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1.
On inductive biases for the robust and interpretable prediction of drug concentrations using deep compartment models.
J Pharmacokinet Pharmacodyn
; 2024 Mar 26.
Artículo
en Inglés
| MEDLINE | ID: mdl-38532084
2.
Evolution of Clinical Phenotypes of COVID-19 Patients During Intensive Care Treatment: An Unsupervised Machine Learning Analysis.
J Intensive Care Med
; 38(7): 612-629, 2023 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-36744415
3.
Improving Prediction of Favourable Outcome After 6 Months in Patients with Severe Traumatic Brain Injury Using Physiological Cerebral Parameters in a Multivariable Logistic Regression Model.
Neurocrit Care
; 33(2): 542-551, 2020 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-32056131
4.
Support vector machine-based assessment of the T-wave morphology improves long QT syndrome diagnosis.
Europace
; 20(suppl_3): iii113-iii119, 2018 Nov 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-30476061
5.
The added value of temporal data and the best way to handle it: A use-case for atrial fibrillation using general practitioner data.
Comput Biol Med
; 171: 108097, 2024 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-38412689
6.
A Generative and Causal Pharmacokinetic Model for Factor VIII in Hemophilia A: A Machine Learning Framework for Continuous Model Refinement.
Clin Pharmacol Ther
; 115(4): 881-889, 2024 04.
Artículo
en Inglés
| MEDLINE | ID: mdl-38372445
7.
Letter by Bennis et al Regarding Article, "Cerebral Near-Infrared Spectroscopy: A Potential Approach for Thrombectomy Monitoring".
Stroke
; 49(3): e135, 2018 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-29439195
8.
Embracing cohort heterogeneity in clinical machine learning development: a step toward generalizable models.
Sci Rep
; 13(1): 8363, 2023 05 24.
Artículo
en Inglés
| MEDLINE | ID: mdl-37225751
9.
Early identification of persistent somatic symptoms in primary care: data-driven and theory-driven predictive modelling based on electronic medical records of Dutch general practices.
BMJ Open
; 13(5): e066183, 2023 05 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-37130660
10.
Adoption of Machine Learning in Pharmacometrics: An Overview of Recent Implementations and Their Considerations.
Pharmaceutics
; 14(9)2022 Aug 29.
Artículo
en Inglés
| MEDLINE | ID: mdl-36145562
11.
Prediction of heart failure 1 year before diagnosis in general practitioner patients using machine learning algorithms: a retrospective case-control study.
BMJ Open
; 12(8): e060458, 2022 08 30.
Artículo
en Inglés
| MEDLINE | ID: mdl-36041765
12.
Detection of primary Sjögren's syndrome in primary care: developing a classification model with the use of routine healthcare data and machine learning.
BMC Prim Care
; 23(1): 199, 2022 08 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-35945489
13.
Diagnostic stewardship for blood cultures in the emergency department: A multicenter validation and prospective evaluation of a machine learning prediction tool.
EBioMedicine
; 82: 104176, 2022 Aug.
Artículo
en Inglés
| MEDLINE | ID: mdl-35853298
14.
Pulmonary pathophysiology development of COVID-19 assessed by serial Electrical Impedance Tomography in the MaastrICCht cohort.
Sci Rep
; 12(1): 14517, 2022 08 25.
Artículo
en Inglés
| MEDLINE | ID: mdl-36008523
15.
Ratio of arterial blood pressures at borders of window surrounding systolic peak indicates patent ductus arteriosus in preterm infants.
Physiol Meas
; 42(1): 015005, 2021 02 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-33348329
16.
Improving long QT syndrome diagnosis by a polynomial-based T-wave morphology characterization.
Heart Rhythm
; 17(5 Pt A): 752-758, 2020 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-31917370
17.
Serial measurements in COVID-19-induced acute respiratory disease to unravel heterogeneity of the disease course: design of the Maastricht Intensive Care COVID cohort (MaastrICCht).
BMJ Open
; 10(9): e040175, 2020 09 29.
Artículo
en Inglés
| MEDLINE | ID: mdl-32994259
18.
Artifacts in pulse transit time measurements using standard patient monitoring equipment.
PLoS One
; 14(6): e0218784, 2019.
Artículo
en Inglés
| MEDLINE | ID: mdl-31226142
19.
The use of single bipolar scalp derivation for the detection of ictal events during long-term EEG monitoring.
Epileptic Disord
; 19(3): 307-314, 2017 Sep 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-28832005
20.
A machine-learning based analysis for the recognition of progressive central hypovolemia.
Physiol Meas
; 38(9): 1791-1801, 2017 Aug 21.
Artículo
en Inglés
| MEDLINE | ID: mdl-28671554