Machine learning, natural language processing and network analysis-guided discovery related to medical research

A computing device configured to discover biological topics, symptoms and environmental and nutritional factors related to diseases, medical syndromes and biological functions, where biological topics comprise genes, biological molecules, and biological pathways, the computing device comprising a processor with means for:

• querying a database for at least one biological topic, symptom, environmental or nutritional factor, disease, medical syndrome or biological function;
• preprocessing the at least one query result for the at least one biological topic, symptom, environmental or nutritional factor, disease, medical syndrome or biological function, where preprocessing comprises at least one of natural language processing, normalization, and natural language understanding;
• transforming the at least one preprocessed query result in a different feature space;
• applying a plurality of data mining algorithms to the at least one transformed result;
• post-processing the outcomes of the data mining algorithms;
• and
• selectively combining the outcomes of the data mining algorithms into a single result, where combining produces (a) biological topics, symptoms, environmental and nutritional factors associated with diseases, medical syndromes and biological functions, and (b) patterns of interaction and effects of interaction between groups of biological topics, symptoms, environmental and nutritional factors associated with diseases, medical syndromes and biological functions.

A non-transitory computer program product that causes a computing device to discover biological topics, symptoms and environmental and nutritional factors related to diseases, medical syndromes and biological functions, where biological topics comprise genes, biological molecules, and biological pathways, the non-transitory computer program product having instructions to:

• query a database for at least one biological topic, symptom, environmental or nutritional factor, disease, medical syndrome or biological function;
• preprocess the at least one query result for the at least one biological topic, symptom, environmental or nutritional factor, disease, medical syndrome or biological function, where preprocessing comprises at least one of natural language processing, normalization, and natural language understanding;
• transform the at least one preprocessed query result in a different feature space;
• apply a plurality of data mining algorithms to the at least one transformed result;
• post-process the outcomes of the data mining algorithms;
• and
• selectively combine the outcomes of the data mining algorithms into a single result, where combining produces (a) biological topics, symptoms, environmental and nutritional factors associated with diseases, medical syndromes and biological functions, and (b) patterns of interaction and effects of interaction between groups of biological topics, symptoms, environmental and nutritional factors associated with diseases, medical syndromes and biological functions.