Advanced Health Care Monitoring in IOMT Systems Through Integrated CNN and LSTM

In the context of IoMT, smart and complex health care monitoring systems require integration of advanced big data analytics and algorithms. The current paper proposes a novel strategy that integrates CNNs and LSTMs to accurately and quickly track patients' condition. CNNs are used to extract and define spatial characteristics of medical image and sensor data, thereby enabling the identification of such important patterns or irregularities. The output features are then passed to LSTMs that can capture temporal dependencies in health information for forecasting future health status and identify future potential health problems. This GMO model makes use of the benefits of both CNNs and LSTMs, thereby providing a strong health care monitoring system that can provide valuable forecasts and real time data. Research outcomes indicate that this integrated solution offers valid and thorough methods for health care monitoring.