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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
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Prospective cohort study on the predictors of fall risk in 119 patients with bilateral vestibulopathy
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In: ISSN: 1932-6203 ; PLOS ONE, Vol. 15, No 3 (2020) P. e0228768 (2020)
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Predictive Factors of Swallowing Disorders and Bronchopneumonia in Acute Ischemic Stroke.
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In: Journal of stroke and cerebrovascular diseases, vol. 28, no. 8, pp. 2148-2154 (2019)
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Carbon trading, co-pollutants, and environmental equity: Evidence from California's cap-and-trade program (2011-2015).
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In: PLoS medicine, vol 15, iss 7 (2018)
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Child effects and child care: Implications for risk and adjustment.
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In: Development and psychopathology, vol 27, iss 4 Pt 1 (2015)
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Efficient and sparse feature selection for biomedical text classification via the elastic net: Application to ICU risk stratification from nursing notes.
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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.
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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
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URL: https://escholarship.org/uc/item/91f5766j
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A collaborative national model to assess competencies for medical students, residents, and other healthcare practitioners in gait and falls risk evaluation.
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In: Journal of the American Geriatrics Society, vol 62, iss 6 (2014)
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Investigation of dyslexia and SLI risk variants in reading- and language-impaired subjects.
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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)
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Analysis and Classification of Mammography Reports Using Maximum Variation Sampling
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Congenital profound hearing loss: management of hypoplastic and aplastic vestibulocochlear nerves.
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In: Cochlear Implants Int , 11 Sup pp. 213-216. (2010) (2010)
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Linguistic evaluation of terrorist scenarios: example application.
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High heritability of speech and language impairments in 6-year-old twins demonstrated using parent and teacher report.
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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)
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High heritability of speech and language impairments in 6-year-old twins demonstrated using parent and teacher report.
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In: Behav Genet , 36 (2) pp. 173-184. (2006) (2006)
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Evaluation of risk from acts of terrorism :the adversary/defender model using belief and fuzzy sets.
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Can fuzzy logic bring complex problems into focus? Modeling imprecise factors in environmental policy
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In: Other Information: PBD: 14 Jun 2004 (2004)
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Resource allocation using risk analysis
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In: Submitted to: Annual Reliability and Maintainability Symposium, Los Angeles, CA, January 26-29, 2004 (2003)
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Dialectical Argumentation for Reasoning About Chemical . . .
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In: http://www3.oup.co.uk/igpl/Volume_09/Issue_02/ps/McBurney.ps.gz (2001)
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Dialectical Argumentation for Reasoning about Chemical Carcinogenicity
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In: http://www3.oup.co.uk/igpl/Volume_09/Issue_02/pdf/McBurney.pdf (2001)
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Fuzzy risk analysis for nuclear safeguards
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In: 5. international Fuzzy Systems Association World Congress, Seoul (Korea, Republic of), 4-9 Jul 1993 (1993)
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Fuzzy Risk Analysis for Nuclear Safeguards
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In: 5. international Fuzzy Systems Association World Congress,Seoul (Korea, Republic of),4-9 Jul 1993 (1993)
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