ma. "Formal Logic Enabled Personalized Federated Learning through Property Inference". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 10 (24 de março de 2024): 10882–90. http://dx.doi.org/10.1609/aaai.v38i10.28962.
Texto completo da fonteGiglia, Giuseppe, Giuditta Gambino e Pierangelo Sardo. "Through Predictive Personalized Medicine". Brain Sciences 10, n.º 9 (28 de agosto de 2020): 594. http://dx.doi.org/10.3390/brainsci10090594.
Texto completo da fonteNandedkar, Ameya, Chaitanya Gadve, Chirag Gowda, Shashwat Deep e Rahesha Mulla. "Athlete Performance Prediction Using Random Forest". International Journal for Research in Applied Science and Engineering Technology 12, n.º 5 (31 de maio de 2024): 2370–77. http://dx.doi.org/10.22214/ijraset.2024.62112.
Texto completo da fonteRomero-Garmendia, Irati, e Koldo Garcia-Etxebarria. "From Omic Layers to Personalized Medicine in Colorectal Cancer: The Road Ahead". Genes 14, n.º 7 (11 de julho de 2023): 1430. http://dx.doi.org/10.3390/genes14071430.
Texto completo da fonteSánchez-Herrero, Sergio, Laura Calvet e Angel A. Juan. "Machine Learning Models for Predicting Personalized Tacrolimus Stable Dosages in Pediatric Renal Transplant Patients". BioMedInformatics 3, n.º 4 (14 de outubro de 2023): 926–47. http://dx.doi.org/10.3390/biomedinformatics3040057.
Texto completo da fonteUghade, Ashwini Arun. "Personalized Location Recommendation System Personalized Location Recommendation System". International Journal of Applied Evolutionary Computation 10, n.º 1 (janeiro de 2019): 49–58. http://dx.doi.org/10.4018/ijaec.2019010104.
Texto completo da fonteDOSAY-AKBULUT, Mine. "A Review on Determination and Future of the Predictive and Personalized Medicine". International Journal of Biology 8, n.º 1 (11 de novembro de 2015): 32. http://dx.doi.org/10.5539/ijb.v8n1p32.
Texto completo da fonteShreve, Jacob Tyler, Sarah Lee, Christina Felix, Rachel Benish Shirley, Cameron Beau Hilton, Nathan Radakovich, James Stevenson, Alberto J. Montero e Aziz Nazha. "A personalized prediction model for hospital readmission risk for cancer patients." Journal of Clinical Oncology 38, n.º 15_suppl (20 de maio de 2020): 7057. http://dx.doi.org/10.1200/jco.2020.38.15_suppl.7057.
Texto completo da fonteMa, Liantao, Chaohe Zhang, Yasha Wang, Wenjie Ruan, Jiangtao Wang, Wen Tang, Xinyu Ma, Xin Gao e Junyi Gao. "ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 01 (3 de abril de 2020): 833–40. http://dx.doi.org/10.1609/aaai.v34i01.5428.
Texto completo da fonteNagraj, Shruthi, e Blessed Prince Palayyan. "Personalized E-commerce based recommendation systems using deep-learning techniques". IAES International Journal of Artificial Intelligence (IJ-AI) 13, n.º 1 (1 de março de 2024): 610. http://dx.doi.org/10.11591/ijai.v13.i1.pp610-618.
Texto completo da fonteMarko, Nicholas F., Robert J. Weil, Jason L. Schroeder, Frederick F. Lang, Dima Suki e Raymond E. Sawaya. "Extent of Resection of Glioblastoma Revisited: Personalized Survival Modeling Facilitates More Accurate Survival Prediction and Supports a Maximum-Safe-Resection Approach to Surgery". Journal of Clinical Oncology 32, n.º 8 (10 de março de 2014): 774–82. http://dx.doi.org/10.1200/jco.2013.51.8886.
Texto completo da fonteXing, Wanli, e Dongping Du. "Dropout Prediction in MOOCs: Using Deep Learning for Personalized Intervention". Journal of Educational Computing Research 57, n.º 3 (15 de março de 2018): 547–70. http://dx.doi.org/10.1177/0735633118757015.
Texto completo da fonteOuzounoglou, Eleftherios, Eleni Kolokotroni, Martin Stanulla e Georgios S. Stamatakos. "A study on the predictability of acute lymphoblastic leukaemia response to treatment using a hybrid oncosimulator". Interface Focus 8, n.º 1 (15 de dezembro de 2017): 20160163. http://dx.doi.org/10.1098/rsfs.2016.0163.
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