Remesh K M, Nair Latha R
Division of Computer Science and Engineering, School of Engineering, CUSAT, Kochi, India.
Microprocess Microsyst. 2023 Mar;97:104758. doi: 10.1016/j.micpro.2023.104758. Epub 2023 Jan 4.
Everyone is making constant efforts to establish an effective diagnostic approach, therapy and control of the spread of the pandemic. Due to a flexible formulation, the parameters prior to the normal distributions and explicitly formulate assumptions on the transition probabilities between these categories over time. The spread of the COVID-19 pandemic represents a serious threat for scientists and academics, health professionals and even governments today. The Hospital wards are classified into Intensive Care Unit (ICU), Regular Wards (RW) with Recovered (R) and Deceased (D).. The formulation may be truncated to include particular hypotheses with an epidemiological interpretation. The principles of Three-Way Decision Theory could be used to anticipate and diagnose COVID-19 patients were classified into one of three zones based on their symptoms: Positive, Negative, or Boundary, and treatment are recommended if necessary. The thresholds that distinguish the three zones are determined using a variance-based criterion. Examine the impact of nonpharmaceutical interventions and the findings from data gathered during the second wave of the pandemic in Trivandrum, India.The Three-Way Decision Theory model has a good fit and gives good predictive performance, especially for RW and ICU patients, according to suitable discrepancy metrics that were created to assess and compare models. 95 percent accuracy increased and calculated values for 10 days to demonstrate the temporal aspects of the expected daily reproduction number R.
每个人都在不断努力建立一种有效的诊断方法、治疗手段并控制疫情的传播。由于其灵活的公式化表述，参数服从正态分布，并明确阐述了这些类别随时间变化的转移概率假设。如今，新冠疫情的传播对科学家、学者、卫生专业人员乃至政府都构成了严重威胁。医院病房分为重症监护病房（ICU）、有康复者（R）和死亡者（D）的普通病房（RW）。该公式化表述可以进行删减，以纳入具有流行病学解释的特定假设。三元决策理论的原则可用于预测和诊断新冠患者，根据症状将患者分为三个区域之一：阳性、阴性或边界性，并在必要时建议进行治疗。区分这三个区域的阈值是使用基于方差的标准确定的。研究印度特里凡得琅第二波疫情期间非药物干预措施的影响以及收集到的数据结果。根据为评估和比较模型而创建的合适差异度量标准，三元决策理论模型拟合良好，具有良好的预测性能，尤其是对普通病房和重症监护病房的患者。准确率提高了95%，并计算了10天的数值，以展示预期每日再生数R的时间方面。
