This paper is in the following e-collection/theme issue:

Secondary Use of Clinical Data for Research and Surveillance (450) Registered Report (743) Clinical Information and Decision Making (1802) Electronic Health Records (1267) Longitudinal and Cohort Studies in Public Health (386)

Published on in Vol 9, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24205, first published .
Transforming a Patient Registry Into a Customized Data Set for the Advanced Statistical Analysis of Health Risk Factors and for Medication-Related Hospitalization Research: Retrospective Hospital Patient Registry Study

Transforming a Patient Registry Into a Customized Data Set for the Advanced Statistical Analysis of Health Risk Factors and for Medication-Related Hospitalization Research: Retrospective Hospital Patient Registry Study

Transforming a Patient Registry Into a Customized Data Set for the Advanced Statistical Analysis of Health Risk Factors and for Medication-Related Hospitalization Research: Retrospective Hospital Patient Registry Study

Authors of this article:

Zhivko Taushanov1, 2 Author Orcid Image ;   Henk Verloo3, 4 Author Orcid Image ;   Boris Wernli5 Author Orcid Image ;   Saviana Di Giovanni3, 6 Author Orcid Image ;   Armin von Gunten4 Author Orcid Image ;   Filipa Pereira3, 7 Author Orcid Image
Article Authors Cited by (9) Tweetations (1) Metrics

Journals

  1. Pereira F, Verloo H, Taushanov Z, Di Giovanni S, Meyer-Massetti C, von Gunten A, Martins M, Wernli B. Risk of 30-day hospital readmission associated with medical conditions and drug regimens of polymedicated, older inpatients discharged home: a registry-based cohort study. BMJ Open 2021;11(7):e052755 View
  2. Pereira F, Verloo H, von Gunten A, del Río Carral M, Meyer-Massetti C, Martins M, Wernli B. Unplanned nursing home admission among discharged polymedicated older inpatients: a single-centre, registry-based study in Switzerland. BMJ Open 2022;12(3):e057444 View
  3. Bhat S, Selvam V, Ansari G, Ansari M, Rahman M, Rashid M. Prevalence and Early Prediction of Diabetes Using Machine Learning in North Kashmir: A Case Study of District Bandipora. Computational Intelligence and Neuroscience 2022;2022:1 View
  4. Pereira F, Meyer-Massetti C, del Río Carral M, von Gunten A, Wernli B, Verloo H. Development of a patient-centred medication management model for polymedicated home-dwelling older adults after hospital discharge: results of a mixed methods study. BMJ Open 2023;13(9):e072738 View
  5. Hack J, Watkins J, Hammer M. Machine learning models reveal distinct disease subgroups and improve diagnostic and prognostic accuracy for individuals with pathogenic SCN8A gain-of-function variants. Biology Open 2024;13(4) View
  6. Goetschi A, Verloo H, Wernli B, Wertli M, Meyer‐Massetti C. Prescribing pattern insights from a longitudinal study of older adult inpatients with polypharmacy and chronic non‐cancer pain. European Journal of Pain 2024;28(10):1645 View
  7. Wernli B, Verloo H, von Gunten A, Pereira F. Using Existing Clinical Data to Measure Older Adult Inpatients’ Frailty at Admission and Discharge: Hospital Patient Register Study. JMIR Aging 2024;7:e54839 View

Conference Proceedings

  1. M G, Asha V, Prasad A, P S, C R. 2023 7th International Conference on Computing Methodologies and Communication (ICCMC). Comparison of Machine Learning Techniques for Prediction of Diabetes View
  2. Banday M, Zafar S, Agarwal P, Alam M. Proceedings of the 5th International Conference on Information Management & Machine Intelligence. Diabetes Prediction Using Random Forest Classifier with Feature Augmentation View