Why the study?
Early detection of heart disease via IoMT can lower mortality, but predicting heart illnesses from clinical records remains difficult and prior methods lack sufficient accuracy.
Does the MSSO-ANFIS model improve the accuracy of heart disease prediction from clinical records compared to other methods?
Does the MSSO-ANFIS model improve the accuracy of heart disease prediction from clinical records compared to other methods?
The proposed MSSO-ANFIS machine learning framework demonstrates high accuracy (99.45%) in predicting heart disease from clinical records, suggesting potential utility in IoMT systems.
Should not yet change clinical prediction practices; leaves open real-world validation of MSSO-ANFIS.
There are many uses for the Internet from Things (IoT) in fields like industry, healthcare, and farming. The worldwide popularity of the Internet about Medical Things (IoMT) has grown thanks to a big increase in personal tech, especially in health tracking systems. IoMT is very important for lowering death rates by finding diseases early, but it is very hard for it to predict heart illnesses from clinical records. Heart disease detection has been the subject of studies in the past, but their accuracy is still not great. In response, a new IoMT framework is suggested for predicting heart disease. This framework uses modified Salp Cluster Optimizer (MSSO) alongside an Adaptive Fuzzy Inference System for Neuro-Fuzzy (ANFIS). The Levy flight method makes the MSSO-ANFIS model better at searching, going beyond the limits imposed by conventional gradient-based discovering in ANFIS. Heart disease can be predicted by looking at medical records that include things like heart rate, age, sex, difficulty breathing, cholesterol, and blood sugar. The suggested model does a better job than others at classifying sensor data using MSSO-ANFIS. It achieves an impressive 99.45% accuracy and 96.54% precision. This program proves that MSSO-ANFIS is good at predicting diseases and shows that it is better than other methods.
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Kumar et al. (2024) studied Heart disease. MSSO-ANFIS model (IoMT framework) vs. Other methods was evaluated on Prediction accuracy.
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