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1.
Topic evolution before fall incidents in new fallers through natural language processing of general practitioners' clinical notes.
Age Ageing
; 53(2)2024 Feb 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-38364820
2.
Predicting future falls in older people using natural language processing of general practitioners' clinical notes.
Age Ageing
; 52(4)2023 04 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-37014000
3.
TARGET-HF: developing a model for detecting incident heart failure among symptomatic patients in general practice using routine health care data.
Fam Pract
; 40(1): 188-194, 2023 02 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-35778772
4.
Early detection of colorectal cancer by leveraging Dutch primary care consultation notes with free text embeddings.
Sci Rep
; 13(1): 10760, 2023 07 04.
Artículo
en Inglés
| MEDLINE | ID: mdl-37402757
5.
Adverse drug event detection using natural language processing: A scoping review of supervised learning methods.
PLoS One
; 18(1): e0279842, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-36595517
6.
Association of Proton Pump Inhibitor Use With Risk of Acquiring Drug-Resistant Enterobacterales.
JAMA Netw Open
; 6(2): e230470, 2023 02 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-36821114
7.
Electronic health record-based prediction models for in-hospital adverse drug event diagnosis or prognosis: a systematic review.
J Am Med Inform Assoc
; 30(5): 978-988, 2023 04 19.
Artículo
en Inglés
| MEDLINE | ID: mdl-36805926
8.
Characteristics of heart failure in the Amsterdam metropolitan area (AMSTERDAM-HF): Data from a dynamic general practice cohort (2011-2021).
Int J Cardiol
; 389: 131217, 2023 10 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-37499948
9.
Diagnostic properties of natriuretic peptides and opportunities for personalized thresholds for detecting heart failure in primary care.
Diagnosis (Berl)
; 10(4): 432-439, 2023 Nov 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-37667563
10.
Acute kidney injury associated with nephrotoxic drugs in critically ill patients: a multicenter cohort study using electronic health record data.
Clin Kidney J
; 16(12): 2549-2558, 2023 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-38045998
11.
Machine Learning, Clinical Notes and Knowledge Graphs for Early Prediction of Acute Kidney Injury in the Intensive Care.
Stud Health Technol Inform
; 289: 329-332, 2022 Jan 14.
Artículo
en Inglés
| MEDLINE | ID: mdl-35062159
12.
External Validation and Transportability of Models to Predict Acute Kidney Injury in the Intensive Care Unit.
Stud Health Technol Inform
; 295: 148-151, 2022 Jun 29.
Artículo
en Inglés
| MEDLINE | ID: mdl-35773829
13.
Development and Internal Validation of a Risk Prediction Model for Falls Among Older People Using Primary Care Electronic Health Records.
J Gerontol A Biol Sci Med Sci
; 77(7): 1438-1445, 2022 07 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-34637510
14.
Machine learning models for predicting acute kidney injury: a systematic review and critical appraisal.
Clin Kidney J
; 15(12): 2266-2280, 2022 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-36381375
15.
External Validation of a Prediction Model for Falls in Older People Based on Electronic Health Records in Primary Care.
J Am Med Dir Assoc
; 23(10): 1691-1697.e3, 2022 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-35963283
16.
Incorrect application of the KDIGO acute kidney injury staging criteria.
Clin Kidney J
; 15(5): 937-941, 2022 May.
Artículo
en Inglés
| MEDLINE | ID: mdl-35498879
17.
Assess and validate predictive performance of models for in-hospital mortality in COVID-19 patients: A retrospective cohort study in the Netherlands comparing the value of registry data with high-granular electronic health records.
Int J Med Inform
; 167: 104863, 2022 11.
Artículo
en Inglés
| MEDLINE | ID: mdl-36162166
18.
Interpretable and Continuous Prediction of Acute Kidney Injury in the Intensive Care.
Stud Health Technol Inform
; 281: 103-107, 2021 May 27.
Artículo
en Inglés
| MEDLINE | ID: mdl-34042714
19.
Development of a prediction model for foot ulcer recurrence in people with diabetes using easy-to-obtain clinical variables.
BMJ Open Diabetes Res Care
; 9(1)2021 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-34301678
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