A Machine Learning Approach to Identify Clinical Trials Involving Nanodrugs and Nanodevices from ClinicalTrials.gov
Author
Abstract
Suggested Citation
DOI: 10.1371/journal.pone.0110331
Download full text from publisher
References listed on IDEAS
- Chen Lin & Elizabeth W Karlson & Helena Canhao & Timothy A Miller & Dmitriy Dligach & Pei Jun Chen & Raul Natanael Guzman Perez & Yuanyan Shen & Michael E Weinblatt & Nancy A Shadick & Robert M Plenge, 2013. "Automatic Prediction of Rheumatoid Arthritis Disease Activity from the Electronic Medical Records," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-10, August.
- Le Luo & Li Li, 2014. "Defining and Evaluating Classification Algorithm for High-Dimensional Data Based on Latent Topics," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-9, January.
- An-Wen Chan, 2008. "Bias, Spin, and Misreporting: Time for Full Access to Trial Protocols and Results," PLOS Medicine, Public Library of Science, vol. 5(11), pages 1-3, November.
- Joseph S Ross & Gregory K Mulvey & Elizabeth M Hines & Steven E Nissen & Harlan M Krumholz, 2009. "Trial Publication after Registration in ClinicalTrials.Gov: A Cross-Sectional Analysis," PLOS Medicine, Public Library of Science, vol. 6(9), pages 1-9, September.
- Asba Tasneem & Laura Aberle & Hari Ananth & Swati Chakraborty & Karen Chiswell & Brian J McCourt & Ricardo Pietrobon, 2012. "The Database for Aggregate Analysis of ClinicalTrials.gov (AACT) and Subsequent Regrouping by Clinical Specialty," PLOS ONE, Public Library of Science, vol. 7(3), pages 1-12, March.
- Olga Kirillova, 2012. "Results and Outcome Reporting In ClinicalTrials.gov, What Makes it Happen?," PLOS ONE, Public Library of Science, vol. 7(6), pages 1-8, June.
- S. le Cessie & J. C. van Houwelingen, 1992. "Ridge Estimators in Logistic Regression," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 41(1), pages 191-201, March.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Chao Wei & Senlin Luo & Xincheng Ma & Hao Ren & Ji Zhang & Limin Pan, 2016. "Locally Embedding Autoencoders: A Semi-Supervised Manifold Learning Approach of Document Representation," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-20, January.
- Christopher J Greenwood & George J Youssef & Primrose Letcher & Jacqui A Macdonald & Lauryn J Hagg & Ann Sanson & Jenn Mcintosh & Delyse M Hutchinson & John W Toumbourou & Matthew Fuller-Tyszkiewicz &, 2020. "A comparison of penalised regression methods for informing the selection of predictive markers," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-14, November.
- André Altmann & Michal Rosen-Zvi & Mattia Prosperi & Ehud Aharoni & Hani Neuvirth & Eugen Schülter & Joachim Büch & Daniel Struck & Yardena Peres & Francesca Incardona & Anders Sönnerborg & Rolf Kaise, 2008. "Comparison of Classifier Fusion Methods for Predicting Response to Anti HIV-1 Therapy," PLOS ONE, Public Library of Science, vol. 3(10), pages 1-9, October.
- Janns Alvaro Patiño-Saucedo & Paola Patricia Ariza-Colpas & Shariq Butt-Aziz & Marlon Alberto Piñeres-Melo & José Luis López-Ruiz & Roberto Cesar Morales-Ortega & Emiro De-la-hoz-Franco, 2022. "Predictive Model for Human Activity Recognition Based on Machine Learning and Feature Selection Techniques," IJERPH, MDPI, vol. 19(19), pages 1-21, September.
- František Dařena & Jan Přichystal, 2018. "Analysis of the Association between Topics in Online Documents and Stock Price Movements," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 66(6), pages 1431-1439.
- repec:wyi:journl:002122 is not listed on IDEAS
- Roberta W Scherer & Pamela C Sieving & Ann-Margret Ervin & Kay Dickersin, 2012. "Can We Depend on Investigators to Identify and Register Randomized Controlled Trials?," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-6, September.
- Wayne DeSarbo & Heungsun Hwang & Ashley Stadler Blank & Eelco Kappe, 2015. "Constrained Stochastic Extended Redundancy Analysis," Psychometrika, Springer;The Psychometric Society, vol. 80(2), pages 516-534, June.
