🏥 Medical Text Mining and Information Extraction with spaCy
Dataset for Natural Language Processing using a corpus of medical transcriptions and custom-generated clinical stop words and vocabulary.
第五届中国健康信息处理会议（CHIP2019）- 评测三：临床试验筛选标准短文本分类
Extracting Patients' information from clinical notes and export them to an OMOP CDM database.
Instructions and code to create for a table of UMLS, SNOMED or HPO concepts containing Dutch medical names, usable in named entity recognition and linking methods such MedCAT.
AI application that can classify medical text according to the category of the ailment being described.
DrNote is an open tagging tool for text annotation and entity linking based on OpenTapioca and WIkiData/Wikipedia. It provides an entity linking service with pre-trained data for medical annotations in multilingual settings. The processing of raw text as well as PDF by a tesseract backend is supported.
Negation detection in Dutch clinical text.
A medical transcription keywords extractor. Extract the possible keyworde from the doctor's medical transcript.
A pipeline for detecting and validating adverse drug events by combining n2c2 clinical notes with SIDER drug–side effect data. Includes NLP-based entity and relation extraction, terminology normalization, cross-dataset linking, filtering, and evaluation tools for research in pharmacovigilance and clinical text mining.
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