Ghent University Academic Bibliography

Journal Article
A1
open access

Uncovering the potential of smartphones for behavior monitoring during migraine follow-up

Marija Stojchevska (UGent) , Jonas Van Der Donckt (UGent) , Nicolas Vandenbussche (UGent) , Mathias De Brouwer (UGent) , Koen Paemeleire (UGent) , Femke Ongenae (UGent) and Sofie Van Hoecke (UGent)

(2025) BMC MEDICAL INFORMATICS AND DECISION MAKING. 25(1).

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Journal Article
A1
open access

Development and evaluation of uncertainty quantifying machine learning models to predict piperacillin plasma concentrations in critically ill patients

Jarne Verhaeghe (UGent) , Sofie Dhaese, Thomas De Corte (UGent) , David Vander Mijnsbrugge, Heleen Aardema, Jan G. Zijlstra, Alain Verstraete (UGent) , Veronique Stove (UGent) , Pieter Colin, Femke Ongenae (UGent) , et al.

(2022) BMC MEDICAL INFORMATICS AND DECISION MAKING. 22(1).

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Journal Article
A1
open access

Leveraging artificial intelligence and data science techniques in harmonizing, sharing, accessing and analyzing SARS-COV-2/COVID-19 data in Rwanda (LAISDAR Project) : study design and rationale

Aurore Nishimwe, Charles Ruranga, Clarisse Musanabaganwa, Regine Mugeni, Muhammed Semakula, Joseph Nzabanita, Ignace Kabano, Annie Uwimana, Jean N. Utumatwishima, Jean Damascene Kabakambira, et al.

(2022) BMC MEDICAL INFORMATICS AND DECISION MAKING. 22(1).

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Journal Article
A1
open access

An exploration of expectations and perceptions of practicing physicians on the implementation of computerized clinical decision support systems using a Qsort approach

Wim Van Biesen (UGent) , Daan Van Cauwenberge (UGent) , Johan Decruyenaere (UGent) , Tamara Leune (UGent) and Sigrid Sterckx (UGent)

(2022) BMC MEDICAL INFORMATICS AND DECISION MAKING. 22(1).

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Journal Article
A1
open access

Assessing the added value of context during stress detection from wearable data

Marija Stojchevska (UGent) , Bram Steenwinckel (UGent) , Jonas Van Der Donckt (UGent) , Mathias De Brouwer (UGent) , Annelies Goris, Filip De Turck (UGent) , Sofie Van Hoecke (UGent) and Femke Ongenae (UGent)

(2022) BMC MEDICAL INFORMATICS AND DECISION MAKING. 22(1).

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Journal Article
A1
open access

mBrain : towards the continuous follow-up and headache classification of primary headache disorder patients

Mathias De Brouwer (UGent) , Nicolas Vandenbussche (UGent) , Bram Steenwinckel (UGent) , Marija Stojchevska (UGent) , Jonas Van Der Donckt (UGent) , Vic Degraeve, Jasper Vaneessen (UGent) , Filip De Turck (UGent) , Bruno Volckaert (UGent) , Paul Boon (UGent) , et al.

(2022) BMC MEDICAL INFORMATICS AND DECISION MAKING. 22(1).

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Journal Article
A1
open access

Classification of painful or painless diabetic peripheral neuropathy and identification of the most powerful predictors using machine learning models in large cross-sectional cohorts

Georgios Baskozos, Andreas C. Themistocleous, Harry L. Hebert, Mathilde M. Pascal, Jishi John, Brian C. Callaghan, Helen Laycock, Yelena Granovsky, Geert Crombez (UGent) , David Yarnitsky, et al.

(2022) BMC MEDICAL INFORMATICS AND DECISION MAKING. 22(1).

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Journal Article
A1
open access

The concept of justifiable healthcare and how big data can help us to achieve it

Wim Van Biesen (UGent) , Catherine Van Der Straeten (UGent) , Sigrid Sterckx (UGent) , Johan Steen (UGent) , Lisa Diependaele and Johan Decruyenaere (UGent)

(2021) BMC MEDICAL INFORMATICS AND DECISION MAKING. 21(1).

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Journal Article
A1
open access

MINDWALC : mining interpretable, discriminative walks for classification of nodes in a knowledge graph

Gilles Vandewiele (UGent) , Bram Steenwinckel (UGent) , Filip De Turck (UGent) and Femke Ongenae (UGent)

(2020) BMC MEDICAL INFORMATICS AND DECISION MAKING. 20(Suppl 4).

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Journal Article
A1
open access

A decision support system to follow up and diagnose primary headache patients using semantically enriched data

Gilles Vandewiele (UGent) , Femke De Backere (UGent) , Kiani Lannoye, Maarten Vanden Berghe, Olivier Janssens (UGent) , Sofie Van Hoecke (UGent) , Vincent Keereman (UGent) , Koen Paemeleire (UGent) , Femke Ongenae (UGent) and Filip De Turck (UGent)

(2018) BMC MEDICAL INFORMATICS AND DECISION MAKING. 18.

Academic Bibliography

Uncovering the potential of smartphones for behavior monitoring during migraine follow-up

Development and evaluation of uncertainty quantifying machine learning models to predict piperacillin plasma concentrations in critically ill patients

Leveraging artificial intelligence and data science techniques in harmonizing, sharing, accessing and analyzing SARS-COV-2/COVID-19 data in Rwanda (LAISDAR Project) : study design and rationale

An exploration of expectations and perceptions of practicing physicians on the implementation of computerized clinical decision support systems using a Qsort approach

Assessing the added value of context during stress detection from wearable data

mBrain : towards the continuous follow-up and headache classification of primary headache disorder patients

Classification of painful or painless diabetic peripheral neuropathy and identification of the most powerful predictors using machine learning models in large cross-sectional cohorts

The concept of justifiable healthcare and how big data can help us to achieve it

MINDWALC : mining interpretable, discriminative walks for classification of nodes in a knowledge graph

A decision support system to follow up and diagnose primary headache patients using semantically enriched data

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