Resultados da pesquisa - "Predictive modelling"

Machine learning prediction of antibody aggregation and viscosity for high concentration formulation development of protein therapeutics Por Pin-Kuang Lai, Austin Gallegos, Neil Mody, Hasige A. Sathish, Bernhardt L. Trout

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Evolving towards a human-cell based and multiscale approach to drug discovery for CNS disorders Por Eric eSchadt, Sean eBuchanan, Kristen eBrennand, Kalpana eMerchant

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Predictive Factors of Language Development in Persian-speaking Children Using Cochlear Implants: A Pilot Study Por Mohammad Majid Oryadi-Zanjani, Tahereh Mohammadi, Zahra Mohammadi, Maryam Vahab

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MR-based radiomics-clinical nomogram in epithelial ovarian tumor prognosis prediction: tumor body texture analysis across various acquisition protocols Por Tianping Wang, Haijie Wang, Yida Wang, Xuefen Liu, Lei Ling, Guofu Zhang, Guang Yang, He Zhang

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Effects of a New York Medicaid Care Management Program on Substance Use Disorder Treatment Services and Medicaid Spending: Implications for Defining the Target Population Por Charles J Neighbors, Rajeev Yerneni, Yi Sun, Sugy Choi, Constance Burke, Megan A O'Grady, Rebecca McDonald, Jon Morgenstern

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Statistical modeling of the effect of rainfall flushing on dengue transmission in Singapore. Por Corey M Benedum, Osama M E Seidahmed, Elfatih A B Eltahir, Natasha Markuzon

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Relationship between differentiation of self and attitude towards physician-nurse relationship in hospitals (Isfahan/Iran) Por SeyedMeysam Jafary, Mousa Alavi, Alireza Irajpour, Tayebeh Mehrabi

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Machine learning models to predict traumatic brain injury outcomes in Tanzania: Using delays to emergency care as predictors. Por Armand Zimmerman, Cyrus Elahi, Thiago Augusto Hernandes Rocha, Francis Sakita, Blandina T Mmbaga, Catherine A Staton, Joao Ricardo Nickenig Vissoci

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Factors related to retention in a longitudinal study of infants at familial risk for autism Por Sally Ozonoff, Monique M. Hill, Alesha Hill, Kevin Ashley, Gregory S. Young

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Predicting the serum digoxin concentrations of infants in the neonatal intensive care unit through an artificial neural network Por Shu-Hui Yao, Hsiang-Te Tsai, Wen-Lin Lin, Yu-Chieh Chen, Chiahung Chou, Hsiang-Wen Lin

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Case-control study on risk factors for in-hospital mortality in patients with severe COVID-19 Por Kemei Wu, Kemei Wu, Lili Yin, Jiangqin Han, Jiangqin Han, Qiuhan Cai, Yang Guo, Xin Jin, Xin Jin, Jinling Wu, Jinling Wu, Yupei Cheng, Yupei Cheng

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Using machine learning to predict lymph node metastasis in patients with renal cell carcinoma: A population-based study Por Yuhan Zhang, Xinglin Yi, Zhe Tang, Pan Xie, Na Yin, Qiumiao Deng, Lin Zhu, Hu Luo, Kanfu Peng

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Environmental and Genetic Determinants of Major Chronic Disease in Beijing-Tianjin-Hebei Region: Protocol for a Community-Based Cohort Study Por Kuo Liu, Kuo Liu, Han Cao, Han Cao, Chunyue Guo, Chunyue Guo, Li Pan, Li Pan, Ze Cui, Jixin Sun, Wei Zhao, Xiaoyan Han, Han Zhang, Zhengfang Wang, Kaijun Niu, Naijun Tang, Guangliang Shan, Guangliang Shan, Ling Zhang, Ling Zhang

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Psychophysiological effects of a web-based stress management system: A prospective, randomized controlled intervention study of IT and media workers [ISRCTN54254861] Por Theorell Töres, Anderberg Ulla, Hasson Dan, Arnetz Bengt B

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Theory Creation, Modification, and Testing: An Information Processing Model and Theory of the Anticipated and Unanticipated Consequences of Research and Development Por Rocco J. Perla, James M. Carifio

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Predicting the severity of dengue fever in children on admission based on clinical features and laboratory indicators: application of classification tree analysis Por Khansoudaphone Phakhounthong, Pimwadee Chaovalit, Podjanee Jittamala, Stuart D. Blacksell, Michael J. Carter, Paul Turner, Kheng Chheng, Soeung Sona, Varun Kumar, Nicholas P. J. Day, Lisa J. White, Wirichada Pan-ngum

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Chapter Supporting decision-makers in healthcare domain. A comparative study of two interpretative proposals for Random Forests Por Aria, Massimo

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Chapter Supporting decision-makers in healthcare domain. A comparative study of two interpretative proposals for Random Forests Por Aria, Massimo

OAPEN Library: download the publication
OAPEN Library: description of the publication

Prediction of diabetic retinopathy among type ii diabetic patients using data mining techniques / Zuraida Khairudin ... [et al.] Por Khairudin, Zuraida, Abdul Razak, Nurfatin Adila, Abd Rahman, Hezlin Aryani, Kamarudin, Norbaizura, Abd Aziz, Nor Azimah

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Optimization of an industrial methanol reactor using Aspen Plus simulator and Design Expert / Mohd Azahar Mohd Ariff ... [et al.] Por Mohd Ariff, Mohd Azahar, Mohd Nasir, Nor Adila, Abdul Rashid, Zulkifli, Rohman, Fakhrony Sholahudin

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