Search Results - "Predictive models"

Skid Resistance of Asphalt Concrete based on Mixture and Aggregate Characteristics: Predictive Model Development for Thailand by Chotisakul, S., Siripun, S., Jitsangiam, Peerapong, Horpibulsuk, S., Sangpetngam, B., Subsompon, W., Wongweeranimit, W., Chanhom, P.

Subjects: “…Predictive models…”
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Risk stratification using data from electronic medical records better predicts suicide risks than clinician assessments by Tran, Truyen, Luo, W., Phung, D., Harvey, R., Berk, M., Kennedy, R., Venkatesh, S.

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The application of machine learning to predict disease, production and reproduction outcomes from the transition period of dairy cattle by Tsantila, Efterpi

Subjects: “…Dairy cows; Predictive models; Health outcomes; Reproductive outcomes; Production outcomes; Transition management; Prediction performance metrics…”
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Common polygenic variation can predict risk of Alzheimer’s disease by Escott-Price, Valentina, Sims, Rebecca, Bannister, Christian, Harold, Denise, Vronskaya, Maria, Majounie, Elisa, Badarinarayan, Nandini, Morgan, Kevin, Passmore, Peter, Holmes, Clive, Powell, John, Lovestone, Simon, Brayne, Carol, Gill, Michael, Mead, Simon, Goate, Alison, Cruchaga, Carlos, Lambert, Jean-Charles, van Duijn, Cornelia, Maier, Wolfgang, Ramirez, Alfredo, Holmans, Peter, Jones, Lesley, Hardy, John, Seshadri, Sudha, Schellenberg, Gerard D., Amouyel, Philippe, Williams, Julie

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Modelling the effect of diet composition on enteric methane emissions across sheep, beef cattle and dairy cows by Bell, Matthew J., Eckard, Richard, Moate, Peter J., Yan, Tianhai

Subjects: “…sheep; cattle; enteric methane; diet; prediction; modelling…”
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Risk prediction model for knee pain in the Nottingham Community: a Bayesian modeling approach by Fernandes, Gwen Sascha, Bhattacharya, Archan, McWilliams, Daniel F., Ingham, Sarah Louise, Doherty, Michael, Zhang, Weiya

Subjects: “…Knee pain ; Bayesian statistics ; Prediction modelling ; Musculoskeletal epidemiology…”
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Development of prediction models for various distresses in jointed plain concrete pavement using machine learning and finite element modelling by Pasupunuri, Sampath Kumar

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Review on Cardiovascular Risk Prediction by Ruwanpathirana, T., Owen, A., Reid, Christopher

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Bayesian assessment of an existing bridge - a case study by Jacinto, Luciano, Neves, Luís Canhoto, Santos, Luís Oliveira

Subjects: “…Existing bridges; probabilistic assessment; Bayesian updating; statistical uncertainty; predictive model…”
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Situational Language Understanding in Texts by Neurohr, Benedict Jürgen

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Artificial neural network intelligent technique and multiple nonlinear regression for prediction and optimization of the transmittance of lightpipes and implementation in BIM by Zhang, Li

Subjects: “…Daylighting; Light pipes; Building Information Modelling; Light pipe performance; Prediction model…”
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Prediction of enteric methane production, yield and intensity in dairy cattle using an intercontinental database by Niu, Mutian, Kebreab, Ermias, Hristov, Alexander N., Oh, Joonpyo, Arndt, Claudia, Bannink, André, Bayat, Ali R., Brito, André F., Boland, Tommy, Casper, David, Crompton, Les A., Dijkstra, Jan, Eugène, Maguy A., Garnsworthy, P.C., Haque, Md Najmul, Hellwing, Anne L. F., Huhtanen, Pekka, Kreuzer, Michael, Kuhla, Bjoern, Lund, Peter, Madsen, Jørgen, Martin, Cécile, McClelland, Shelby C., McGee, Mark, Moate, Peter J., Muetzel, Stefan, Muñoz, Camila, O’Kiely, Padraig, Peiren, Nico, Reynolds, Christopher K., Schwarm, Angela, Shingfield, Kevin J., Storlien, Tonje M., Weisbjerg, Martin R., Yáñez-Ruiz, David R., Yu, Zhongtang

Subjects: “…Dairy cows; Enteric methane emissions; Prediction models; Dry matter intake; Methane yield; Methane intensity…”
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Evaluation of methods and marker systems in genomic selection of oil palm (Elaeis guineensis Jacq.) by Kwong, Qi Bin, Teh, Chee Keng, Ong, Ai Ling, Chew, Fook Tim, Mayes, Sean, Kulaveerasingam, Harikrishna, Tammi, Martti, Yeoh, Suat Hui, Appleton, David Ross, Harikrishna, Jennifer Ann

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Coupling online control and inhibitory systems in children with Developmental Coordination Disorder: Goal-directed reaching by Ruddock, S., Piek, Jan, Sugden, D., Morris, Susan, Hyde, C., Caeyenberghs, K., Wilson, P.

Subjects: “…predictive modelling…”
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A prototype for a real-time power fluctuation events prediction and mitigation engine for photovoltaic (PV) grid-tied systems by Goh, Shu Mei

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A support vector-based interval type-2 fuzzy system by Uslan, V., Seker, H., John, Robert

Subjects: “…fuzzy set theory;regression analysis;support vector machines;IF-THEN rules;efficient closed-form type reduction strategy;fuzzy regression model;generalisation performance;nonlinear system approximation;support vector machines;support vector regression;support vector-based interval type-2 fuzzy system;Approximation methods;Computational modeling;Fuzzy sets;Fuzzy systems;Predictive models;Support vector machines;Time series analysis…”
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Clinical risk prediction model for 30-day all-cause re-hospitalisation or mortality in patients hospitalised with heart failure by Driscoll, A., Romaniuk, H., Dinh, D., Amerena, J., Brennan, A., Hare, D.L., Kaye, D., Lefkovits, J., Lockwood, S., Neil, C., Prior, D., Reid, Christopher, Orellana, L.

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