The DOI matches its Crossref record; 162 of the 162 references it cites were found in a registry or an index.
A review of evidence of health benefit from artificial neural networks in medical intervention
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Citations
Cites
The meaning and use of the area under a receiver operating characteristic (ROC) curve.
Hanley, J. A., & McNeil, B. J. (1982) · Radiology · doi:10.1148/radiology.143.1.7063747 · Cited by 21,856
Neural networks for pattern recognition
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To Err Is Human: Building a Safer Health System
(2000) · National Academies Press eBooks · doi:10.17226/9728 · Cited by 14,044
APACHE II: A severity of disease classification system
KNAUS, W. A., DRAPER, E. A., WAGNER, D. P., & ZIMMERMAN, J. E. (1985) · Critical Care Medicine · doi:10.1097/00003246-198510000-00009 · Cited by 13,664
APACHE II-A Severity of Disease Classification System: Reply
Knaus, W. A., Draper, E. A., Wagner, D. P., & Zimmerman, J. E. (1986) · Critical Care Medicine · doi:10.1097/00003246-198608000-00028 · Cited by 13,376
Advances in Neural Information Processing Systems 14: Proceedings of the 2001 Conference
(2002) · The MIT Press eBooks · doi:10.7551/mitpress/1120.001.0001 · Cited by 8,890
Statistical pattern recognition: a review
Jain, A. K., Duin, P. W., & Mao, J. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.824819 · Cited by 6,767
Pattern Recognition and Neural Networks
Ripley, B. D. (1996) · Cambridge University Press eBooks · doi:10.1017/cbo9780511812651 · Cited by 6,459
Wall, A. (2000) · British Journal of Healthcare Management · doi:10.12968/bjhc.2000.6.9.19311 · Cited by 5,903
Human error: models and management
Reason, J. (2000) · BMJ · doi:10.1136/bmj.320.7237.768 · Cited by 5,665
Cited by
Logistic regression and Artificial Neural Network Classification models: A methodology review
Dreiseitl, S., & Ohno-Machado, L. (2002) · Journal of Biomedical Informatics · doi:10.1016/s1532-0464(03)00034-0 · Cited by 2,177
Machine Learning Approaches for Clinical Psychology and Psychiatry
Dwyer, D. B., Falkai, P., & Koutsouleris, N. (2018) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032816-045037 · Cited by 966
Application of deep learning algorithms in geotechnical engineering: a short critical review
Zhang, W., Li, H., Li, Y., Liu, H., Chen, Y., & Ding, X. (2021) · Artificial Intelligence Review · doi:10.1007/s10462-021-09967-1 · Cited by 538
Costs and benefits of health information technology.
Shekelle, P. G., Morton, S. C., & Keeler, E. B. (2006) · doi:10.23970/ahrqepcerta132 · Cited by 501
The use of artificial neural networks in decision support in cancer: A systematic review
Lisboa, P. J., & Taktak, A. F. G. (2006) · Neural Networks · doi:10.1016/j.neunet.2005.10.007 · Cited by 462
Self-citation
Metadata
- Authors
- Lisboa, P. J. G.
- Venue
- Neural Networks
- Publisher
- Elsevier BV
- Published
- 2002-01
- Volume
- 15
- Issue
- 1
- Pages
- 11-39
- ISSN
- 0893-6080 (ISSN-L)
- OpenAlex
- W1991426267
- Cited by
- 458
- References
- 162
- FWCI
- 17.64
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A review of evidence of health benefit from artificial neural networks in medical intervention. https://app.cochat.ai/papers/10.1016/s0893-6080(01)00111-3
- The paper
- Lisboa, P. J. G. (2002). A review of evidence of health benefit from artificial neural networks in medical intervention. Neural Networks. https://doi.org/10.1016/s0893-6080(01)00111-3
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.