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8

Healthcare NLP for Data Scientists

سرفصل های دوره

Unlock your NLP power with Healthcare NLP, the most popular NLP library in the healthcare industry


1. Introduction
  • 1. Healthcare NLP for Data Scientists course overview
  • 2. Course Structure
  • 3. How to obtain a Healthcare NLP license for the course.html

  • 2. Text Embeddings
  • 1.1 AverageEmbeddings.ipynb.html
  • 1. AverageEmbeddings
  • 2.1 BertSentenceChunkEmbeddings.ipynb.html
  • 2. BertSentenceChunkEmbeddings
  • 3.1 ChunkSentenceSplitter.ipynb.html
  • 3. ChunkSentenceSplitter
  • 4.1 EntityChunkEmbeddings.ipynb.html
  • 4. EntityChunkEmbeddings

  • 3. Text Processing
  • 1.1 AnnotationMerger.ipynb.html
  • 1. AnnotationMerger
  • 2.1 Replacer.ipynb.html
  • 2. Replacer
  • 3.1 Chunk2Token.ipynb.html
  • 3. Chunk2Token
  • 4.1 ChunkKeyPhraseExtraction.ipynb.html
  • 4. ChunkKeyPhraseExtraction
  • 5.1 DateNormalizer.ipynb.html
  • 5. DateNormalizer
  • 6.1 DrugNormalizer.ipynb.html
  • 6. DrugNormalizer
  • 7.1 IOBTagger.ipynb.html
  • 7. IOBTagger
  • 8.1 NerDisambiguator.ipynb.html
  • 8. NerDisambiguator
  • 9.1 NerChunker.ipynb.html
  • 9. NerChunker
  • 10. Flattener
  • 11.1 NerQuestionGenerator.ipynb.html
  • 11. NerQuestionGenerator
  • 12. InternalDocumentSplitter

  • 4. NER
  • 1. RegexMatcher
  • 2.1 NerConverterInternal.ipynb.html
  • 2. NerConverter
  • 3.1 MedicalNerApproach.ipynb.html
  • 3. Ner Model Inference
  • 4.1 MedicalNerModel.ipynb.html
  • 4. NerModel
  • 5.1 MedicalBertForTokenClassifier.ipynb.html
  • 5. BertForTokenClassifier
  • 6.1 ChunkFilterer.ipynb.html
  • 6. ChunkFilterer
  • 7.1 ChunkFiltererApproach.ipynb.html
  • 7. ChunkFilterer Model Inference
  • 8.1 ChunkMapperApproach.ipynb.html
  • 8. ChunkMerge Model Inference
  • 9.1 ChunkMergeModel.ipynb.html
  • 9.2 ChunkMergeModel.ipynb.html
  • 9. ChunkMergeModel
  • 10.1 ChunkConverter.ipynb.html
  • 10. ChunkConverter
  • 11.1 ContextualParserModel.ipynb.html
  • 11. ContextualParserModel
  • 12.1 ZeroShotNerModel.ipynb.html
  • 12. ZeroShotNerModel
  • 13.1 ContextualParserModel.ipynb.html
  • 13. ContextualParser Model Inference
  • 14. EntityRuler
  • 15. TextMatcher

  • 5. Assertion Status Detection
  • 1.1 AssertionChunkConverter.ipynb.html
  • 1. AssertionChunkConverter
  • 2.1 AssertionFilterer.ipynb.html
  • 2. AssertionFilterer
  • 3.1 AssertionDLModel.ipynb.html
  • 3. AssertionDLModel
  • 4. AssertionLogReg Model Inference
  • 5.1 AssertionLogRegModel.ipynb.html
  • 5. AssertionLogRegModel
  • 6.1 AssertionDLApproach.ipynb.html
  • 6. AssertionDL Model Inference

  • 6. Relation Extraction
  • 1.1 RelationExtractionModel.ipynb.html
  • 1. RelationExtractionModel
  • 2.1 RelationExtractionDLModel.ipynb.html
  • 2. RelationExtractionDLModel
  • 3.1 RelationExtractionApproach.ipynb.html
  • 3. RelationExtraction Model Inference Pt1
  • 4.1 RelationExtractionApproach.ipynb.html
  • 4. RelationExtraction Model Inference Pt2
  • 5.1 RENerChunksFilter.ipynb.html
  • 5. RENerChunksFilter
  • 6.1 ZeroShotRelationExtractionModel.ipynb.html
  • 6. ZeroShotRelationExtractionModel

