Suchergebnisse

Review: Are we stumbling in our quest to find the best predictor? Over‐optimism in sensor‐based models for predicting falls in older adults von Tal Shany, Kejia Wang, Ying Liu, Nigel H. Lovell, Stephen J. Redmond

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Ridge Regression in Prediction Problems: Automatic Choice of the Ridge Parameter von Erika Cule, Maria De Iorio

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Comparison of artificial neural network and logistic regression models for prediction of mortality in head trauma based on initial clinical data von Behzad Eftekhar, Kazem Mohammad, Hassan Eftekhar Ardebili, Mohammad Ghodsi, Ebrahim Ketabchi

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Assessing Electronic Cigarette-Related Tweets for Sentiment and Content Using Supervised Machine Learning von Heather Cole-Lewis, Arun Varghese, Amy Sanders, Mary Schwarz, Jillian Pugatch, Erik Augustson

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A simple method to adjust clinical prediction models to local circumstances von Kristel J.M. Janssen, Yvonne Vergouwe, Cor J. Kalkman, Diederick E. Grobbee, Karel G.M. Moons

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Risk Prediction in Patients With Heart Failure von Kazem Rahimi, Derrick Bennett, Nathalie Conrad, Timothy Williams, Joyee Basu, Jeremy Dwight, Mark Woodward, Anushka Patel, John J.V. McMurray, Stephen MacMahon

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Length-dependent prediction of protein intrinsic disorder von Kang Peng, Predrag Radivojac, Slobodan Vučetić, A. Keith Dunker, Zoran Obradović

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Development of a Clinical Forecasting Model to Predict Comorbid Depression Among Diabetes Patients and an Application in Depression Screening Policy Making von Haomiao Jin, Shinyi Wu, Paul Di Capua

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Bioelectrical impedance analysis models for prediction of total body water and fat-free mass in healthy and HIV-infected children and adolescents,, von Mary Horlick, Stephen M. Arpadi, James Bethel, Jack Wang, Jack Moye, Patricia A. Cuff, Richard N. Pierson, Donald P. Kotler

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Risk prediction models for contrast induced nephropathy: systematic review von Samuel A. Silver, Prakesh Shah, Glenn M. Chertow, Shai Har-El, Ron Wald, Ziv Harel

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The importance of prediction model validation and assessment in obesity and nutrition research von Andrada E. Ivanescu, Peng Li, Brandon George, Andrew W. Brown, Scott W. Keith, Dheeraj Raju, David B. Allison

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Genetic-based prediction of disease traits: prediction is very difficult, especially about the future†von Steven J. Schrodi, Shubhabrata Mukherjee, Ying Shan, Gerard Tromp, John J. Sninsky, Amy P. Callear, Tonia C. Carter, Zhan Ye, Jonathan L. Haines, Murray H. Brilliant, Paul K. Crane, Diane T. Smelser, Robert C. Elston, Daniel E. Weeks

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Regularized Machine Learning in the Genetic Prediction of Complex Traits von Sebastian Okser, Tapio Pahikkala, Antti Airola, Tapio Salakoski, Samuli Ripatti, Tero Aittokallio

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Machine Learning for Outcome Prediction of Acute Ischemic Stroke Post Intra-Arterial Therapy von Hamed Asadi, Richard Dowling, Bernard Yan, Peter Mitchell

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Comparison of Prediction Model for Cardiovascular Autonomic Dysfunction Using Artificial Neural Network and Logistic Regression Analysis von Zihui Tang, Juanmei Liu, Fangfang Zeng, Zhongtao Li, Xiaoling Yu, Linuo Zhou

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Prediction models in cancer care von Andrew J. Vickers

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Transient protein-protein interface prediction: datasets, features, algorithms, and the RAD-T predictor von Calem J Bendell, Shalon Liu, Tristan Aumentado‐Armstrong, Bogdan Istrate, Paul Cernek, Samuel Khan, Sergiu Picioreanu, Michael Zhao, Robert A. Murgita

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An Australian risk prediction model for 30-day mortality after isolated coronary artery bypass: The AusSCORE von Christopher M. Reid, Baki Billah, Diem Dinh, Julian A. Smith, Peter Skillington, Michael Yii, Seven Seevanayagam, Morteza Mohajeri, Gil Shardey

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Assessment of performance of survival prediction models for cancer prognosis von Hung-Chia Chen, Ralph L. Kodell, Kuang Fu Cheng, James J. Chen

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Prediction models need appropriate internal, internal–external, and external validation von Ewout W. Steyerberg, Frank E. Harrell

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