AIMC Topic: Humans

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A CNN-Based Method for Intent Recognition Using Inertial Measurement Units and Intelligent Lower Limb Prosthesis.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 9, 2019
Powered intelligent lower limb prosthesis can actuate the knee and ankle joints, allowing transfemoral amputees to perform seamless transitions between locomotion states with the help of an intent recognition system. However, prior intent recognition...
Amputees Walking Artificial Limbs Prosthesis Design Humans Intention Neural Networks, Computer Biomechanical Phenomena Calibration Machine Learning Male Algorithms Electromyography Locomotion Adult Recognition, Psychology
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Influence of New Technologies on Post-Stroke Rehabilitation: A Comparison of Armeo Spring to the Kinect System.

Medicina (Kaunas, Lithuania) Apr 9, 2019
BACKGROUND: New technologies to improve post-stroke rehabilitation outcomes are of great interest and have a positive impact on functional, motor, and cognitive recovery. Identifying the most effective rehabilitation intervention is a recognized prio...
Attention Stroke Rehabilitation Middle Aged Range of Motion, Articular Spatial Navigation Memory Anxiety Humans Analysis of Variance Aged Virtual Reality Exposure Therapy Robotics Cognition Prospective Studies Treatment Outcome Biomechanical Phenomena Upper Extremity Double-Blind Method Female Hand Strength Male Exercise Therapy Recovery of Function
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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.

BMC medical informatics and decision making Apr 9, 2019
BACKGROUND: The Named Entity Recognition (NER) task as a key step in the extraction of health information, has encountered many challenges in Chinese Electronic Medical Records (EMRs). Firstly, the casual use of Chinese abbreviations and doctors' per...
Speech China Natural Language Processing Attention Humans Information Storage and Retrieval Electronic Health Records Language Deep Learning
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Applying deep matching networks to Chinese medical question answering: a study and a dataset.

BMC medical informatics and decision making Apr 9, 2019
BACKGROUND: Medical and clinical question answering (QA) is highly concerned by researchers recently. Though there are remarkable advances in this field, the development in Chinese medical domain is relatively backward. It can be attributed to the di...
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Semantics Health Information Exchange Algorithms Humans China Neural Networks, Computer Datasets as Topic
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Incorporating causal factors into reinforcement learning for dynamic treatment regimes in HIV.

BMC medical informatics and decision making Apr 9, 2019
BACKGROUND: Reinforcement learning (RL) provides a promising technique to solve complex sequential decision making problems in health care domains. However, existing studies simply apply naive RL algorithms in discovering optimal treatment strategies...
Machine Learning Algorithms Clinical Decision-Making HIV Infections Reinforcement, Psychology Clinical Protocols Humans
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A fine-grained Chinese word segmentation and part-of-speech tagging corpus for clinical text.

BMC medical informatics and decision making Apr 9, 2019
BACKGROUND: Chinese word segmentation (CWS) and part-of-speech (POS) tagging are two fundamental tasks of Chinese text processing. They are usually preliminary steps for lots of Chinese natural language processing (NLP) tasks. There have been a large...
China Natural Language Processing Information Storage and Retrieval Humans Electronic Health Records Speech
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Relation path feature embedding based convolutional neural network method for drug discovery.

BMC medical informatics and decision making Apr 9, 2019
BACKGROUND: Drug development is an expensive and time-consuming process. Literature-based discovery has played a critical role in drug development and may be a supplementary method to help scientists speed up the discovery of drugs.
Research Design Drug Discovery Knowledge Bases Humans Neural Networks, Computer Algorithms
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A hybrid approach for named entity recognition in Chinese electronic medical record.

BMC medical informatics and decision making Apr 9, 2019
BACKGROUND: With the rapid spread of electronic medical records and the arrival of medical big data era, the application of natural language processing technology in biomedicine has become a hot research topic.
Humans China Natural Language Processing Information Storage and Retrieval Algorithms Electronic Health Records Language
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Inverse reinforcement learning for intelligent mechanical ventilation and sedative dosing in intensive care units.

BMC medical informatics and decision making Apr 9, 2019
BACKGROUND: Reinforcement learning (RL) provides a promising technique to solve complex sequential decision making problems in health care domains. To ensure such applications, an explicit reward function encoding domain knowledge should be specified...
Clinical Protocols Critical Care Markov Chains Reinforcement, Psychology Humans Machine Learning Retrospective Studies Hypnotics and Sedatives Bayes Theorem Clinical Decision-Making Respiration, Artificial
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Evidential MACE prediction of acute coronary syndrome using electronic health records.

BMC medical informatics and decision making Apr 9, 2019
BACKGROUND: Major adverse cardiac event (MACE) prediction plays a key role in providing efficient and effective treatment strategies for patients with acute coronary syndrome (ACS) during their hospitalizations. Existing prediction models have limita...
Humans Machine Learning Risk Assessment Logistic Models Predictive Value of Tests Acute Coronary Syndrome Prognosis Electronic Health Records Hospitalization
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