  • 7. Text Classification
  • 1.1 FeaturesAssembler.ipynb.html
  • 1. FeaturesAssembler
  • 2.1 MedicalDistilBertForSequenceClassification.ipynb.html
  • 2. DistilBertForSequenceClassification
  • 3.1 MedicalBertForSequenceClassification.ipynb.html
  • 3. BertForSequenceClassification
  • 4.1 GenericClassifierApproach.ipynb.html
  • 4. GenericClassifier Model Inference
  • 5.1 GenericSVMClassifierModel.ipynb.html
  • 5. GenericSVMClassifierModel
  • 6.1 GenericLogRegClassifierApproach.ipynb.html
  • 6. GenericLogRegClassifier Model Inference
  • 7.1 GenericClassifierModel.ipynb.html
  • 7. GenericClassifierModel
  • 8.1 GenericSVMClassifierApproach.ipynb.html
  • 8. GenericSVMClassifier Model Inference
  • 9.1 DocumentMLClassifierApproach.ipynb.html
  • 9. DocumentMLClassifier Model Inference
  • 10.1 DocumentMLClassifierModel.ipynb.html
  • 10. DocumentMLClassifierModel
  • 11.1 Notebook.html
  • 11. FewShotClassifier
  • 12.1 Notebook.html
  • 12. WindowedSentenceModel
  • 13.1 Notebook.html
  • 13. DocumentLogRegClassifier
  • 14.1 Notebook.html
  • 14. DocumentFiltererByClassifier

  • 8. Entity Resolution for Medical Terminologies
  • 1.1 Resolution2Chunk.ipynb.html
  • 1. Resolution2Chunk
  • 2.1 ChunkMapperModel.ipynb.html
  • 2. ChunkMapperModel
  • 3.1 DocMapperModel.ipynb.html
  • 3. DocMapperModel
  • 4.1 DocMapperApproach.ipynb.html
  • 4. DocMapper Model Inference
  • 5.1 ChunkMapperApproach.ipynb.html
  • 5. ChunkMapper Model Inference Pt1
  • 6.1 ChunkMapperApproach.ipynb.html
  • 6. ChunkMapper Model Inference Pt2
  • 7.1 ChunkMapperFilterer.ipynb.html
  • 7. ChunkMapperFilterer
  • 8.1 Doc2ChunkInternal.ipynb.html
  • 8. Doc2Chunk
  • 9.1 Router.ipynb.html
  • 9. Router
  • 10.1 ResolverMerger.ipynb.html
  • 10. ResolverMerger
  • 11.1 SentenceEntityResolverModel.ipynb.html
  • 11. SentenceEntityResolverModel
  • 12.1 SentenceEntityResolverApproach.ipynb.html
  • 12. SentenceEntityResolver Model Inference

  • 9. De-identification and Obfuscate PHI Data
  • 1.1 ReIdentification.ipynb.html
  • 1. ReIdentification
  • 2.1 NameChunkObfuscatorApproach.ipynb.html
  • 2. NameChunkObfuscator Model Inference
  • 3.1 NameChunkObfuscator.ipynb.html
  • 3. NameChunkObfuscator
  • 4.1 DocumentHashCoder.ipynb.html
  • 4. DocumentHashCoder
  • 5.1 DeIdentification.ipynb.html
  • 5.2 DeIdentificationModel.ipynb.html
  • 5. DeIdentification DeIdentificationModel Pt1
  • 6.1 DeIdentification.ipynb.html
  • 6.2 DeIdentificationModel.ipynb.html
  • 6. DeIdentification DeIdentificationModel Pt2

  • 10. Text Summarization
  • 1.1 MedicalSummarizer.ipynb.html
  • 1. Summarizer
  • 2. ExtractiveSummarization

  • 11. QuestionAnswering
  • 1.1 Medical Question Answering.ipynb.html
  • 1. QuestionAnswering

  • 12. Text Generation
  • 1.1 MedicalTextGenerator.ipynb.html
  • 1. TextGenerator
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    تاریخ انتشار: ۲۰ تیر ۱۴۰۳
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