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Extracting Electronic Health Record (EHR) Data Using Transfer Learning

January 9, 2023 Corey Fournier, Senior Data Engineer 1 Comment

by Corey Fourier, Senior Data Engineer At ThinkGenetic, Inc. our goal is to reduce the time to diagnosis for genetic and rare conditions. Given they are rare, we must be… CONTINUE

Filed Under: Research, Tech Tagged With: algorithms, BERT model, clinical note, EHR, electronic health records, genetic conditino, genetic condition, Google, ICD-10, Medical Coding, medical record, misdiagnosed, Name Entity Recognition, Natural Language Processing, NLP, Procedures codes, Rare Disease, rare genetic disease, Relation Extraction, Semantic Role labeling, Shi and Lin, Snomed, structured data, T5, Text-to-text Transfer Transformers, undiagnosed, unstructured data

Application of Natural Language Processing in Clinical Applications

October 14, 2021 Sarika Kondra Leave a Comment

Figure 3: Drug-Dosage-Frequency-Channel relations of using SparkNLP Healthcare model.

Natural Language Processing is a field of computational linguistics, computer science and more specially artificial intelligence (AI) that uses statistics, machine learning (ML) and deep learning (DL) techniques to understand… CONTINUE

Filed Under: Tech Tagged With: AI, artificial intelligence, big data, data, De-identification of records, dependency parsing, lemmatization, Named Entity Recognition, Natural Language Processing, Negation Detection, NLP, part-of-speech, Part-of-Speech Tagging, POS Tagging, Relation Extraction, Sarika Kondra, Sentence Tokenization, stemming, Stemming and Lemmatization, tokenization, unstructured data, Word Tokenization

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