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Predicting COVID-19 disease progression and patient outcomes based on temporal deep learning

期刊: BMC MEDICAL INFORMATICS AND DECISION MAKING, 2021; 21 (1)

Background The coronavirus disease 2019 (COVID-19) pandemic has caused health concerns worldwide since December 2019. From the beginning of infection,......

A data process of human knee joint kinematics obtained by motion-capture measurement

期刊: BMC MEDICAL INFORMATICS AND DECISION MAKING, 2021; 21 (1)

Background The motion capture has been used as the usual method for measuring movement parameters of human, and most of the measuring data are obtaine......

Efficient framework for predicting MiRNA-disease associations based on improved hybrid collaborative filtering

期刊: BMC MEDICAL INFORMATICS AND DECISION MAKING, 2021; 21 (SUPPL 1)

Background Accumulating studies indicates that microRNAs (miRNAs) play vital roles in the process of development and progression of many human complex......

Semantic categorization of Chinese eligibility criteria in clinical trials using machine learning methods

期刊: BMC MEDICAL INFORMATICS AND DECISION MAKING, 2021; 21 (1)

Background Semantic categorization analysis of clinical trials eligibility criteria based on natural language processing technology is crucial for the......

A particle swarm optimization improved BP neural network intelligent model for electrocardiogram classification

期刊: BMC MEDICAL INFORMATICS AND DECISION MAKING, 2021; 21 (SUPPL 2)

Background As proven to reflect the work state of heart and physiological situation objectively, electrocardiogram (ECG) is widely used in the assessm......

Application of openEHR archetypes to automate data quality rules for electronic health records: a case study

期刊: BMC MEDICAL INFORMATICS AND DECISION MAKING, 2021; 21 (1)

BackgroundEnsuring data is of appropriate quality is essential for the secondary use of electronic health records (EHRs) in research and clinical deci......

Richer fusion network for breast cancer classification based on multimodal data

期刊: BMC MEDICAL INFORMATICS AND DECISION MAKING, 2021; 21 (SUPPL 1)

Background: Deep learning algorithms significantly improve the accuracy of pathological image classification, but the accuracy of breast cancer classi......

Application of multi-label classification models for the diagnosis of diabetic complications

期刊: BMC MEDICAL INFORMATICS AND DECISION MAKING, 2021; 21 (1)

Background Early diagnosis for the diabetes complications is clinically demanding with great significancy. Regarding the complexity of diabetes compli......

A bibliometric analysis of global research output on network meta-analysis

期刊: BMC MEDICAL INFORMATICS AND DECISION MAKING, 2021; 21 (1)

Background Network meta-analysis (NMA) has been widely used in the field of medicine and health, but the research topics and development trends are st......

User knowledge factors that hinder the design of new home healthcare devices: investigating thirty-eight devices and their manufacturers

期刊: BMC MEDICAL INFORMATICS AND DECISION MAKING, 2021; 21 (1)

Background The demand for home healthcare devices arises; however, many home healthcare devices on the market are not designed to reflect the needs an......

Risk-adjusted zero-inflated Poisson CUSUM charts for monitoring influenza surveillance data

期刊: BMC MEDICAL INFORMATICS AND DECISION MAKING, 2021; 21 (SUPPL 2)

Background The influenza surveillance has been received much attention in public health area. For the cases with excessive zeroes, the zero-inflated P......

MiRNA-disease association prediction via hypergraph learning based on high-dimensionality features

期刊: BMC MEDICAL INFORMATICS AND DECISION MAKING, 2021; 21 (SUPPL 1)

Background MicroRNAs (miRNAs) have been confirmed to have close relationship with various human complex diseases. The identification of disease-relate......

Transformers-sklearn: a toolkit for medical language understanding with transformer-based models

期刊: BMC MEDICAL INFORMATICS AND DECISION MAKING, 2021; 21 (SUPPL 2)

Background Transformer is an attention-based architecture proven the state-of-the-art model in natural language processing (NLP). To reduce the diffic......

A non-linear ensemble model-based surgical risk calculator for mixed data from multiple surgical fields

期刊: BMC MEDICAL INFORMATICS AND DECISION MAKING, 2021; 21 (SUPPL 2)

Background: The misestimation of surgical risk is a serious threat to the lives of patients when implementing surgical risk calculator. Improving the ......

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