Automated Processing of Electronic Data for Disease Surveillance

simulation and design of electronic processing circuit for restaurants e-procurement system

the poor orientation of the restaurants toward the information technology has yet many unsolved issues in regards to the customers. one of these problems which lead the appeal list of later, and have a negative impact on the prestige of the restaurant is the case when the later does not respond on time to the customers’ needs, and which causes their dissatisfaction. this issue is really sensiti...

Automated Collection of Electronic Health Record Healthy Weight Data for Surveillance

Introduction Clinical data captured in electronic health records (EHR) for patient health care could be used for chronic disease surveillance, helping to inform and prioritize interventions at a state or community level. While there has been significant progress in the collection of clinical information such as immunizations for public health purposes, greater attention could be paid to the col...

Real-Time Automated Surveillance for Ventilator Associated Events Using Streaming Electronic Health Data

Distributed data processing for public health surveillance

BACKGROUND Many systems for routine public health surveillance rely on centralized collection of potentially identifiable, individual, identifiable personal health information (PHI) records. Although individual, identifiable patient records are essential for conditions for which there is mandated reporting, such as tuberculosis or sexually transmitted diseases, they are not routinely required f...

Automated detection of coronavirus disease (COVID-19) by using data-mining techniques: a brief report

Background: The clinical field has vast sick data that has not been analyzed. Discovering a way to analyze this raw data and turn it into an information treasure can save many lives. Using data mining methods is an efficient way to analyze this large amount of raw data. It can predict the future with accurate knowledge of the past, providing new insights into disease diagnosis and prevention. S...