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One’s health can be enhanced by developing treatment strategies based on the track record of patient, data in real-time along with his feedback with the application of Reinforcement Learning. RL’s ability to adjust and continuous learning from distinct needs of each patient makes sure the efficiency, dynamic treatment and precision unalike ML or DL models. Through literary resources, RL’s succession in areas such as chronic situations, radiation therapy, and modification of medicine dosage is evident. The suggested model incorporates the data of the patient including his medical history, and feedback loops to help increase the model continuously. Through the result analysis, we can see that RL turns out to be the best method by continuously aligning with the doctor’s advice increase in prediction accuracy. By improved health outcomes and accuracy, faster healing and patient specific care, healthcare industry can be altered to a better future as it benefits both the patient and the healthcare providers.

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Usage of Reinforcement Learning to Suggest Optimal Treatment Path Based on Patient History and Real-Time Data

  • 会议论文

  • 发表日期：

    2026年

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  • Ibrahim Ahmad Siddiqui,
  • Ujjawal Agarwal,
  • B. Manjusha,
  • Mohammed Ibrahim Mohammed,
  • Widad Abdul- Hadi Alnakkash

摘要

One’s health can be enhanced by developing treatment strategies based on the track record of patient, data in real-time along with his feedback with the application of Reinforcement Learning. RL’s ability to adjust and continuous learning from distinct needs of each patient makes sure the efficiency, dynamic treatment and precision unalike ML or DL models. Through literary resources, RL’s succession in areas such as chronic situations, radiation therapy, and modification of medicine dosage is evident. The suggested model incorporates the data of the patient including his medical history, and feedback loops to help increase the model continuously. Through the result analysis, we can see that RL turns out to be the best method by continuously aligning with the doctor’s advice increase in prediction accuracy. By improved health outcomes and accuracy, faster healing and patient specific care, healthcare industry can be altered to a better future as it benefits both the patient and the healthcare providers.