AIMC Topic: China

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Representation learning for clinical time series prediction tasks in electronic health records.

BMC medical informatics and decision making Dec 17, 2019
BACKGROUND: Electronic health records (EHRs) provide possibilities to improve patient care and facilitate clinical research. However, there are many challenges faced by the applications of EHRs, such as temporality, high dimensionality, sparseness, n...
Humans China Heart Failure Mortality Forecasting Electronic Health Records Comorbidity Neural Networks, Computer Machine Learning Algorithms
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Effective allocation of resources in water pollution treatment alternatives: a multi-stage gray group decision-making method based on hesitant fuzzy linguistic term sets.

Environmental science and pollution research international Dec 14, 2019
With the significant economic shift, water pollution treatment has gradually become a key problem which needs to be deeply investigated for the sustainable development of China. In the face of specific water pollution incidents, multiple alternatives...
Decision Making Environmental Restoration and Remediation China Fuzzy Logic Water Pollution Linguistics Resource Allocation
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Analysis of disease comorbidity patterns in a large-scale China population.

BMC medical genomics Dec 12, 2019
BACKGROUND: Disease comorbidity is popular and has significant indications for disease progress and management. We aim to detect the general disease comorbidity patterns in Chinese populations using a large-scale clinical data set.
Models, Theoretical Hypertension Data Mining Mental Disorders Humans Prognosis Machine Learning Comorbidity Algorithms China Genetic Predisposition to Disease Genetic Association Studies
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Using machine learning models to improve stroke risk level classification methods of China national stroke screening.

BMC medical informatics and decision making Dec 10, 2019
BACKGROUND: With the character of high incidence, high prevalence and high mortality, stroke has brought a heavy burden to families and society in China. In 2009, the Ministry of Health of China launched the China national stroke screening and interv...
Humans Neural Networks, Computer Machine Learning Risk Assessment China Incidence Logistic Models Algorithms Decision Support Techniques Adult Mass Screening Decision Trees Stroke
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Representation learning in intraoperative vital signs for heart failure risk prediction.

BMC medical informatics and decision making Dec 9, 2019
BACKGROUND: The probability of heart failure during the perioperative period is 2% on average and it is as high as 17% when accompanied by cardiovascular diseases in China. It has been the most significant cause of postoperative death of patients. Ho...
Risk Vital Signs Intraoperative Complications Sensitivity and Specificity Humans Area Under Curve Monitoring, Intraoperative Neural Networks, Computer Risk Assessment Decision Trees Heart Failure Machine Learning China
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An attention-based deep learning model for clinical named entity recognition of Chinese electronic medical records.

BMC medical informatics and decision making Dec 5, 2019
BACKGROUND: Clinical named entity recognition (CNER) is important for medical information mining and establishment of high-quality knowledge map. Due to the different text features from natural language and a large number of professional and uncommon...
Humans Neural Networks, Computer Electronic Health Records Natural Language Processing Data Mining Attention Language Semantics Deep Learning China
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Attention-based recurrent neural network for influenza epidemic prediction.

BMC bioinformatics Nov 25, 2019
BACKGROUND: Influenza is an infectious respiratory disease that can cause serious public health hazard. Due to its huge threat to the society, precise real-time forecasting of influenza outbreaks is of great value to our public.
Influenza, Human Public Health Disease Outbreaks China Humans Neural Networks, Computer Forecasting
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Implementing machine learning in bipolar diagnosis in China.

Translational psychiatry Nov 18, 2019
Bipolar disorder (BPD) is often confused with major depression, and current diagnostic questionnaires are subjective and time intensive. The aim of this study was to develop a new Bipolar Diagnosis Checklist in Chinese (BDCC) by using machine learnin...
ROC Curve Regression Analysis Diagnostic and Statistical Manual of Mental Disorders Surveys and Questionnaires Adolescent Humans Bipolar Disorder Machine Learning Retrospective Studies Adult Female Middle Aged Male Aged China Young Adult
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Using machine learning approaches to predict high-cost chronic obstructive pulmonary disease patients in China.

Health informatics journal Nov 11, 2019
The accurate identification and prediction of high-cost Chronic obstructive pulmonary disease (COPD) patients is important for addressing the economic burden of COPD. The objectives of this study were to use machine learning approaches to identify an...
Humans Machine Learning Pulmonary Disease, Chronic Obstructive Logistic Models China ROC Curve
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Self-attention based recurrent convolutional neural network for disease prediction using healthcare data.

Computer methods and programs in biomedicine Nov 11, 2019
BACKGROUND AND OBJECTIVE: Nowadays computer-aided disease diagnosis from medical data through deep learning methods has become a wide area of research. Existing works of analyzing clinical text data in the medical domain, which substantiate useful in...
Cerebral Infarction Early Diagnosis Semantics Neural Networks, Computer Diagnosis, Computer-Assisted Algorithms Deep Learning China
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