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  Early Warning Score for Obstetrics (EWSO) for obstetricians and neonatologists to monitor health status
           of maternal-fetal during antenatal phase
           In the early days, all EWS systems evolved from the recording of the related patients’ vital signs on paper
        chart  which  is  cumbersome.  Many  efforts  have  been  made  to  transform  EWS  into  electronic  systems  or
        computerized ones for ease of data handling and retrieval.  Over the years, there have been quite a number of
        electronic calculators of EWS available in the market. One of such systems is MDCalc, which is a free online
        medical  reference  for  healthcare  professionals  that  provides  point-of-care  clinical  decision-support  tools,
        including medical calculators, scoring systems, and algorithms. This MDCalc is also available in mobile and
        web applications. Nevertheless, the back-end data for MDCalc is not easily accessible for users who want to
        have a full access to the recorded data.
           As such there is a need for developing a custom-made EWS system such that the system not only can serve
        as the EWS calculator, but also as a data logger system especially for researcher. A custom-made system can be
        designed tailored to the specific objectives as stipulated by the researcher. This paper describes the development
        of a EWS system that follows the specification of MEWS with additional input data of diastolic blood pressure.
        The EWS system also provides a learning platform for the programmer to implement web applications system
        development.

        2. Methodology

        2.1. EWS System Design

           A flow chart is a diagram that explain the flow of activities that is carried in a system. Fig. 1 shows the flow
        chart for the Caretaker in handling the embedded EWS calculator and data logger for patient’s vital signs
        monitoring.






























         Fig. 1 Flow chart for handling the EWS system






        E- Proceedings of The 5th International Multi-Conference on Artificial Intelligence Technology (MCAIT 2021)   [25]
        Artificial Intelligence in the 4th Industrial Revolution
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