International Business Machines Corporation

Mengdi Zhu

Fang Wang

Vanessa V Michelini

Kirk Alan Beaty

Cheryl L Eifert

Bhuvan Sharma

Claudia S Huettner

Jia Xu

Marta Sanchez-Martin

Pengwei Yang

Computer-based methods, systems, and computer readable media for managing documents within a content repository or documents within the document subsets are provided. Documents may be pre-processed to be machine readable and classified within the content repository into one or more categories, based upon a number of times classification terms appear in a specific section of the document or based on an article type tag. Document subsets may be generated based on user-defined terms. Documents may be associated with specific cancer-types, genes, gene variants and drugs by comparing relevant search terms to specific sections of the documents. A request for processing the documents may include one or more of the search terms, pertaining to one or more from a group of gene, gene variant, drug, and cancer terms. A priority score may be determined for documents based on a frequency of one or more of the search terms in each of the specific sections, and the documents may be ranked from highest total priority score to lowest total priority score.

Automated document filtration and priority scoring for document searching and access

A computer system processes documents in a content repository. Each document of a plurality of documents is classified into one of a functional category and a clinical category. Each document is annotated using one or more corpora to generate document annotations. Documents satisfying one or more query terms are identified by comparing each query term to the document annotations. The identified documents are ranked based on a determined relevance. Guidelines are produced based on the ranking of the identified documents. Embodiments of the present invention further include a method and program product for processing documents in a content repository in substantially the same manner described above.

Processing documents in content repositories to generate personalized treatment guidelines

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Cambridge, MA, United States of America

Mengdi Zhu