The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Developing a new intelligent system for the diagnosis of tuberculous pleural effusion
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Citations
Cites
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
Kohavi, R. (1995) · Zenodo · doi:10.5281/zenodo.19712698 · Cited by 10,909
Gene selection for cancer classification using support vector machines
Guyon, I., Weston, J., Barnhill, S., & Vapnik, V. (2002) · Machine Learning · doi:10.1023/a:1012487302797 · Cited by 9,954
Porcel, J. M. (2009) · Lung · doi:10.1007/s00408-009-9165-3 · Cited by 303
Yield of sputum induction in the diagnosis of pleural tuberculosis
Conde, M. B., Loivos, A. C., Rezende, V. M., Soares, S. L. M., Mello, F. C. Q., Reingold, A. L., Daley, C. L., & Kritski, A. L. (2003) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.2111019 · Cited by 204
Xpert® MTB/RIF in pleural fluid for the diagnosis of tuberculosis [Short communication]
Porcel, J. M., Palma, R., Valdés, L., Bielsa, S., San-José, E., & Esquerda, A. (2013) · The International Journal of Tuberculosis and Lung Disease · doi:10.5588/ijtld.13.0178 · Cited by 51
Cited by
Magnetic Nanoparticles in Targeted Drug Delivery: a Review
kianfar, E. (2021) · Journal of Superconductivity and Novel Magnetism · doi:10.1007/s10948-021-05932-9 · Cited by 280
Metadata
- Authors
- Li, C., Hou, L., Sharma, B. Y., Li, H., Chen, C., Li, Y., Zhao, X., Huang, H., Cai, Z., & Chen, H.
- Venue
- Computer Methods and Programs in Biomedicine
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 153
- Pages
- 211-225
- ISSN
- 0169-2607 (ISSN-L)
- OpenAlex
- W2765169965
- Cited by
- 203
- References
- 5
- FWCI
- 11.74
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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- CoChat. (2026). Citation check: Developing a new intelligent system for the diagnosis of tuberculous pleural effusion. https://app.cochat.ai/papers/10.1016/j.cmpb.2017.10.022
- The paper
- Li, C., Hou, L., Sharma, B. Y., Li, H., Chen, C., Li, Y., Zhao, X., Huang, H., Cai, Z., & Chen, H. (2018). Developing a new intelligent system for the diagnosis of tuberculous pleural effusion. Computer Methods and Programs in Biomedicine. https://doi.org/10.1016/j.cmpb.2017.10.022
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.