Topic 1 Question 221
You work at a leading healthcare firm developing state-of-the-art algorithms for various use cases. You have unstructured textual data with custom labels. You need to extract and classify various medical phrases with these labels. What should you do?
Use the Healthcare Natural Language API to extract medical entities
Use a BERT-based model to fine-tune a medical entity extraction model
Use AutoML Entity Extraction to train a medical entity extraction model
Use TensorFlow to build a custom medical entity extraction model
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- 正解だと思う選択肢: B
A. Healthcare Natural Language API: While convenient, it lacks the customization capabilities for fine-tuning with custom labels, potentially limiting accuracy for your specific needs. C. AutoML Entity Extraction: It's generally well-suited for common entity types, but its pre-defined label set might not accommodate the full range of medical entities and relationships you need to extract. D. TensorFlow Custom Model: Building a model from scratch requires significant expertise, time, and resources, often less efficient than leveraging the power of pre-trained BERT models.
👍 1pikachu0072024/01/12
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