The digital personalized medicine system uses digital data to assess or diagnose symptoms of a subject to provide personalized or more appropriate therapeutic interventions and improved diagnoses. The use of prioritized questions and answers with associated feature importance can be used to assess mental function and allow a subject to be diagnosed with fewer questions, such that diagnosis can be repeated more often and allow the dosage to be adjusted more frequently. Pharmacokinetics of the subject can be estimated based on demographic data and biomarkers or measured, in order to determine a treatment plan for the subject. Also, biomarkers can be used to determine when the patient may be at risk for experiencing undesirable side effects and the treatment plan adjusted accordingly.
                            数字个性化医疗系统使用数字数据评估或诊断受试者的症状,以提供个性化或更合适的治疗干预和改进的诊断。使用具有相关特征重要性的优先级问题和答案,可用于评估心理功能,使受试者只需较少的问题就能得到诊断,从而可以更频繁地重复诊断,更频繁地调整剂量。受试者的药代动力学可以根据人口统计学数据和
生物标志物进行估计或测量,以便确定受试者的治疗方案。此外,
生物标志物还可用于确定患者何时有可能出现不良副作用,并相应调整治疗方案。