Spark NLP in Action

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Healthcare Data
NLP In Healthcare
Recognize entities in text
Recognize Persons, Locations, Organizations and Misc entities using out of the box pretrained Deep Learning models based on GloVe (glove_100d) and BERT (ner_dl_bert) word embeddings.
Healthcare AI Platform
Curated Health Datasets
Classify documents
Classify open-domain, fact-based questions into one of the following broad semantic categories: Abbreviation, Description, Entities, Human Beings, Locations or Numeric Values.
spelling
Frictionless Data Center
Spell check your text documents
Spark NLP contextual spellchecker allows the quick identification of typos or spell issues within any text document.
AI in medical research
AI in Healthcare
Detect emotions in tweets
Automatically identify Joy, Surprise, Fear, Sadness in Tweets using out pretrained Spark NLP DL classifier.
Free Health Datasets
Healthcare Datasets
Recognize entities in scanned PDFs
End-to-end example of regular NER pipeline: import scanned images from cloud storage, preprocess them for improving their quality, recognize text using Spark OCR, correct the spelling mistakes for improving OCR results and finally run NER for extracting entities.
Detect signs and symptoms
AI & NLP Awards
Detect signs and symptoms
Automatically identify Signs and Symptoms in clinical documents using two of our pretrained Spark NLP clinical models.
Detect temporal relations
Clinical events
Detect temporal relations for clinical events
Automatically identify three types of relations between clinical events: After, Before and Overlap using our pretrained clinical Relation Extraction (RE) model.
AI Platform As A Service
AI in medical research
De-identify PDF documents – HIPAA Compliance
De-identify PDF documents using HIPAA guidelines by masking PHI information using out of the box Spark NLP models.

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Spark NLP

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Spark OCR

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Healthcare

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