scholarly journals Medical Big Data Analysis in Hospital Information System

Author(s):  
Jing-Song Li ◽  
Yi-Fan Zhang ◽  
Yu Tian
2021 ◽  
Vol 1748 ◽  
pp. 032025
Author(s):  
Jicheng Wang ◽  
Donghai Li ◽  
Zhao Wang ◽  
Taifeng Wan

Author(s):  
А.Н. Копайгородский ◽  
Т.Г. Мамедов

В статье рассмотрены методы построения интеллектуальной информационной системы для поддержки экспертных решений по стратегическому инновационному развитию энергетики. Обоснована необходимость применения методов анализа Больших данных (Big Data). Представлена архитектура интегрированного хранилища интеллектуальной информационной системы, основным компонентом которой является система онтологий, объединяющая данные и знания из различных источников. The article discusses methods of building an intelligent information system to support expert decisions on strategic innovative development of the energy sector. The necessity of using Big Data analysis methods has been substantiated. Architecture of an integrated repository of an intelligent information system is presented, in which the main component is a system of ontologies on the basis of which information, data and knowledge from various sources are combined.


2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Hui Ge ◽  
Debao Fan ◽  
Ming Wan ◽  
Lizhu Jin ◽  
Xiaofeng Wang ◽  
...  

Infectious diseases are a major health challenge for the worldwide population. Since their rapid spread can cause great distress to the real world, in addition to taking appropriate measures to curb the spread of infectious diseases in the event of an outbreak, proper prediction and early warning before the outbreak of the threat of infectious diseases can provide an important basis for early and reasonable response by the government health sector, reduce morbidity and mortality, and greatly reduce national losses. However, if only traditional medical data is involved, it may be too late or too difficult to implement prediction and early warning of an infectious outbreak. Recently, medical big data has become a research hotspot and has played an increasingly important role in public health, precision medicine, and disease prediction. In this paper, we focus on exploring a prediction and early warning method for influenza with the help of medical big data. It is well known that meteorological conditions have an influence on influenza outbreaks. So, we try to find a way to determine the early warning threshold value of influenza outbreaks through big data analysis concerning meteorological factors. Results show that, based on analysis of meteorological conditions combined with influenza outbreak history data, the early warning threshold of influenza outbreaks could be established with reasonable high accuracy.


2019 ◽  
Vol 7 (6) ◽  
pp. 47-51
Author(s):  
Neha Maurya ◽  
Anirudh Tripathi ◽  
Pankaj Pratap Singh ◽  
Amit Kishor

Sign in / Sign up

Export Citation Format

Share Document