Titlebook: Health Information Science; 7th International Co Siuly Siuly,Ickjai Lee,Wei Xiang Conference proceedings 2018 Springer Nature Switzerland A

等待

Decision Making for Traditional Chinese Medicine Based on Fuzzy Cognitive Mapans are inseparable in terms of mutual coordination as well as the physiological and pathological influences among one another. It is believed in TCM that the human body is also integrated with the living environment through causal relationships. Similar to the basic rationale of TCM, Fuzzy Cognitiv

Fillet,Filet

Accelerometer-Based Physical Activity Patterns and Correlates of Depressive Symptoms, few studies evaluate the association between physical activity and depression in a population sample by using minute by minute data over one week from accelerometer. The purpose of this study is to explore the different physical activity patterns and the relationships between these patterns and de

头脑冷静

消毒

Extreme Learning Machine Based Diagnosis Models for Erythemato-Squamous Diseasesopt the traditional ELM (extreme learning machine), EM-ELM (the error minimum extreme learning machine) and K-ELM (kernel extreme learning machine), respectively, to evaluate the power of the detected feature subset. The improved F-score and SFS (sequential forward search) strategy are combined to d

有发明天才

Sentiment Classification with Medical Word Embeddings and Sequence Representation for Drug Reviewsing insights into patient health conditions and generating additional information for health professionals to provide more supportive treatments. However, approaches implemented in previous studies indicate inadequacy in discovering insights into review details and implicit emotional information due

预兆好

戏法

An Automated Approach for Clinical Quantitative Information Extraction from Chinese Electronic Medicacteristics in clinical notes. This study proposes an automated approach for extracting quantitative information from Chinese free-text EMR data including admission records, progress notes and ward-inspection records. The approach leverages pattern-learning combining with rule-based strategy to iden

INCH

A New Way of Channel Selection in the Motor Imagery Classification for BCI Applications in the study of brain science. As EEG contains multi-channel EEG recordings with huge amount of data, it is sometimes very challenging to extract more representative information from original EEG data for efficient classification of motor imagery (MI) tasks. Thus, it is necessary to diminish the re

neolith

Protein

Text Mining and Real-Time Analytics of Twitter Data: A Case Study of Australian Hay Fever Predictionledge discovery with applications in healthcare, politics, social initiatives, to name a few. Despite the evident benefits of tweets exploration, there are numerous challenges associated with processing such data, given tweets specific characteristics. The study provides a brief of steps involved in