Search Results - "predictive modelling"

The predictive power of geographic health care utilization for unintentional fatal fall rates by Matthew Gordon Crowson, Jason A. Beyea, Justin Cottrell, Faisal Karmali, Giovanni Lampasona, James E. Saunders, Richard F. Lewis

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The role of corruption in global food systems: a systematic scoping review by Anastassia Demeshko, Chloe Clifford Astbury, Kirsten M. Lee, Janielle Clarke, Katherine Cullerton, Tarra L. Penney

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Perspectives on the Use of Transthoracic Echocardiography Results for the Prediction of Ventricular Tachyarrhythmias in Patients with Non-ischemic Cardiomyopathy by N. N. Ilov, D. R. Stompel, S. A. Boytsov, O. V. Palnikova, A. A. Nechepurenko

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Geotemporospatial and causal inference epidemiological analysis of US survey and overview of cannabis, cannabidiol and cannabinoid genotoxicity in relation to congenital anomalies... by Albert Stuart Reece, Gary Kenneth Hulse

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Responsiveness and minimal important change of the Family Reported Outcome Measure (FROM-16) by R. Shah, A.Y. Finlay, M.S. Salek, H. Allen, S.J. Nixon, M. Nixon, K. Otwombe, F.M. Ali, J.R. Ingram

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Secondary Analysis of Electronic Health Records by MIT Critical Data

Table of Contents: “…Outliers -- Case Studies -- Introduction -- Predictive Modeling: outcome prediction (discrete) -- Predictive Modeling: dose optimization (regression) -- Pharmacovigilance (classification) -- Comparative effectiveness: propensity score analysis -- Comparative effectiveness: instrumental variable analysis -- Decision and Cost Effectiveness Analysis: Hidden Markov models and Monte Carlo simulation -- Time series analysis: Gaussian processes (ICP modelling) -- Time series analysis: Bayesian inference(Motif discovery in numerical signals) -- Time Series analysis: Optimization techniques for hyperparameter selection -- Signal processing: analysis of waveform data -- Signal processing: False alarm reduction.…”
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The Fundamentals of People Analytics With Applications in R / by Starbuck, Craig

Table of Contents: “…Logistic Regression -- 13. Predictive Modeling -- 14. Unsupervised Learning -- 15. …”
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Multivariate Statistical Machine Learning Methods for Genomic Prediction by Montesinos López, Osval Antonio, Montesinos López, Abelardo, Crossa, José

Table of Contents: “…Preface -- Chapter 1 -- General elements of genomic selection and statistical learning -- Chapter. 2 -- Preprocessing tools for data preparation -- Chapter. 3 -- Elements for building supervised statistical machine learning models -- Chapter. 4 -- Overfitting, model tuning and evaluation of prediction performance -- Chapter. 5 -- Linear Mixed Models -- Chapter. 6 -- Bayesian Genomic Linear Regression -- Chapter. 7 -- Bayesian and classical prediction models for categorical and count data -- Chapter. 8 -- Reproducing Kernel Hilbert Spaces Regression and Classification Methods -- Chapter. 9 -- Support vector machines and support vector regression -- Chapter. 10 -- Fundamentals of artificial neural networks and deep learning -- Chapter. 11 -- Artificial neural networks and deep learning for genomic prediction of continuous outcomes -- Chapter. 12 -- Artificial neural networks and deep learning for genomic prediction of binary, ordinal and mixed outcomes -- Chapter. 13 -- Convolutional neural networks -- Chapter. 14 -- Functional regression -- Chapter. 15 -- Random forest for genomic prediction.…”
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Artificiality and Sustainability in Entrepreneurship Exploring the Unforeseen, and Paving the Way to a Sustainable Future /

Table of Contents: “…-- Part III: Building new capabilities and learning mechanisms to enhance competitiveness in the market predominated by the artificial environments -- The Evolution of the Dynamic Capabilities Framework -- Transforming a Highly Tactile Entrepreneurship Course "Ideas to Innovation" to an Entirely Online Delivery Model: Lessons for Theory and Practise -- Applying Eye Tracking Technology in The Field of Entrepreneurship Education -- Part IV: Setting new imperatives to related with the customers and stakeholders in the ecosystems -- Solutions of brand posts on Facebook to increase customer engagement using the Random Forest prediction model -- Entrepreneurial University and Social Innovation Ecosystems: Do They support HEIs knowledge-based Economic Development? …”
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Perspectives on European Earthquake Engineering and Seismology Volume 2 /

Table of Contents: “…Developments in Ground Motion Predictive Models and Accelerometric Data Archiving in the Broader European Region -- 13. …”
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Perspectives on European Earthquake Engineering and Seismology Volume 1 /

Table of Contents: “…The Role of Pile Diameter on Earthquake-Induced Bending -- 18. Predictive Models for Earthquake Response of Clay and Quick Clay Slopes.- 19. …”
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Time Predictions Understanding and Avoiding Unrealism in Project Planning and Everyday Life / by Halkjelsvik, Torleif, Jørgensen, Magne

Table of Contents: “…Time Prediction Methods and Principles: 7.1 Unpacking and decomposition -- 7.2 Analogies -- 7.3 Relative predictions -- 7.4 Time prediction models -- 7.5 Consider alternative futures -- 7.6 Combinations of time predictions -- 7.7 Let other people make the prediction? …”
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Causation and prediction in child and adolescent mental health research by Henrik Larsson

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Prediction for late-onset sepsis in preterm infants based on data from East China by Xianghua Shuai, Xiaoxia Li, Yiling Wu

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Modeling and Individualizing Continuous Joint Kinematics Using Gaussian Process Enhanced Fourier Series by Yongshan Huang, Honglei An, Hongxu Ma, Qing Wei

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Putting external validation performance of major bleeding risk models into context by Clair Blacketer, Clair Blacketer, Jenna M. Reps, Jenna M. Reps, Lu Wang, Patrick B. Ryan, Patrick B. Ryan, Zhong Yuan

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p16 and p53 can Serve as Prognostic Markers for Head and Neck Squamous Cell Carcinoma by Yue Wang, Fang Wang, Shuhan Wang, Lingnan Zhang, Honghai Fu, Legang Sun, Wenlong Wang, Chunxia Liu, Wenhao Ren, Ling Gao, Guoyi Xing, Xiangrui Ma

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Development and validation of ischemic heart disease and stroke prognostic models using large-scale real-world data from Japan by Shigeto Yoshida, Shu Tanaka, Masafumi Okada, Takuya Ohki, Kazumasa Yamagishi, Yasushi Okuno

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Establishment and Validation of a Dynamic Nomogram for Persistent Organ Failure in Acute Biliary Pancreatitis: A Retrospective Study by Gu K, Wang Q

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A novel machine learning model for predicting clinical pregnancy after laparoscopic tubal anastomosis by Nan Ding, Jian Zhang, Peili Wang, Fang Wang

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