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Proven Customer Success

Roche automates knowledge extraction from pathology reports

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Lessons Learned De-Identifying 700 Million Patient Notes with Spark NLP

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NLP for Finance – Automated Invoice Classification for Submission Compliance

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A Real-time NLP-based Clinical Decision Support Platform for Psychiatry and Oncology

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Identifying opioid-related adverse events from unstructured text in electronic health records

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Automated Classification and Entity Extraction from essential documents pertaining to Clinical Trials

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Therapy Specific Outcomes – Rheumatology Insights using NLP

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Building an Integrated Data Approach to Pharma Medical Affairs

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Artificial Intelligence for Pharmacovigilance Processing

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John Snow Labs’ Spark NLP for Healthcare Library Speeds Up Automated Language Processing with Intel® AI Technologies

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Understand Patient Experience Journey to Improve Pharma Value Chain

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Building Reproducible Evaluation Processes for Spark NLP Models

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Building Patient Cohorts with NLP and Knowledge Graphs

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Vakilsearch Understands Scanned Legal & Tax Forms Using John Snow Labs

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Detecting Undiagnosed Conditions and Automating Medicare Risk Adjustment

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A unified CV, OCR, and NLP approach for scalable document understanding at DocuSign

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Adverse Drug Event Detection Using Spark NLP

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Spark NLP in action: improving patient flow forecasting

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Databricks Introduces Partner Connect with Seamless John Snow Labs Integration

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Automated Patient Risk Adjustment and Medicare HCC Coding from Clinical Notes

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Using Spark NLP in R: a Drug Standardization Case Study

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SelectData interprets millions of patient stories with deep learned OCR and NLP

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Spark NLP in action: intelligent, high-accuracy fact extraction from long financial documents

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Using Spark NLP to De-Identify Doctor Notes in the German Language

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Identifying Housing Insecurity and Other Social Determinants of Health from Free-Text Notes

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Accelerating clinical risk adjustment through Natural Language Processing

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Deep6 accelerates clinical trial recruitment with Spark NLP

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Text Classification into a Hierarchical Market Taxonomy using Spark NLP at Bitvore

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ESG Document Classification

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Applying advanced analytics to help improve mental health among HIV positive adolescents in South Africa

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SelectData uses AI to better understand home health patients

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Burden Reduction: Using Spark NLP to provide assistive intelligence in documenting evidence-based guidelines

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Best Practices in Improving NLP Accuracy for Clinical Entity Recognition & Resolution

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Using Spark NLP to Enable Real-World Evidence (RWE) and Clinical Decision Support in Oncology

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Using Spark NLP to build a drug discovery knowledge graph for COVID-19

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Automating a Streaming Pipeline with OCR on Databricks Lakehouse

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Beyond Context: Answering Deeper Questions by Combining Spark NLP and Graph Database Analytics

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Abstracting Real World Data from Oncology Notes

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Benefits and Challenges in de-identifying and linking unstructured medical records

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Predictive Maintenance by Intelligent Mining of Manufacturing Incidents Using Spark NLP

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Accelerating Biomedical Innovation by Combining NLP and Knowledge Graphs

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Automated question answering about clinical guidelines

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Applying State-of-the-art Natural Language Processing for Personalized Healthcare

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Extracting what, when, why, and how from Radiology Reports in Real World Data acquisition projects

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Using NLP to Improve Radiologist Productivity & Reduce Burnout

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Building a Better Patient Chart: Combining structured, unstructured, and missing data

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Automated Detection of Environmental, Social, and Governance Issues in Financial Documents

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Automated and Explainable Deep Learning for Clinical Language Understanding at Roche

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Automating PHI Removal from Healthcare Data With Natural Language Processing

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Improving Drug Safety With Adverse Event Detection Using NLP

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Building, Analyzing and Querying Biomedical Knowledge Graphs using Graphster

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Deep Learning for Relation Extraction from Clinical Documents

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