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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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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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I am very appreciative of all the hard work put into this project. The staff went above and beyond my expectations and were accommodating. The staff also was very attentive and thought “outside the box”. Overall, I am very satisfied and will gladly work with the staff in the near future again.
Johnson & Johnson
Kaiser Permanente uses Spark NLP to integrate domain-specific NLP as part of a scalable, performant, measurable, and reproducible ML pipeline and improve the accuracy of forecasting the demand for hospital beds.
Executive Director, Analytics Foundation at Kaiser Permanente
John Snow Labs delivered a whole new revenue stream for Usermind within three months.
VP Product, Usermind