Search Results - "predictive modelling"

Predicting live birth chances for women with multiple consecutive failing IVF cycles: a simple and accurate prediction for routine medical practice by Porcu Géraldine, Lehert Philippe, Colella Carolina, Giorgetti Claude

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How Data Analytics and Big Data Can Help Scientists in Managing COVID-19 Diffusion: Modeling Study to Predict the COVID-19 Diffusion in Italy and the Lombardy Region by Tosi, Davide, Campi, Alessandro

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Assessing the depression risk in the U.S. adults using nomogram by Yafeng Zhang, Wei Tian, Xinhao Han, Guangcan Yan, Yuanshuo Ma, Shan Huo, Yu Shi, Shanshan Dai, Xin Ni, Zhe Li, Lihua Fan, Qiuju Zhang

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A nomogram of suicidal ideation among men who have sex with men in China: Based on the integrated motivational-volitional model of suicidal behavior by Chen Xu, Zuxin Wang, Shangbin Liu, Hui Chen, Yingjie Chen, Danni Xia, Yufei Chen, Huifang Xu, Fan Hu, Ying Wang, Yong Cai, Jianyu Chen, Jianyu Chen

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Incomplete immune reconstitution and its predictors in people living with HIV in Wuhan, China by Wenyuan Zhang, Jisong Yan, Hong Luo, Xianguang Wang, Lianguo Ruan

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The multivariate cox regression model for complete enteral nutrition after primary anastomosis in neonates with intestinal atresia by Yang Chen, Yang Chen, Le-dao Zhu, Ling Zhou, Ai-hui Guan, Ai-hui Guan, Zhi-yong Wang, Dong Xiao, Xiao-peng Ma, Feng Ren

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Factors affecting HPV infection in U.S. and Beijing females: A modeling study by Huixia Yang, Yujin Xie, Rui Guan, Yanlan Zhao, Weihua Lv, Ying Liu, Feng Zhu, Huijuan Liu, Xinxiang Guo, Zhen Tang, Haijing Li, Yu Zhong, Bin Zhang, Hong Yu

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Development and validation of questionnaire-based machine learning models for predicting all-cause mortality in a representative population of China by Ziyi Li, Na Yang, Liyun He, Jialu Wang, Fan Ping, Wei Li, Lingling Xu, Huabing Zhang, Yuxiu Li

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The RECIPE study: reducing emergency Caesareans and improving the Primiparous experience: a blinded, prospective, observational study by Niamh C Murphy, Naomi Burke, Patrick Dicker, Fiona Cody, Etaoin Kent, Elizabeth C Tully, Fergal D Malone, Fionnuala M Breathnach

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Development of a mortality score to assess risk of adverse drug reactions among hospitalized patients with moderate to severe chronic kidney disease by Monica Danial, Mohamed Azmi Hassali, Ong Loke Meng, Yoon Chee Kin, Amer Hayat Khan

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Prediction of the risk of cytopenia in hospitalized HIV/AIDS patients using machine learning methods based on electronic medical records by Liling Huang, Bo Xie, Kai Zhang, Yuanlong Xu, Lingsong Su, Yu Lv, Yangjie Lu, Jianqiu Qin, Xianwu Pang, Hong Qiu, Lanxiang Li, Xihua Wei, Kui Huang, Zhihao Meng, Yanling Hu, Yanling Hu, Yanling Hu, Jiannan Lv, Jiannan Lv

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The TRIPOD Statement: how to present the results of diagnostic and prognostic studies by I. P. Kolos, D. A. Anichkov, S. A. Boytsov

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A Review on Logistic Regression in Medical Research by Nihar Ranjan Panda

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Model development for anemia prediction in pregnancy by Siti Rahayu Nadhiroh, Armedy Ronny Hasugian, Nurhayati, Aisyah Dewi Muthiah, Allisa Nadhira Permata Arinda Putri

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Application of machine learning combined with population pharmacokinetics to improve individual prediction of vancomycin clearance in simulated adult patients by Guodong Li, Yubo Sun, Liping Zhu

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Posttraumatic growth in children aged 8-18 years with malignancies in China by Yi-Xuan Liu, Qian Liu, Lu Yu, Lin Mo

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Prediction of Tacrolimus Dose/Weight-Adjusted Trough Concentration in Pediatric Refractory Nephrotic Syndrome: A Machine Learning Approach by Mo X, Chen X, Wang X, Zhong X, Liang H, Wei Y, Deng H, Hu R, Zhang T, Chen Y, Gao X, Huang M, Li J

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Do you know your r2? by Alex Avdeef

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Parametric optimization and modeling for flank wear of TiSiN-TiAlN Nanolaminate Cutting Insert / M. Kaladhar by M., Kaladhar

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Genetic algorithm-assisted machine learning for clinical pregnancy prediction in in vitro fertilizationAJOG Global Reports at a Glance by Claudio Michael Louis, SKom, BEng, Nining Handayani, DVM, MBiomed, Tri Aprilliana, BPH, Arie A. Polim, MD, SpOG, DMAS, MBHRE, Arief Boediono, DVM, PhD, Ivan Sini, MD, FRANZOG, GDRM, MMIS, SpOG

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