Background: Electronic health records (EHRs) are important data resources for clinical studies and applications. Physicians or clinicians describe patients' disorders or treatment procedures in EHRs using free tex...
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Background: Electronic health records (EHRs) are important data resources for clinical studies and applications. Physicians or clinicians describe patients' disorders or treatment procedures in EHRs using free text (unstructured) clinical notes. The narrative information plays an important role in patient treatment and clinical research. However, it is challenging to make machines understand the clinical narratives. Objective: This study aimed to automatically identify Chinese clinical entities from free text in EHRs and make machines semantically understand diagnoses, tests, body parts, symptoms, treatments, and so on. Methods: The dataset we used for this study is the benchmark dataset with human annotated Chinese EHRs, released by the China Conference on Knowledge Graph and Semantic Computing 2017 clinical named entity recognition challenge task. Overall, 2 machine learning models, the conditional random fields (CRF) method and bidirectional long short-term memory (LSTM)-CRF, were applied to recognize clinical entities from Chinese EHR data. To train the CRF-based model, we selected features such as bag of Chinese characters, part-of-speech tags, character types, and the position of characters. For the bidirectional LSTM-CRF-based model, character embeddings and segmentation information were used as features. In addition, we also employed a dictionary-based approach as the baseline for the purpose of performance evaluation. Precision, recall, and the harmonic average of precision and recall (F1 score) were used to evaluate the performance of the methods. Results: Experiments on the test set showed that our methods were able to automatically identify types of Chinese clinical entities such as diagnosis, test, symptom, body part, and treatment simultaneously. With regard to overall performance, CRF and bidirectional LSTM-CRF achieved a precision of 0.9203 and 0.9112, recall of 0.8709 and 0.8974, and F1 score of 0.8949 and 0.9043, respectively. The results also indi
Post-operative infections in orthopaedic implants are severe complications that require urgent solutions. Owing to the presence of implants and the formation of bacterial biofilms, the efficacy of antibiotics is limit...
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Provided are a series of BTK inhibitors, and specifically disclosed are a compound, pharmaceutically acceptable salt thereof, tautomer thereof or prodrug thereof represented by formula (I), (II), (III) or (IV).
标准号:
EP3246317(A4)
Provided are a series of BTK inhibitors, and specifically disclosed are a compound, pharmaceutically acceptable salt thereof, tautomer thereof or prodrug thereof represented by formula (I), (II), (III) or (IV).
Mass mortality in cultured common carp from a farm of Ganyu county, Jiangsu province, P. R. China was reported. The two dominated isolates named L1 and L2 from diseased common carps were confirmed as non-O1 Vibrio cho...
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Mass mortality in cultured common carp from a farm of Ganyu county, Jiangsu province, P. R. China was reported. The two dominated isolates named L1 and L2 from diseased common carps were confirmed as non-O1 Vibrio cholerae by biochemical characteristics and molecular tools. Virulence genes (ompW, hlyA, acfA, toxR, ace and rtxC genes) were found to be present in the isolates by PCR, which further confirmed pathogenicity of the isolates. The LD50 value of the isolate L1 to the common carp was 1.1 x 10(6) CFU/mL. In addition, the specific egg yolk powder (IgY) conferred significant protection of common carp against non-O1 V. cholerae. The specific IgY also exhibited significant bacteriolytic effects on the non-O1 V. cholerae pathogen. The results showed that the specific IgY should be an effective implemented feed additive for the biocontrol of non-O1 V. cholerae infection in aquaculture.
Recently, heat treatment between 250 °C and 500 °C has been attempted to improve quality factor (Q) of superconducting radio-frequency cavities at FNAL and KEK. Experiments of such medium temperature (mid-T)...
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