Sparse statistical health monitoring: A novel variable selection approach to diagnosis and follow-up of individual patients

Healthcare Prediction and Analysis System with Constant Data Polling

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Aatish Balaji

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The applications of Big data and machine learning in the fields of healthcare, bioinformatics and in...

A Review of

Megan J. Olson Hunt
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Robert M. Boudreau
Howard Aizenstein
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Eleanor M. Simonsick
Dane R. Van Domelen
Fridtjof Thomas
Kristine Yaffe
Caterina Rosano
Graham J. Galloway
Caterina Rosano
Department Of

January 1994

doi: 10.3389/fninf.2014.00018 A variant of sparse partial least squares for variable selection and d...

Nonparametric statistical testing of EEG- and MEG-data

Maris, E.G.G.
Oostenveld, R.

January 2007

Contains fulltext : 56430.pdf (publisher's version ) (Closed access)14 p

Sparse statistical health monitoring:A novel variable selection approach to diagnosis and follow-up of individual patients

Engel, J.
Blanchet, L.
Engelke, U. F. H.
Wevers, R. A.
Buydens, L. M. C.

May 2017

The -omics technologies are becoming increasingly important in health care and are expected to contr...

ORIGINAL RESEARCH ARTICLE Statistical Signal Detection as a Routine Pharmacovigilance Practice: Effects of Periodicity and Resignalling Criteria on Quality and Workload

Magnus Lerch
Peter Nowicki
Katrin Manlik
Gabriela Wirsching

January 2015

The Author(s) 2015. This article is published with open access at Springerlink.com Introduction The ...

'Mapping' Health State Utility Values from Non-preference-Based Measures: A Systematic Literature Review in Rare Diseases

Michela Meregaglia
Amanda Whittal
Elena Nicod
Michael Drummond

March 2020

Background The use of patient-reported outcome measures (PROMs) to monitor the effects of disease a...

Statistical operations: Analysis of health research data.

Hirsch, Robert P
Riegelman, Richard K

January 1996

This book is a logical and necessary follow-up to the authors first book, Statistical First Aid, a h...

Problems in selecting the adequate patient population from existing data files for assessment studies of new diagnostic tests

Schouw, Y.T. van der
Dijk, R.V. van
Verbeek, A.L.M.

January 1995

Contains fulltext : 20926___.PDF (publisher's version ) (Open Access

Large-Scale Personalized Health Surveillance by Collaborative Learning and Selective Sensing

Lin, Ying

August 2017

Thesis (Ph.D.)--University of Washington, 2017-08Recent advance in sensing and information technolog...

Statistical methods for non-ignorable missing data with applications to quality-of-life data

Liao, Kaijun

January 2012

Researchers increasingly use more and more survey studies, and design medical studies to better unde...

Frailty criteria give heterogeneous results when applied in clinical practice.

Iersel, M.B. van
Olde Rikkert, M.G.M.

January 2006

Contains fulltext : 50288.pdf (publisher's version ) (Closed access

Development of a battery of instruments for detailed measurement of health status in patients with COPD in routine care: the Nijmegen Clinical Screening Instrument.

Peters, J.B.
Daudey, L.
Heijdra, Y.F.
Molema, J.
Dekhuijzen, P.N.R.
Vercoulen, J.H.M.M.

January 2009

Contains fulltext : 80284.pdf (publisher's version ) (Closed access)PURPOSE: To co...

STATISTICAL METHODS FOR INDIVIDUALIZED HEALTH: ETIOLOGY, DIAGNOSIS, AND INTERVENTION EVALUATION

Wu, Zhenke

The term individualized health represents a goal of the next generation of health system: to treat t...

Health Surveillance

Steven E. Rigdon
Ronald D. Fricker

January 2016

Abstract This chapter describes the application of statistical methods for health surveillance, incl...

SUMMARY

Statist Med
Deborah Ashby Y
Adrian F. M. Smith

December 2014

We review two recent trends: the emergence of evidence-based medicine and the growing use of Bayesia...

Healthcare Prediction and Analysis System with Constant Data Polling

Thejas Bharadwaj
Aatish Balaji

September 2020

The applications of Big data and machine learning in the fields of healthcare, bioinformatics and in...

A Review of

Megan J. Olson Hunt
Lisa Weissfeld
Robert M. Boudreau
Howard Aizenstein
Anne B. Newman
Eleanor M. Simonsick
Dane R. Van Domelen
Fridtjof Thomas
Kristine Yaffe
Caterina Rosano
Graham J. Galloway
Caterina Rosano
Department Of

January 1994

doi: 10.3389/fninf.2014.00018 A variant of sparse partial least squares for variable selection and d...

