Journal of Intelligent Systems and Internet of Things JISIoT 2690-6791 2769-786X 10.54216/JISIoT https://www.americaspg.com/journals/show/3943 2019 2019 Department of Computing Technologies, School of Computing, SRM institute of Science and Technology, Kattankulathur, Chengalpattu, Tamilnadu, India V. V. Professor, Department of CSE, GITAM School of Technology, GITAM University, Hyderabad, India Pritee Parwekar Assistant Professor, Department of CSE (AI&ML), Pragati Engineering College, Surampalem Andhra Pradesh, India V. Anantha Lakshmi Assistant Professor, Department of CSE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India M. Syed Rabiya Assistant Professor, Department of Computer Science and Engineering (Cyber security) Karpagam college of Engineering, Coimbatore, India M. Banu Priya Professor, PG Department of Computer Science, Thiruthangal Nadar College, Selavayal, Chennai-51, India V. Devi Growing use of a wide range of Internet of Medical Things (IoMT) devices and apps makes smart health an increasingly vulnerable area. One popular method for creating smart city solutions that benefit vital infrastructures over time, such smart healthcare, is IoMT. Because Bluetooth technology is flexible and uses few resources, it is used for short-range communication by many IoMT devices in smart cities. This research proposes novel technique in urban planning in smart public healthcare system utilizing ML algorithms. The smart healthcare system is developed based on secure honeynet cloud IoT model. Here the input smart healthcare-based health monitoring data is collected and processed for missing value removal and noise removal. Then this data classified and optimized using recurrent Bi-LSTM temporal Gaussian model with whale swarm particle colony optimization. Experimental analysis is carried out in terms of detection accuracy, precision, data integrity, throughput, recall, latency. proposed technique obtained 96% of Detection    accuracy, 97% of Precision, 95% of Throughput, 88% of RECALL, 94% of LATENCY. 2026 2026 185 193 10.54216/JISIoT.180113 https://www.americaspg.com/articleinfo/18/show/3943