Daehr

No abstract is available for this paper.

• Publication year

  2017

• Venue

  ACM Transactions on Intelligent Systems and Technology

• Publication date

  2017-02-08

• Fields of study

  Medicine, Computer Science, Psychology

• Identifiers
  DOI 10.1145/3007195
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review

  2017cited by this paper
• Using Multivariate Statistics

  2016cited by this paper
• Optimization of sepsis risk assessment for ward patients

  2016cited by this paper
• Predictive modeling of hospital readmissions using metaheuristics and data mining

  2015cited by this paper
• PSF: A Unified Patient Similarity Evaluation Framework Through Metric Learning With Weak Supervision

  2015cited by this paper
• Evaluation of data quality of multisite electronic health record data for secondary analysis

  2015cited by this paper
• Rough set theory based prognostic classification models for hospice referral

  2015cited by this paper
• Mining and exploring care pathways from electronic medical records with visual analytics

  2015cited by this paper
• M-SEQ: Early detection of anxiety and depression via temporal orders of diagnoses in electronic health data

  2015influential reference
• Temporal Phenotyping from Longitudinal Electronic Health Records: A Graph Based Framework

  2015cited by this paper
• Personalized Predictive Modeling and Risk Factor Identification using Patient Similarity

  2015cited by this paper
• College Health Surveillance Network: Epidemiology and Health Care Utilization of College Students at US 4-Year Universities

  2015cited by this paper
• Introductory Lectures on Convex Optimization - A Basic Course

  2014cited by this paper
• Clinical Risk Prediction by Exploring High-Order Feature Correlations

  2014cited by this paper
• Handling Sparsity with Random Forests When Predicting Adverse Drug Events from Electronic Health Records

  2014cited by this paper
• Toward personalizing treatment for depression: predicting diagnosis and severity

  2014cited by this paper
• A methodology for interactive mining and visual analysis of clinical event patterns using electronic health record data

  2014cited by this paper
• ACM Transactions on Intelligent Systems and Technology - Special Section on Urban Computing

  2014cited by this paper
• Frequence: interactive mining and visualization of temporal frequent event sequences

  2014cited by this paper
• Selecting Relevant Information for Medical Decision Support with Application in Cardiology

  2013cited by this paper
• A Framework for Mining Signatures from Event Sequences and Its Applications in Healthcare Data

  2013cited by this paper
• Towards heterogeneous temporal clinical event pattern discovery: a convolutional approach

  2012cited by this paper
• Supervised patient similarity measure of heterogeneous patient records

  2012cited by this paper
• Positive Definite $\ell_1$ Penalized Estimation of Large Covariance Matrices

  2012cited by this paper
• MINIMAX ESTIMATION OF LARGE COVARIANCE MATRICES UNDER ℓ1-NORM

  2012cited by this paper
• Comparisons of established risk prediction models for cardiovascular disease: systematic review

  2012cited by this paper
• Mining electronic health records: towards better research applications and clinical care

  2012cited by this paper
• Data Mining in Healthcare and Biomedicine: A Survey of the Literature

  2012cited by this paper
• Sparse linear discriminant analysis by thresholding for high dimensional data

  2011cited by this paper
• Data mining methods in the prediction of Dementia: A real-data comparison of the accuracy, sensitivity and specificity of linear discriminant analysis, logistic regression, neural networks, support vector machines, classification trees and random forests

  2011cited by this paper
• Alternating Projection Methods

  2011cited by this paper
• An Automated Model to Identify Heart Failure Patients at Risk for 30-Day Readmission or Death Using Electronic Medical Record Data

  2010cited by this paper
• Modern Applied Statistics with S

  2010cited by this paper
• The Karush-Kuhn-Tucker optimality conditions in multiobjective programming problems with interval-valued objective functions

  2009cited by this paper
• Sparse Discriminant Analysis

  2008cited by this paper
• Efiective Linear Discriminant Analysis for High Dimensional, Low Sample Size Data

  2007cited by this paper
• Local similarity discriminant analysis

  2007cited by this paper
• ICD-9 Codes and Surveillance for Clostridium difficile–associated Disease

  2006cited by this paper
• Why direct LDA is not equivalent to LDA

  2006cited by this paper
• The importance of somatic symptoms in depression in primary care.

  2005cited by this paper
• Integrated modeling of clinical and gene expression information for personalized prediction of disease outcomes.

  2004cited by this paper
• An optimization criterion for generalized discriminant analysis on undersampled problems

  2004cited by this paper
• Life event dimensions of loss, humiliation, entrapment, and danger in the prediction of onsets of major depression and generalized anxiety.

  2003cited by this paper
• Face recognition using LDA-based algorithms

  2003cited by this paper
• The diabetes risk score: a practical tool to predict type 2 diabetes risk.

  2003cited by this paper
• Modern Applied Statistics With S

  2003cited by this paper
• Mental disorders in primary care

  2003cited by this paper
• Computing the nearest correlation matrix—a problem from finance

  2002influential reference
• The PHQ-9: A new depression diagnostic and severity measure

  2002cited by this paper
• Solving the small sample size problem of LDA

  2002cited by this paper
• Validation of the Framingham coronary heart disease prediction scores: results of a multiple ethnic groups investigation.

  2001cited by this paper
• Correspondence Address

  2000cited by this paper
• Statistical Decision Theory and Bayesian Analysis, Second Edition

  1993cited by this paper
• Discriminant Analysis and Statistical Pattern Recognition

  1992cited by this paper
• The relaxation method of finding the common point of convex sets and its application to the solution of problems in convex programming

  1967cited by this paper
• Proximity maps for convex sets

  1959cited by this paper
• Complete Convergence and the Law of Large Numbers.

  1947cited by this paper
• THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS

  1936cited by this paper
• Mining Medical Data for Predictive and Sequential patterns : PKDD 2001

  year unknowncited by this paper

• An efficient approach to detecting mental illness on online social media platforms by using multidimensional textual features.

  2026cites this paper
• Adaptive Integration of Categorical and Multi-relational Ontologies with EHR Data for Medical Concept Embedding

  2023cites this paper
• Knowledge-aware patient representation learning for multiple disease subtypes

  2023cites this paper
• Overview of the role of big data in mental health: A scoping review (Preprint)

  2021cites this paper
• Understanding User Cognition: From Spatial Ability to Code Writing and Review

  2021cites this paper
• OGM: Online gaussian graphical models on the fly

  2021cites this paper
• Self-weighted Robust LDA for Multiclass Classification with Edge Classes

  2020cites this paper
• Finding discriminatory features from electronic health records for depression prediction

  2020influential citation
• Identification of Imminent Suicide Risk Among Young Adults using Text Messages

  2018cites this paper
• A Survey on Prediction Using Big Data Analytics

  2017cites this paper