Stabilizing high-dimensional prediction models using feature graphs

QR Code

Stabilizing high-dimensional prediction models using feature graphs

© 2014 IEEE. We investigate feature stability in the context of clinical prognosis derived from high-dimensional electronic medical records. To reduce variance in the selected features that are predictive, we introduce Laplacian-based regularization into a regression model. The Laplacian is derived...

Full description

Bibliographic Details
Main Authors:	Gopakumar, S., Tran, The Truyen, Nguyen, T., Phung, D., Venkatesh, S.
Format:	Journal Article
Published:	Institute of Electrical and Electronics Engineers Inc. 2015
Online Access:	http://hdl.handle.net/20.500.11937/27001

Similar Items

Stabilizing sparse Cox model using statistic and semantic structures in electronic medical records
by: Gopakumar, S., et al.
Published: (2015)

Graph-induced restricted Boltzmann machines for document modeling
by: Nguyen, T., et al.
Published: (2016)

Latent patient profile modelling and applications with mixed-variate restricted Boltzmann machine
by: Nguyen, T., et al.
Published: (2013)

Stabilized sparse ordinal regression for medical risk stratification
by: Tran, The Truyen, et al.
Published: (2014)

Modelling human preferences for ranking and collaborative filtering: a probabilistic ordered partition approach
by: Tran, The Truyen, et al.
Published: (2015)

Tensor-variate restricted boltzmann machines
by: Nguyen, T., et al.
Published: (2015)

Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM)
by: Tran, The Truyen, et al.
Published: (2015)

Learning sparse latent representation and distance metric for image retrieval
by: Nguyen, T., et al.
Published: (2013)

A framework for feature extraction from hospital medical data with applications in risk prediction
by: Tran, The Truyen, et al.
Published: (2014)

Ipoll: Automatic polling using online search
by: Nguyen, T., et al.
Published: (2014)

A sequential decision approach to ordinal preferences in recommender systems
by: Tran, Truyen, et al.
Published: (2012)

Tree-based iterated local search for Markov random fields with applications in image analysis
by: Tran, The Truyen, et al.
Published: (2014)

Cumulative restricted Boltzmann machines for ordinal matrix data analysis
by: Tran, Truyen, et al.
Published: (2012)

Learning Boltzmann distance metric for face recognition
by: Tran, Truyen, et al.
Published: (2012)

Learning From Ordered Sets and Applications in Collaborative Ranking
by: Tran, Truyen, et al.
Published: (2012)

Thurstonian Boltzmann machines: Learning from multiple inequalities
by: Tran, The Truyen, et al.
Published: (2013)

Mixed-variate restricted boltzmann machines
by: Tran, The Truyen, et al.
Published: (2011)

Probabilistic models over ordered partitions with applications in document ranking and collaborative filtering
by: Tran, Truyen, et al.
Published: (2011)

On conditional random fields: applications, feature selection, parameter estimation and hierarchical modelling
by: Tran, The Truyen
Published: (2008)

Predicting unplanned readmission after myocardial infarction from routinely collected administrative hospital data
by: Rana, S., et al.
Published: (2014)

Is demography destiny? Application of machine learning techniques to accurately predict population health outcomes from a minimal demographic dataset
by: Luo, W., et al.
Published: (2015)

Mixed-Variate Restricted Boltzmann Machines
by: Tran, Truyen, et al.
Published: (2011)

Constrained sequence classification for lexical disambiguation
by: Tran, Truyen, et al.
Published: (2008)

Web search activity data accurately predict population chronic disease risk in the USA
by: Nguyen, T., et al.
Published: (2015)

Risk stratification using data from electronic medical records better predicts suicide risks than clinician assessments
by: Tran, The Truyen, et al.
Published: (2014)

Risk stratification using data from electronic medical records better predicts suicide risks than clinician assessments
by: Tran, Truyen, et al.
Published: (2014)

Learning discriminative sequence models from partially labelled data for activity recognition
by: Tran, Truyen, et al.
Published: (2008)

Classification and pattern discovery of mood in weblogs
by: Nguyen, Thin, et al.
Published: (2010)

Hyper-community detection in the blogosphere
by: Nguyen, Thin, et al.
Published: (2010)

AdaBoost.MRF: Boosted Markov Random Forests and Application to Multilevel Activity Recognition
by: Truyen, Tran, et al.
Published: (2006)

Decentralized Model Predictive Control for Networks of Linear Systems with Coupling Delay
by: Tran, The Truyen, et al.
Published: (2014)

Indoor location prediction using multiple wireless received signal strengths
by: tran, Kha, et al.
Published: (2008)

HealthMap: A visual platform for patient suicide risk review
by: Rana, S., et al.
Published: (2014)

MCMC for Hierarchical Semi-Markov Conditional Random fields
by: Truyen, Tran, et al.
Published: (2009)

Hierarchical semi-markov conditional random fields for recursive sequential data
by: Tran, Truyen, et al.
Published: (2008)

Nonnegative shared subspace learning and its application to social media retrieval
by: Gupta, Sunil, et al.
Published: (2010)

High accuracy context recovery using clustering mechanisms
by: Phung, Dinh, et al.
Published: (2009)

Compressed ECG biometric using cardioid graph based feature extraction
by: Iqbal, Fatema-tuz-Zohra, et al.
Published: (2015)

Feature selection for high dimensional data: An evolutionary filter approach.
by: Yahya, Anwar Ali, et al.
Published: (2011)

Prediction of Age, Sentiment, and Connectivity from Social Media Text
by: Nguyen, Thin, et al.
Published: (2011)