Resultados de búsqueda - Conditional random fields

Machine assistance in collection building: new tools, research, issues, and reflections. por Mitchell S

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Named entity recognition from Chinese adverse drug event reports with lexical feature based BiLSTM-CRF and tri-training. por Chen, Yao, Zhou, Changjiang, Li, Tianxin, Wu, Hong, Zhao, Xia, Ye, Kai, Liao, Jun

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A fine-grained Chinese word segmentation and part-of-speech tagging corpus for clinical text. por Xiong, Ying, Wang, Zhongmin, Jiang, Dehuan, Wang, Xiaolong, Chen, Qingcai, Xu, Hua, Yan, Jun, Tang, Buzhou

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A deep learning model incorporating part of speech and self-matching attention for named entity recognition of Chinese electronic medical records. por Cai, Xiaoling, Dong, Shoubin, Hu, Jinlong

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An approach for medical event detection in Chinese clinical notes of electronic health records. por Zhou, Xuesi, Xiong, Haoqi, Zeng, Sihan, Fu, Xiangling, Wu, Ji

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Entity recognition in Chinese clinical text using attention-based CNN-LSTM-CRF. por Tang, Buzhou, Wang, Xiaolong, Yan, Jun, Chen, Qingcai

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User activity recognition system to improve the performance of environmental control interfaces: a pilot study with patients. por Bertomeu-Motos, Arturo, Ezquerro, Santiago, Barios, Juan A., Lledó, Luis D., Domingo, Sergio, Nann, Marius, Martin, Suzanne, Soekadar, Surjo R., Garcia-Aracil, Nicolas

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Breast Cancer Segmentation Methods: Current Status and Future Potentials. por Michael, Epimack, Ma, He, Li, Hong, Kulwa, Frank, Li, Jing

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A State-of-the-Art Review for Gastric Histopathology Image Analysis Approaches and Future Development. por Ai, Shiliang, Li, Chen, Li, Xiaoyan, Jiang, Tao, Grzegorzek, Marcin, Sun, Changhao, Rahaman, Md Mamunur, Zhang, Jinghua, Yao, Yudong, Li, Hong

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Recent Advances in Predicting Protein S-Nitrosylation Sites. por Zhao, Qian, Ma, Jiaqi, Xie, Fang, Wang, Yu, Zhang, Yu, Li, Hui, Sun, Yuan, Wang, Liqi, Guo, Mian, Han, Ke

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MR Image-Based Attenuation Correction of Brain PET Imaging: Review of Literature on Machine Learning Approaches for Segmentation. por Mecheter, Imene, Alic, Lejla, Abbod, Maysam, Amira, Abbes, Ji, Jim

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Extracting psychiatric stressors for suicide from social media using deep learning. por Du, Jingcheng, Zhang, Yaoyun, Luo, Jianhong, Jia, Yuxi, Wei, Qiang, Tao, Cui, Xu, Hua

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Guest editorial. Quality of Life Technology: intelligent systems for better living. por Smailagic A

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Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges. por Hesamian, Mohammad Hesam, Jia, Wenjing, He, Xiangjian, Kennedy, Paul

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CRFs based de-identification of medical records. por He, Bin, Guan, Yi, Cheng, Jianyi, Cen, Keting, Hua, Wenlan

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Automated systems for the de-identification of longitudinal clinical narratives: Overview of 2014 i2b2/UTHealth shared task Track 1. por Stubbs, Amber, Kotfila, Christopher, Uzuner, Özlem

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Capturing patient information at nursing shift changes: methodological evaluation of speech recognition and information extraction. por Suominen, Hanna, Johnson, Maree, Zhou, Liyuan, Sanchez, Paula, Sirel, Raul, Basilakis, Jim, Hanlen, Leif, Estival, Dominique, Dawson, Linda, Kelly, Barbara

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Using text mining techniques to extract phenotypic information from the PhenoCHF corpus. por Alnazzawi, Noha, Thompson, Paul, Batista-Navarro, Riza, Ananiadou, Sophia

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Multiscale Region-Level VHR Image Change Detection via Sparse Change Descriptor and Robust Discriminative Dictionary Learning. por Xu, Yuan, Ding, Kun, Huo, Chunlei, Zhong, Zisha, Li, Haichang, Pan, Chunhong

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Anatomy packing with hierarchical segments: an algorithm for segmentation of pulmonary nodules in CT images. por Tsou, Chi-Hsuan, Lor, Kuo-Lung, Chang, Yeun-Chung, Chen, Chung-Ming

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