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Benchmarking prognosis methods for survivability - A case study for patients with contingent primary cancers.
Comput Biol Med. 2021 Nov;138:104888. doi: 10.1016/j.compbiomed.2021.104888. Epub 2021 Sep 23.
Comput Biol Med. 2021.
PMID: 34610552
Probabilistic modeling of short survivability in patients with brain metastasis from lung cancer.
Makond B, Wang KJ, Wang KM.
Makond B, et al.
Comput Methods Programs Biomed. 2015 May;119(3):142-62. doi: 10.1016/j.cmpb.2015.02.005. Epub 2015 Feb 21.
Comput Methods Programs Biomed. 2015.
PMID: 25804445
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Survivability modelling using Bayesian network for patients with first and secondary primary cancers.
Wang KM, Wang KJ, Makond B.
Wang KM, et al. Among authors: makond b.
Comput Methods Programs Biomed. 2020 Nov;196:105686. doi: 10.1016/j.cmpb.2020.105686. Epub 2020 Aug 1.
Comput Methods Programs Biomed. 2020.
PMID: 32777652
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An improved survivability prognosis of breast cancer by using sampling and feature selection technique to solve imbalanced patient classification data.
Wang KJ, Makond B, Wang KM.
Wang KJ, et al. Among authors: makond b.
BMC Med Inform Decis Mak. 2013 Nov 9;13:124. doi: 10.1186/1472-6947-13-124.
BMC Med Inform Decis Mak. 2013.
PMID: 24207108
Free PMC article.
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Modeling and predicting the occurrence of brain metastasis from lung cancer by Bayesian network: a case study of Taiwan.
Wang KJ, Makond B, Wang KM.
Wang KJ, et al. Among authors: makond b.
Comput Biol Med. 2014 Apr;47:147-60. doi: 10.1016/j.compbiomed.2014.02.002. Epub 2014 Feb 12.
Comput Biol Med. 2014.
PMID: 24607682
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