Systems and methods for coding health records using weighted belief networks

摘要

Systems and methods to code medical records using weighted belief networks are provided. Medical records are received, and may be subjected to pre-processing which includes deduplication of records, indexing the records, meta-tagging the records, and annotating the records. An entity extractor then generates entity dictionaries from public sources. A network creator generates a belief network based on medical relationships. An annotation aligner receives normalized annotations of historical medical records, and a network weighter assigns probability values to the belief network using the normalized annotations to generated a weighted belief network. A health care code classifier utilizes the weighted belief network to classify the medical records by comparing entities within the medical records.