- Li Shaoyu & Lu Qing & Fu Wenjiang & Romero Roberto & Cui Yuehua, 2009. "A Regularized Regression Approach for Dissecting Genetic Conflicts that Increase Disease Risk in Pregnancy," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 8(1), pages 1-30, October.
- Meisam Moghimbeygi & Anahita Nodehi, 2022. "Multinomial Principal Component Logistic Regression on Shape Data," Journal of Classification, Springer;The Classification Society, vol. 39(3), pages 578-599, November.
- G Johnes, 2005. "Nations will fall? Revisiting the economic determinants of attitudes to European integration," Working Papers 566772, Lancaster University Management School, Economics Department.
- Butaru, Florentin & Chen, Qingqing & Clark, Brian & Das, Sanmay & Lo, Andrew W. & Siddique, Akhtar, 2016.
"Risk and risk management in the credit card industry,"
Journal of Banking & Finance, Elsevier, vol. 72(C), pages 218-239.
- Florentin Butaru & QingQing Chen & Brian Clark & Sanmay Das & Andrew W. Lo & Akhtar Siddique, 2015. "Risk and Risk Management in the Credit Card Industry," NBER Working Papers 21305, National Bureau of Economic Research, Inc.
- repec:lan:wpaper:4385 is not listed on IDEAS
- Matthew Herland & Richard A. Bauder & Taghi M. Khoshgoftaar, 2020. "Approaches for identifying U.S. medicare fraud in provider claims data," Health Care Management Science, Springer, vol. 23(1), pages 2-19, March.
- Paolo Cimbali & Marco De Leonardis & Alessio Fiume & Barbara La Ganga & Luciana Meoli & Marco Orlandi, 2023.
"A decision-making rule to detect insufficient data quality - an application of statistical learning techniques to the non-performing loans banking data,"
IFC Bulletins chapters, in: Bank for International Settlements (ed.), Post-pandemic landscape for central bank statistics, volume 58,
Bank for International Settlements.
- Paolo Cimbali & Marco De Leonardis & Alessio Fiume & Barbara La Ganga & Luciana Meoli & Marco Orlandi, 2022. "A decision-making rule to detect insufficient data quality: an application of statistical learning techniques to the non-performing loans banking data?," Questioni di Economia e Finanza (Occasional Papers) 666, Bank of Italy, Economic Research and International Relations Area.
- Zanin, Luca, 2020. "Combining multiple probability predictions in the presence of class imbalance to discriminate between potential bad and good borrowers in the peer-to-peer lending market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 25(C).
- Franz Ratzinger & Harald Bruckschwaiger & Martin Wischenbart & Bernhard Parschalk & Delmiro Fernandez-Reyes & Heimo Lagler & Alexandra Indra & Wolfgang Graninger & Stefan Winkler & Sanjeev Krishna & M, 2012. "Rapid Diagnostic Algorithms as a Screening Tool for Tuberculosis: An Assessor Blinded Cross-Sectional Study," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-6, November.
- Arvanitakis, K. & Avlonitis, M. & Papadimitriou, E., 2018. "Introducing stochastic recurrence interval to classification algorithms for identifying asperity patterns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 566-577.
- Sunil Kumar & Ilyoung Chong, 2018. "Correlation Analysis to Identify the Effective Data in Machine Learning: Prediction of Depressive Disorder and Emotion States," IJERPH, MDPI, vol. 15(12), pages 1-24, December.
- Aykut Ekinci & Safa Sen, 2024. "Forecasting Bank Failure in the U.S.: A Cost-Sensitive Approach," Computational Economics, Springer;Society for Computational Economics, vol. 64(6), pages 3161-3179, December.
- S Swaroop Vedula & Tianjing Li & Kay Dickersin, 2013. "Differences in Reporting of Analyses in Internal Company Documents Versus Published Trial Reports: Comparisons in Industry-Sponsored Trials in Off-Label Uses of Gabapentin," PLOS Medicine, Public Library of Science, vol. 10(1), pages 1-13, January.
- Wenfa Li & Hongzhe Liu & Peng Yang & Wei Xie, 2016. "Supporting Regularized Logistic Regression Privately and Efficiently," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-19, June.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0110331. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.