People often deal with health problems and illnesses in their lives. One of the deadly
infectious diseases is Tuberculosis. The high number of cases compared to the reduction …

This work studied the comparison of LSTM, Con-vLSTM and CNN-LSTM model, that was
applied for time series forecasting. We created the LSTM, CNN-LSTM, ConvLSTM model …

This paper highlights the significance of systematic literature reviews and explores the
different techniques employed in these reviews, including statistical methods, machine …

This paper highlights the significance of systematic literature reviews and explores the
different techniques employed in these reviews, including statistical methods, machine …

In managing medicine inventory in hospitals, an accurate forecast is essential for planning
and optimizing down-stream operations. This study aims to investigate the forecast …

There has been a lot of interest in time series forecasting in recent years. Deep neural
networks have shown their effectiveness and accuracy in various industries. It is currently …

The medical services are very important requirement for being healthy human. In order to
ensure the availability of resources for the medicine needed, the most hospital makes an …

Medicine plays important role for patient's treatment and disease prevention in case of
pandemic situations. A healthcare institutions such as pharmacies or hospitals must ensure …

Effective supply chain management is critical to operations in various industries, including
healthcare. Demand prediction and inventory management are essential parts of healthcare …

The paper investigated the performance of ARIMA model on the South African inflation rate
using data set consists of 109 observations from January 2015 to January 2024. ARIMA …