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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 23 1 Role of maternal age at birth in child development among Indigenous and non-Indigenous Australian children in their first school year: a population-based cohort study Hanly, M.; Falster, K.; Banks, E.. - : Elsevier, 2020 BASE Show details 2 Prospective cohort study on the predictors of fall risk in 119 patients with bilateral vestibulopathy Dobbels, Bieke; Lucieer, Florence; Mertens, Griet... In: ISSN: 1932-6203 ; PLOS ONE, Vol. 15, No 3 (2020) P. e0228768 (2020) BASE Show details 3 Predictive Factors of Swallowing Disorders and Bronchopneumonia in Acute Ischemic Stroke. Beharry, A.; Michel, P.; Faouzi, M.... In: Journal of stroke and cerebrovascular diseases, vol. 28, no. 8, pp. 2148-2154 (2019) BASE Show details 4 Carbon trading, co-pollutants, and environmental equity: Evidence from California's cap-and-trade program (2011-2015). Cushing, Lara; Blaustein-Rejto, Dan; Wander, Madeline... In: PLoS medicine, vol 15, iss 7 (2018) BASE Show details 5 Child effects and child care: Implications for risk and adjustment. Snell, Emily K; Hindman, Annemarie H; Belsky, Jay In: Development and psychopathology, vol 27, iss 4 Pt 1 (2015) BASE Show details 6 Efficient and sparse feature selection for biomedical text classification via the elastic net: Application to ICU risk stratification from nursing notes. Marafino, Ben J; Boscardin, W John; Dudley, R Adams. - : eScholarship, University of California, 2015 Abstract: Sparsity is often a desirable property of statistical models, and various feature selection methods exist so as to yield sparser and interpretable models. However, their application to biomedical text classification, particularly to mortality risk stratification among intensive care unit (ICU) patients, has not been thoroughly studied.To develop and characterize sparse classifiers based on the free text of nursing notes in order to predict ICU mortality risk and to discover text features most strongly associated with mortality.We selected nursing notes from the first 24h of ICU admission for 25,826 adult ICU patients from the MIMIC-II database. We then developed a pair of stochastic gradient descent-based classifiers with elastic-net regularization. We also studied the performance-sparsity tradeoffs of both classifiers as their regularization parameters were varied.The best-performing classifier achieved a 10-fold cross-validated AUC of 0.897 under the log loss function and full L2 regularization, while full L1 regularization used just 0.00025% of candidate input features and resulted in an AUC of 0.889. Using the log loss (range of AUCs 0.889-0.897) yielded better performance compared to the hinge loss (0.850-0.876), but the latter yielded even sparser models.Most features selected by both classifiers appear clinically relevant and correspond to predictors already present in existing ICU mortality models. The sparser classifiers were also able to discover a number of informative - albeit nonclinical - features.The elastic-net-regularized classifiers perform reasonably well and are capable of reducing the number of features required by over a thousandfold, with only a modest impact on performance. Keyword: Biological Sciences; Biomedical Engineering; Data Mining; Elastic net; Electronic Health Records; Feature selection; Humans; ICU; Information and Computing Sciences; Intensive Care Units; Machine learning; Medical and Health Sciences; Medical Informatics; Medical Informatics Applications; Nurses; Regression Analysis; Risk Assessment; Risk stratification; Text mining URL: https://escholarship.org/uc/item/91f5766j BASE Hide details 7 A collaborative national model to assess competencies for medical students, residents, and other healthcare practitioners in gait and falls risk evaluation. Atkinson, Hal H; Tan, Zaldy S; Brennan, Maura... In: Journal of the American Geriatrics Society, vol 62, iss 6 (2014) BASE Show details 8 Investigation of dyslexia and SLI risk variants in reading- and language-impaired subjects. Newbury, DF; Paracchini, S; Scerri, TS... In: Symplectic Elements at Oxford ; Europe PubMed Central ; PubMed (http://www.ncbi.nlm.nih.gov/pubmed/) ; Web of Science (Lite) (http://apps.webofknowledge.com/summary.do) ; Scopus (http://www.scopus.com/home.url) ; CrossRef (2011) BASE Show details 9 Analysis and Classification of Mammography Reports Using Maximum Variation Sampling Patton, Robert M.; Beckerman, Barbara G.; Potok, Thomas E.. - : Wiley, 2011. : Oak Ridge National Laboratory, 2011 BASE Show details 10 Congenital profound hearing loss: management of hypoplastic and aplastic vestibulocochlear nerves. Seymour, FK; Cruise, A; Lavy, JA... In: Cochlear Implants Int , 11 Sup pp. 213-216. (2010) (2010) BASE Show details 11 Linguistic evaluation of terrorist scenarios: example application. Darby, John L.. - : Sandia National Laboratories, 2007 BASE Show details 12 High heritability of speech and language impairments in 6-year-old twins demonstrated using parent and teacher report. Bishop, DV; Laws, G; Adams, C... In: Symplectic Elements at Oxford ; Europe PubMed Central ; PubMed (http://www.ncbi.nlm.nih.gov/pubmed/) ; Web of Science (Lite) (http://apps.webofknowledge.com/summary.do) ; Scopus (http://www.scopus.com/home.url) ; CrossRef (2006) BASE Show details 13 High heritability of speech and language impairments in 6-year-old twins demonstrated using parent and teacher report. Bishop, DV; Laws, G; Adams, C... In: Behav Genet , 36 (2) pp. 173-184. (2006) (2006) BASE Show details 14 Evaluation of risk from acts of terrorism :the adversary/defender model using belief and fuzzy sets. Darby, John L.. - : Sandia National Laboratories, 2006 BASE Show details 15 Can fuzzy logic bring complex problems into focus? Modeling imprecise factors in environmental policy McKone, Thomas E.; Deshpande, Ashok W. In: Other Information: PBD: 14 Jun 2004 (2004) BASE Show details 16 Resource allocation using risk analysis Bott, T. F. (Terrence F.); Eisenhawer, S. W. (Stephen W.) In: Submitted to: Annual Reliability and Maintainability Symposium, Los Angeles, CA, January 26-29, 2004 (2003) BASE Show details 17 Dialectical Argumentation for Reasoning About Chemical . . . Peter McBurney; Simon Parsons In: http://www3.oup.co.uk/igpl/Volume_09/Issue_02/ps/McBurney.ps.gz (2001) BASE Show details 18 Dialectical Argumentation for Reasoning about Chemical Carcinogenicity Peter Mcburney; Simon Parsons In: http://www3.oup.co.uk/igpl/Volume_09/Issue_02/pdf/McBurney.pdf (2001) BASE Show details 19 Fuzzy risk analysis for nuclear safeguards Zardecki, A. In: 5. international Fuzzy Systems Association World Congress, Seoul (Korea, Republic of), 4-9 Jul 1993 (1993) BASE Show details 20 Fuzzy Risk Analysis for Nuclear Safeguards Zardecki, A. In: 5. international Fuzzy Systems Association World Congress,Seoul (Korea, Republic of),4-9 Jul 1993 (1993) BASE Show details Page: 1 2

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