| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | journals/biomedsem/NeveolDVSZ18 |
| P6179 | Dimensions Publication ID | 1101839209 |
| P356 | DOI | 10.1186/S13326-018-0179-8 |
| P932 | PMC publication ID | 5877394 |
| P698 | PubMed publication ID | 29602312 |
| P50 | author | Pierre Zweigenbaum | Q55231014 |
| Aurélie Névéol | Q65785882 | ||
| P2093 | author name string | Guergana Savova | |
| Hercules Dalianis | |||
| Sumithra Velupillai | |||
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| Leveraging informatics for genetic studies: use of the electronic medical record to enable a genome-wide association study of peripheral arterial disease | Q34371896 | ||
| An overview of MetaMap: historical perspective and recent advances | Q34372056 | ||
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| A twofold strategy for translating a medical terminology into French | Q34583688 | ||
| The open biomedical annotator | Q34585143 | ||
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| Evaluating the state-of-the-art in automatic de-identification | Q35989263 | ||
| Portability of an algorithm to identify rheumatoid arthritis in electronic health records. | Q36085131 | ||
| Clinical Natural Language Processing in 2014: Foundational Methods Supporting Efficient Healthcare | Q36103572 | ||
| The power and limits of a rule-based morpho-semantic parser | Q36442716 | ||
| Finding Cervical Cancer Symptoms in Swedish Clinical Text using a Machine Learning Approach and NegEx | Q36613218 | ||
| Breast cancer: patient information needs reflected in English and German web sites | Q36696079 | ||
| Improving case definition of Crohn's disease and ulcerative colitis in electronic medical records using natural language processing: a novel informatics approach | Q36881504 | ||
| Analyzing differences between chinese and english clinical text: a cross-institution comparison of discharge summaries in two languages | Q37119272 | ||
| A multilingual gold-standard corpus for biomedical concept recognition: the Mantra GSC. | Q37179379 | ||
| Utilizing Chinese Admission Records for MACE Prediction of Acute Coronary Syndrome. | Q37283864 | ||
| BabelMeSH and PICO Linguist in Arabic. | Q37322292 | ||
| Normalization and standardization of electronic health records for high-throughput phenotyping: the SHARPn consortium | Q37389462 | ||
| Translating medical terminologies through word alignment in parallel text corpora | Q37411772 | ||
| Extending the NegEx lexicon for multiple languages | Q37582860 | ||
| Speculation detection for Chinese clinical notes: Impacts of word segmentation and embedding models | Q37615388 | ||
| Joint segmentation and named entity recognition using dual decomposition in Chinese discharge summaries | Q37642927 | ||
| De-identifying Swedish clinical text - refinement of a gold standard and experiments with Conditional random fields | Q38372008 | ||
| Testing tactics to localize de-identification | Q38378973 | ||
| Clinical Natural Language Processing in 2015: Leveraging the Variety of Texts of Clinical Interest | Q38384891 | ||
| Morphosemantic parsing of medical compound words: transferring a French analyzer to English | Q38387000 | ||
| Extraction of UMLS® Concepts Using Apache cTAKES™ for German Language | Q38393028 | ||
| A De-identification method for bilingual clinical texts of various note types. | Q38418332 | ||
| Developing tools and resources for the biomedical domain of the Greek language. | Q38422542 | ||
| MEDSYNDIKATE--a natural language system for the extraction of medical information from findings reports | Q38431258 | ||
| Cue-based assertion classification for Swedish clinical text--developing a lexicon for pyConTextSwe. | Q38435751 | ||
| Automatic prediction of rheumatoid arthritis disease activity from the electronic medical records | Q38445673 | ||
| Towards a bilingual Alzheimer's disease terminology acquisition using a parallel corpus. | Q38466509 | ||
| Negation detection in Swedish clinical text: An adaption of NegEx to Swedish | Q38482961 | ||
| Performance analysis of a POS tagger applied to discharge summaries in Portuguese | Q38499940 | ||
| Natural Language Processing Based Instrument for Classification of Free Text Medical Records | Q38817717 | ||
| Artificial intelligence (AI) systems for interpreting complex medical datasets. | Q38969916 | ||
| Secondary use of electronic health records for building cohort studies through top-down information extraction | Q39089483 | ||
| Adaptation of machine translation for multilingual information retrieval in the medical domain. | Q39220285 | ||
| Use of emergency department electronic medical records for automated epidemiological surveillance of suicide attempts: a French pilot study. | Q39383618 | ||
| Unraveling the linguistic nature of specific autobiographical memories using a computerized classification algorithm. | Q39659027 | ||
| Contextualization in automatic extraction of drugs from hospital patient records | Q39710528 | ||
| Unsupervised entity and relation extraction from clinical records in Italian. | Q40017954 | ||
| On the creation of a clinical gold standard corpus in Spanish: Mining adverse drug reactions | Q40769756 | ||
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| Shallow medication extraction from hospital patient records | Q43911398 | ||
| Automatic recognition of disorders, findings, pharmaceuticals and body structures from clinical text: an annotation and machine learning study | Q44356557 | ||
| De-identification of clinical notes in French: towards a protocol for reference corpus development | Q44892333 | ||
| Predicting patient acuity from electronic patient records | Q45757247 | ||
| Proposal and evaluation of FASDIM, a Fast And Simple De-Identification Method for unstructured free-text clinical records. | Q45958042 | ||
| An easily implemented method for abbreviation expansion for the medical domain in Japanese text. A preliminary study | Q46211611 | ||
| An enhanced CRFs-based system for information extraction from radiology reports. | Q46883019 | ||
| Clinical Information Extraction at the CLEF eHealth Evaluation lab 2016. | Q47121671 | ||
| Can multilingual machine translation help make medical record content more comprehensible to patients? | Q47414606 | ||
| Medical language processing applied to extract clinical information from Dutch medical documents | Q49170505 | ||
| Sharing models and tools for processing German clinical texts | Q50586232 | ||
| Identifying and extracting patient smoking status information from clinical narrative texts in Spanish | Q50982193 | ||
| P433 | issue | 1 | |
| P921 | main subject | natural language processing | Q30642 |
| P304 | page(s) | 12 | |
| P577 | publication date | 2018-03-30 | |
| P1433 | published in | Journal of Biomedical Semantics | Q6294854 |
| P1476 | title | Clinical Natural Language Processing in languages other than English: opportunities and challenges | |
| P478 | volume | 9 |
| Q92145175 | Building a Semantic Health Data Warehouse in the Context of Clinical Trials: Development and Usability Study |
| Q89949703 | Comparing Different Methods for Named Entity Recognition in Portuguese Neurology Text |
| Q92182132 | Recent advances in Swedish and Spanish medical entity recognition in clinical texts using deep neural approaches |
| Q58605223 | SIFR annotator: ontology-based semantic annotation of French biomedical text and clinical notes |
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