pyMeSHSim: an integrative python package for biomedical named entity recognition, normalization, and comparison of MeSH terms - Luo, Zhi-Hui; Shi, Meng-Wei; Yang, Zhuang; Zhang, Hong-Yu; Chen, Zhen-Xia (BMC bioinformatics, 2020)
Keywords: Algorithms; Annotations; Batch processing; Bioinformatics; Biomedical and Life Sciences; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; Correlation analysis; Data integration; Data mining; Datasets; Disease; Genes; Genetics; Knowledge-based analysis; Language; Life Sciences; Machine learning; MeSH; Microarrays; Named entity recognition; Natural language processing; Ontology; Performance evaluation; Phenotypes; Recognition; Semantic similarity; Semantics; Similarity; Software; Supplementary concept records; UMLS; Vocabularies & taxonomies; UMLS; MeSH; Semantic similarity; Supplementary concept records; Disease; Named entity recognition