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Advances in clustering and visualization of time series using GTM through time

Neural networks, 2008-09, Vol.21 (7), p.904-913

2008

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Externally validated models for first diagnosis and risk of progression of knee osteoarthritis

PloS one, 2022-07, Vol.17 (7), p.e0270652-e0270652

2022

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Renin-angiotensin system inhibitors effect before and during hospitalization in COVID-19 outcomes: Final analysis of the international HOPE COVID-19 (Health Outcome Predictive Evaluation for COVID-19) registry

The American heart journal, 2021-07, Vol.237, p.104-115

2021

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The INTERPRET Decision-Support System version 3.0 for evaluation of Magnetic Resonance Spectroscopy data from human brain tumours and other abnormal brain masses

BMC bioinformatics, 2010-11, Vol.11 (1), p.581-581, Article 581

2010

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A switching multi-scale dynamical network model of EEG/MEG

NeuroImage (Orlando, Fla.), 2013-12, Vol.83, p.262-287

2013

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Nonnegative/Binary matrix factorization with a D-Wave quantum annealer

PloS one, 2018-12, Vol.13 (12), p.e0206653-e0206653

2018

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Genomewide Screen for Tolerance to Cationic Drugs Reveals Genes Important for Potassium Homeostasis in Saccharomyces cerevisiae

Eukaryotic Cell, 2011-09, Vol.10 (9), p.1241-1250

2011

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SpectraClassifier 1.0: a user friendly, automated MRS-based classifier-development system

BMC bioinformatics, 2010-02, Vol.11 (1), p.106-106, Article 106

2010

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From raw data to data-analysis for magnetic resonance spectroscopy--the missing link: jMRUI2XML

BMC bioinformatics, 2015-11, Vol.16 (373), p.378-378, Article 378

2015

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Predicting drug activity against cancer cells by random forest models based on minimal genomic information and chemical properties

PloS one, 2019-07, Vol.14 (7), p.e0219774

2019

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A novel semi-supervised methodology for extracting tumor type-specific MRS sources in human brain data

PloS one, 2013-12, Vol.8 (12), p.e83773-e83773

2013

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A comparison of machine learning models versus clinical evaluation for mortality prediction in patients with sepsis

PloS one, 2021-01, Vol.16 (1), p.e0245157-e0245157

2021

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Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures

PloS one, 2019-08, Vol.14 (8), p.e0219796

2019

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Predicting Intensive Care Unit admission among patients presenting to the emergency department using machine learning and natural language processing

PloS one, 2020-03, Vol.15 (3), p.e0229331-e0229331

2020

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A variational Bayesian approach for the robust analysis of the cortical silent period from EMG recordings of brain stroke patients

Neurocomputing (Amsterdam), 2011-04, Vol.74 (9), p.1301-1314

2011

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How machine learning is impacting research in atrial fibrillation: implications for risk prediction and future management

Cardiovascular research, 2021-06, Vol.117 (7), p.1700-1717

2021

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Drug-target interaction prediction using Multi Graph Regularized Nuclear Norm Minimization

PloS one, 2020-01, Vol.15 (1), p.e0226484

2020

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A Bayesian approach to identify Bitcoin users

PloS one, 2018-12, Vol.13 (12), p.e0207000-e0207000

2018

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Risk of mortality and cardiopulmonary arrest in critical patients presenting to the emergency department using machine learning and natural language processing

PloS one, 2020-04, Vol.15 (4), p.e0230876-e0230876

2020

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Automatic diagnostics of tuberculosis using convolutional neural networks analysis of MODS digital images

PloS one, 2019-02, Vol.14 (2), p.e0212094-e0212094

2019

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MGP-AttTCN: An interpretable machine learning model for the prediction of sepsis

PloS one, 2021-05, Vol.16 (5), p.e0251248-e0251248

2021

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Multiproject–multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy

Magma (New York, N.Y.), 2009-02, Vol.22 (1), p.5-18

2009

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Identifying Parkinson's disease and parkinsonism cases using routinely collected healthcare data: A systematic review

PloS one, 2019-01, Vol.14 (1), p.e0198736-e0198736

2019

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Causal inference and observational data

BMC medical research methodology, 2023-10, Vol.23 (1), p.1-227, Article 227

2023

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ClinicalCodes: an online clinical codes repository to improve the validity and reproducibility of research using electronic medical records

PloS one, 2014-06, Vol.9 (6), p.e99825-e99825

2014

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Advances in clustering and visualization of time series using GTM through time

Externally validated models for first diagnosis and risk of progression of knee osteoarthritis

Renin-angiotensin system inhibitors effect before and during hospitalization in COVID-19 outcomes: Final analysis of the international HOPE COVID-19 (Health Outcome Predictive Evaluation for COVID-19) registry

The INTERPRET Decision-Support System version 3.0 for evaluation of Magnetic Resonance Spectroscopy data from human brain tumours and other abnormal brain masses

A switching multi-scale dynamical network model of EEG/MEG

Nonnegative/Binary matrix factorization with a D-Wave quantum annealer

Genomewide Screen for Tolerance to Cationic Drugs Reveals Genes Important for Potassium Homeostasis in Saccharomyces cerevisiae

SpectraClassifier 1.0: a user friendly, automated MRS-based classifier-development system

From raw data to data-analysis for magnetic resonance spectroscopy--the missing link: jMRUI2XML

Predicting drug activity against cancer cells by random forest models based on minimal genomic information and chemical properties

A novel semi-supervised methodology for extracting tumor type-specific MRS sources in human brain data

A comparison of machine learning models versus clinical evaluation for mortality prediction in patients with sepsis

Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures

Predicting Intensive Care Unit admission among patients presenting to the emergency department using machine learning and natural language processing

A variational Bayesian approach for the robust analysis of the cortical silent period from EMG recordings of brain stroke patients

How machine learning is impacting research in atrial fibrillation: implications for risk prediction and future management

Drug-target interaction prediction using Multi Graph Regularized Nuclear Norm Minimization

A Bayesian approach to identify Bitcoin users

Risk of mortality and cardiopulmonary arrest in critical patients presenting to the emergency department using machine learning and natural language processing

Automatic diagnostics of tuberculosis using convolutional neural networks analysis of MODS digital images

MGP-AttTCN: An interpretable machine learning model for the prediction of sepsis

Multiproject–multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy

Identifying Parkinson's disease and parkinsonism cases using routinely collected healthcare data: A systematic review

Causal inference and observational data

ClinicalCodes: an online clinical codes repository to improve the validity and reproducibility of research using electronic medical records

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