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03_​Fun_​with_​Tags

Workflow

Dictionary & Corpus Creation Model Training & Evaluation Co-occurrence of TaggedDisease Names Fun with TagsAutomated access to disease information is an important goal of information extraction and text mining efforts. Here, we want to create a model that learns diseasenames in a set of documents from biomedical literature. We will automatically extract literature from PubMed and use these documents to train our model on aninitial set of disease names (the dictionary). We score the resulting model and check if we can extract new information by comparing the detected disease namesto our initial set. Subsequently, we interactively inspect the diseases that co-ooccur in the same documents by a network approach and look into geneticinformation associated with these diseases.BLOG: https://www.knime.com/blog/fun-with-tags visualizes sub-graphthis node accesses PubMed several times. It needs internet connectionand it might take long timeto fully execute!read diseasenamesbuilds co-occurrencenetwork2. Select diseaseto visualize sub-graph1. Select diseases or disease groupsfor further inspection SubGraph String Manipulation Create Corpusfrom PubMed Disease Names Model Trainingand Evaluation Co-Oc Network Compare withinput dictionary Dictionary & Corpus Creation Model Training & Evaluation Co-occurrence of TaggedDisease Names Fun with TagsAutomated access to disease information is an important goal of information extraction and text mining efforts. Here, we want to create a model that learns diseasenames in a set of documents from biomedical literature. We will automatically extract literature from PubMed and use these documents to train our model on aninitial set of disease names (the dictionary). We score the resulting model and check if we can extract new information by comparing the detected disease namesto our initial set. Subsequently, we interactively inspect the diseases that co-ooccur in the same documents by a network approach and look into geneticinformation associated with these diseases.BLOG: https://www.knime.com/blog/fun-with-tags visualizes sub-graphthis node accesses PubMed several times. It needs internet connectionand it might take long timeto fully execute!read diseasenamesbuilds co-occurrencenetwork2. Select diseaseto visualize sub-graph1. Select diseases or disease groupsfor further inspection SubGraph String Manipulation Create Corpusfrom PubMed Disease Names Model Trainingand Evaluation Co-Oc Network Compare withinput dictionary

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Nodes

03_​Fun_​with_​Tags consists of the following 105 nodes(s):

Plugins

03_​Fun_​with_​Tags contains nodes provided by the following 6 plugin(s):