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# coding: utf-8
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
"""
FILE: sample_analyze_healthcare.py
DESCRIPTION:
This sample demonstrates how to detect healthcare entities in a batch of documents.
Each entity found in the document will have a link associated with it from a
data source. Relations between entities will also be included in the response.
USAGE:
python sample_analyze_healthcare.py
Set the environment variables with your own values before running the sample:
1) AZURE_TEXT_ANALYTICS_ENDPOINT - the endpoint to your Cognitive Services resource.
2) AZURE_TEXT_ANALYTICS_KEY - your Text Analytics subscription key
"""
import os
class AnalyzeHealthcareSample(object):
def analyze_healthcare(self):
# [START analyze_healthcare]
from azure.core.credentials import AzureKeyCredential
from azure.ai.textanalytics import TextAnalyticsClient
endpoint = os.environ["AZURE_TEXT_ANALYTICS_ENDPOINT"]
key = os.environ["AZURE_TEXT_ANALYTICS_KEY"]
text_analytics_client = TextAnalyticsClient(
endpoint=endpoint,
credential=AzureKeyCredential(key),
api_version="v3.1-preview.3")
documents = [
"Subject is taking 100mg of ibuprofen twice daily"
]
poller = text_analytics_client.begin_analyze_healthcare(documents, show_stats=True)
result = poller.result()
docs = [doc for doc in result if not doc.is_error]
print("Results of Healthcare Analysis:")
for idx, doc in enumerate(docs):
for entity in doc.entities:
print("Entity: {}".format(entity.text))
print("...Category: {}".format(entity.category))
print("...Subcategory: {}".format(entity.subcategory))
print("...Offset: {}".format(entity.offset))
print("...Confidence score: {}".format(entity.confidence_score))
if entity.links is not None:
print("...Links:")
for link in entity.links:
print("......ID: {}".format(link.id))
print("......Data source: {}".format(link.data_source))
for relation in doc.relations:
print("Relation:")
print("...Source: {}".format(relation.source.text))
print("...Target: {}".format(relation.target.text))
print("...Type: {}".format(relation.relation_type))
print("...Bidirectional: {}".format(relation.is_bidirectional))
print("------------------------------------------")
# [END analyze_health]
if __name__ == "__main__":
sample = AnalyzeHealthcareSample()
sample.analyze_healthcare()
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