The DOI matches its Crossref record.
Temporal pattern discovery in longitudinal electronic patient records
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Registries for Evaluating Patient Outcomes: A User’s Guide
(2020) · doi:10.23970/ahrqepcregistries4 · Cited by 960
Unobtrusive Sensing and Wearable Devices for Health Informatics
Zheng, Y.-L., Ding, X.-R., Poon, C. C. Y., Lo, B. P. L., Zhang, H., Zhou, X.-L., Yang, G.-Z., Zhao, N., & Zhang, Y.-T. (2014) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2014.2309951 · Cited by 722
Stang, P. E., Ryan, P. B., Racoosin, J. A., Overhage, J. M., Hartzema, A. G., Reich, C., Welebob, E., Scarnecchia, T., & Woodcock, J. (2010) · Annals of Internal Medicine · doi:10.7326/0003-4819-153-9-201011020-00010 · Cited by 441
Shrinkage observed-to-expected ratios for robust and transparent large-scale pattern discovery
Norén, G. N., Hopstadius, J., & Bate, A. (2013) · Statistical Methods in Medical Research · doi:10.1177/0962280211403604 · Cited by 336
Self-citationClinical Data Reuse or Secondary Use: Current Status and Potential Future Progress
Meystre, S. M., Lovis, C., Bürkle, T., Tognola, G., Budrionis, A., & Lehmann, C. U. (2017) · Yearbook of Medical Informatics · doi:10.15265/iy-2017-007 · Cited by 204
Metadata
- Authors
- Norén, G. N., Hopstadius, J., Bate, A., Star, K., & Edwards, I. R.
- Venue
- Data Mining and Knowledge Discovery
- Published
- 2009-11-17
- Volume
- 20
- Issue
- 3
- Pages
- 361-387
- ISSN
- 1384-5810 (ISSN-L)
- 1573-756X
- OpenAlex
- W2009202077
- Cited by
- 170
- References
- 0
- FWCI
- 12.24
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Temporal pattern discovery in longitudinal electronic patient records. https://app.cochat.ai/papers/10.1007/s10618-009-0152-3
- The paper
- Norén, G. N., Hopstadius, J., Bate, A., Star, K., & Edwards, I. R. (2010). Temporal pattern discovery in longitudinal electronic patient records. Data Mining and Knowledge Discovery. https://doi.org/10.1007/s10618-009-0152-3
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
