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The health-world industry has seen a huge transition from the traditional healthcare system to the AI-based healthcare sector. However, the lack of a unified method for cost review prior to hospital visits means that overall costs for patient treatment remain high and difficult to manage. The ease with which patients may access modern technologies has contributed to the growing popularity of online medical systems in recent years. A method for early illness prediction based on symptoms is what we suggest. This technology using machine learning also schedules an appointment based on doctor availability and recommends hospitals in the area based on user ratings and facility locations. By automating the illness prediction, this system aims to decrease the time and effort spent by patients and clinicians.

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An Intelligent Probability-Based Supervised Localized Framework for Cardiologist Recommendation Using Predictive Analytics Approach

  • 会议论文

  • 发表日期：

    2025年

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  • Suvra Mukherjee,
  • Shruti Dutta,
  • Kunal Anand,
  • Lu Wang,
  • Bharati Rathore

摘要

The health-world industry has seen a huge transition from the traditional healthcare system to the AI-based healthcare sector. However, the lack of a unified method for cost review prior to hospital visits means that overall costs for patient treatment remain high and difficult to manage. The ease with which patients may access modern technologies has contributed to the growing popularity of online medical systems in recent years. A method for early illness prediction based on symptoms is what we suggest. This technology using machine learning also schedules an appointment based on doctor availability and recommends hospitals in the area based on user ratings and facility locations. By automating the illness prediction, this system aims to decrease the time and effort spent by patients and clinicians.