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1.
Evaluation of a Machine Learning-Based Dysphagia Prediction Tool in Clinical Routine: A Prospective Observational Cohort Study.
Dysphagia
; 38(4): 1238-1246, 2023 Aug.
Article
in English
| MEDLINE | ID: mdl-36625964
2.
Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study.
J Med Syst
; 45(4): 48, 2021 Mar 01.
Article
in English
| MEDLINE | ID: mdl-33646459
3.
A novel hybrid modeling approach for the evaluation of integrated care and economic outcome in heart failure treatment.
BMC Med Inform Decis Mak
; 19(1): 229, 2019 11 21.
Article
in English
| MEDLINE | ID: mdl-31752819
4.
Correction to: Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study.
J Med Syst
; 45(4): 52, 2021 Mar 10.
Article
in English
| MEDLINE | ID: mdl-33740133
5.
A Transformer-Based Model Trained on Large Scale Claims Data for Prediction of Severe COVID-19 Disease Progression.
IEEE J Biomed Health Inform
; 27(9): 4548-4558, 2023 09.
Article
in English
| MEDLINE | ID: mdl-37347632
6.
Development of an Architecture to Implement Machine Learning Based Risk Prediction in Clinical Routine: A Service-Oriented Approach.
Stud Health Technol Inform
; 293: 262-269, 2022 May 16.
Article
in English
| MEDLINE | ID: mdl-35592992
7.
External Validation of a Machine Learning Based Delirium Prediction Software in Clinical Routine.
Stud Health Technol Inform
; 293: 93-100, 2022 May 16.
Article
in English
| MEDLINE | ID: mdl-35592966
8.
Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events.
Stud Health Technol Inform
; 279: 136-143, 2021 May 07.
Article
in English
| MEDLINE | ID: mdl-33965930
9.
Multivariable Risk Prediction of Dysphagia in Hospitalized Patients Using Machine Learning.
Stud Health Technol Inform
; 271: 31-38, 2020 Jun 23.
Article
in English
| MEDLINE | ID: mdl-32578538
10.
Risk prediction of delirium in hospitalized patients using machine learning: An implementation and prospective evaluation study.
J Am Med Inform Assoc
; 27(9): 1383-1392, 2020 07 01.
Article
in English
| MEDLINE | ID: mdl-32968811
11.
Development of a Machine Learning Model Predicting an ICU Admission for Patients with Elective Surgery and Its Prospective Validation in Clinical Practice.
Stud Health Technol Inform
; 264: 173-177, 2019 Aug 21.
Article
in English
| MEDLINE | ID: mdl-31437908
12.
Information Adapted Machine Learning Models for Prediction in Clinical Workflow.
Stud Health Technol Inform
; 260: 65-72, 2019.
Article
in English
| MEDLINE | ID: mdl-31118320
13.
Is Regular Re-Training of a Predictive Delirium Model Necessary After Deployment in Routine Care?
Stud Health Technol Inform
; 260: 186-191, 2019.
Article
in English
| MEDLINE | ID: mdl-31118336
14.
An Improvised Classification Model for Predicting Delirium.
Stud Health Technol Inform
; 264: 1566-1567, 2019 Aug 21.
Article
in English
| MEDLINE | ID: mdl-31438234
15.
Cleansing and Imputation of Body Mass Index Data and Its Impact on a Machine Learning Based Prediction Model.
Stud Health Technol Inform
; 248: 116-123, 2018.
Article
in English
| MEDLINE | ID: mdl-29726427
16.
Evaluating the Impact of Incorrect Diabetes Coding on the Performance of Multivariable Prediction Models.
Stud Health Technol Inform
; 251: 249-252, 2018.
Article
in English
| MEDLINE | ID: mdl-29968650
17.
On the Representation of Machine Learning Results for Delirium Prediction in a Hospital Information System in Routine Care.
Stud Health Technol Inform
; 251: 97-100, 2018.
Article
in English
| MEDLINE | ID: mdl-29968611
18.
Development and Validation of a Multivariable Prediction Model for the Occurrence of Delirium in Hospitalized Gerontopsychiatry and Internal Medicine Patients.
Stud Health Technol Inform
; 236: 32-39, 2017.
Article
in English
| MEDLINE | ID: mdl-28508776
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