ICD-10-CM Sentence entity resolver
收藏Snowflake2025-01-18 更新2025-04-09 收录
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This pipeline extracts the following entities and maps them to their ICD-10-CM codes using sbiobert_base_cased_mli sentence embeddings. It predicts ICD-10-CM codes up to 3 characters (according to ICD-10-CM code structure the first three characters represent the general type of injury or disease).
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**Predicted Entities:**
COMMUNICABLE_DISEASE, DIABETES, DISEASE_SYNDROME_DISORDER, EKG_FINDINGS, HEART_DISEASE, HYPERLIPIDEMIA, HYPERTENSION, IMAGINGFINDINGS, INJURY_OR_POISONING, KIDNEY_DISEASE, OBESITY, ONCOLOGICAL, OVERWEIGHT, PREGNANCY, PSYCHOLOGICAL_CONDITION, SYMPTOM, VS_FINDING
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Utilizing a model that extracts clinical entities and maps them to their corresponding ICD-10-CM codes enhances medical documentation and billing processes. By automatically identifying and coding diverse conditions like heart disease and diabetes up to the category level, it streamlines claims processing, improves coding accuracy, and reduces the likelihood of billing errors.
提供机构:
John Snow Labs
创建时间:
2025-01-16



