In this paper, we develop a machine learning based healthcare monitoring and analytics from various Internet of Medical Things (IoMT) devices for possible prediction of cardiovascular risk in patients. The study uses random forest for feature selection and then the fuzzy logic classifier is used for prediction of Cardio Vascular Disease (CVD). The simulation is conducted to test the efficacy of the proposed machine learning based data analytics model over various other methods. The results show than the proposed method has higher rate of classification accuracy in classifying the CVD with higher recall and F1-score than other methods.
Mucormycosis the life-threatening opportunistic fungal infection affects primarily immuno-compromised patients in an aggressive manner. Mucormycosis in the oral cavity is not common. The case we report presented with infra orbital swelling and pain with radiographic appearance of small area of bone destruction in maxillary anterior region. The patient also had uncontrolled type 2 diabetes. The patient underwent extraction of his anterior teeth 10 days back before he developed the swelling and pain. The primary diagnosis was osteomyelitis. After the histopathology diagnosis of mucormycosis the patient was immediately started with Amphotericin-b and surgical debridement of the involved site was done. The combination of medical and surgical treatment of mucormycosis will have good prognosis.
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