Nonparametric statistical testing of EEG- and MEG-data

Maris, E.G.G.
Oostenveld, R.

January 2007

Contains fulltext : 56430.pdf (publisher's version ) (Closed access)14 p

Sparse statistical health monitoring:A novel variable selection approach to diagnosis and follow-up of individual patients

Engel, J.
Blanchet, L.
Engelke, U. F. H.
Wevers, R. A.
Buydens, L. M. C.

May 2017

The -omics technologies are becoming increasingly important in health care and are expected to contr...

ORIGINAL RESEARCH ARTICLE Statistical Signal Detection as a Routine Pharmacovigilance Practice: Effects of Periodicity and Resignalling Criteria on Quality and Workload

Magnus Lerch
Peter Nowicki
Katrin Manlik
Gabriela Wirsching

January 2015

The Author(s) 2015. This article is published with open access at Springerlink.com Introduction The ...

'Mapping' Health State Utility Values from Non-preference-Based Measures: A Systematic Literature Review in Rare Diseases

Michela Meregaglia
Amanda Whittal
Elena Nicod
Michael Drummond

March 2020

Background The use of patient-reported outcome measures (PROMs) to monitor the effects of disease a...

Statistical operations: Analysis of health research data.

Hirsch, Robert P
Riegelman, Richard K

January 1996

This book is a logical and necessary follow-up to the authors first book, Statistical First Aid, a h...

Problems in selecting the adequate patient population from existing data files for assessment studies of new diagnostic tests

Schouw, Y.T. van der
Dijk, R.V. van
Verbeek, A.L.M.

January 1995

Contains fulltext : 20926___.PDF (publisher's version ) (Open Access

Large-Scale Personalized Health Surveillance by Collaborative Learning and Selective Sensing

Lin, Ying

August 2017

Thesis (Ph.D.)--University of Washington, 2017-08Recent advance in sensing and information technolog...

Statistical methods for non-ignorable missing data with applications to quality-of-life data

Liao, Kaijun

January 2012

Researchers increasingly use more and more survey studies, and design medical studies to better unde...

Frailty criteria give heterogeneous results when applied in clinical practice.

Iersel, M.B. van
Olde Rikkert, M.G.M.

January 2006

Contains fulltext : 50288.pdf (publisher's version ) (Closed access

Development of a battery of instruments for detailed measurement of health status in patients with COPD in routine care: the Nijmegen Clinical Screening Instrument.

Peters, J.B.
Daudey, L.
Heijdra, Y.F.
Molema, J.
Dekhuijzen, P.N.R.
Vercoulen, J.H.M.M.

January 2009

Contains fulltext : 80284.pdf (publisher's version ) (Closed access)PURPOSE: To co...

STATISTICAL METHODS FOR INDIVIDUALIZED HEALTH: ETIOLOGY, DIAGNOSIS, AND INTERVENTION EVALUATION

Wu, Zhenke

The term individualized health represents a goal of the next generation of health system: to treat t...

Health Surveillance

Steven E. Rigdon
Ronald D. Fricker

January 2016

Abstract This chapter describes the application of statistical methods for health surveillance, incl...

SUMMARY

Statist Med
Deborah Ashby Y
Adrian F. M. Smith

December 2014

We review two recent trends: the emergence of evidence-based medicine and the growing use of Bayesia...

Healthcare Prediction and Analysis System with Constant Data Polling

Thejas Bharadwaj
Aatish Balaji

September 2020

The applications of Big data and machine learning in the fields of healthcare, bioinformatics and in...

A Review of

Megan J. Olson Hunt
Lisa Weissfeld
Robert M. Boudreau
Howard Aizenstein
Anne B. Newman
Eleanor M. Simonsick
Dane R. Van Domelen
Fridtjof Thomas
Kristine Yaffe
Caterina Rosano
Graham J. Galloway
Caterina Rosano
Department Of

January 1994

doi: 10.3389/fninf.2014.00018 A variant of sparse partial least squares for variable selection and d...

Nonparametric statistical testing of EEG- and MEG-data

Maris, E.G.G.
Oostenveld, R.

January 2007

Contains fulltext : 56430.pdf (publisher's version ) (Closed access)14 p

Sparse statistical health monitoring: A novel variable selection approach to diagnosis and follow-up of individual patients

Abstract

Extracted data

Sparse statistical health monitoring: A novel variable selection approach to diagnosis and follow-up of individual patients

Abstract

Extracted data

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