如何为大型 if-else 语句分配评分系统 ASP.Net

Question

我正在从事一个项目，该项目由一个医疗患者记录系统组成，该系统在其中存储了大量患者信息。 当医生/护士添加新患者时，他们必须查看大量病史情况等，例如患者是否患有癌症、是否吸烟、是否肥胖等。每个变量都是布尔值，并且是声明为 yes 或 no，值为 1 或 0。

需要患者输入表上的所有变量，因为它们是更大的风险评估计算器的一部分。 这些条件中的每一个都有特定的值，例如，如果患者患有癌症，则选择是。 这将是为每个患者添加的评分系统 +1 分。 某些变量（例如肥胖症）的答案会超过 1 个，因此它们会得到 0/1/2 分。

所有这些变量都放在一个patient.cs 类中，BMI 计算器等功能也是如此。 我在哪里以及如何为我的每个变量分配分数？ （有超过 15 个不同的变量，所以它必须是一个很大的 if-else 语句）

任何援助将不胜感激。

- - - - - - - - - - - -[编辑] - - - - - - - - - - - - -------------

The code below is my patient.cs class as of now

 public class Patient
    {
        //The patients ID
        [Key]
        [DatabaseGenerated(DatabaseGeneratedOption.Identity)]
        public int patientId { get; set; }

        [ForeignKey("ApplicationUser")]
        public string Id { get; set; }
        public virtual ApplicationUser ApplicationUser { get; set; }

        public string firstName { get; set; }

        public string middleName { get; set; }

        public string lastName { get; set; }

        public string gender { get; set; }

        public DateTime birthdate { get; set; }

        public decimal weight { get; set; }

        public decimal height { get; set; }


        /*  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
            Pre-existing risk factors
            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~          
         */

        //Parity is the amount of pregnancies had
        public int parity { get; set; }
        // single, married, seperated or divorced
        public string civilStatus { get; set; }
        //  yes = 4 | no = 0
        public bool previousVTE { get; set; }
        // Provoked by major surgery?  yes = 3 | no = 0
        public bool surgeryVTE { get; set; }
        //  yes = 3 | no = 0
        public bool highRiskThrombophilia { get; set; }
        //  yes =  | no = 
        public bool cancer { get; set; }
        //  yes = 3 | no = 0
        public bool heartFailure { get; set; }
        //  yes = 3 | no = 0
        public bool activeSystemicLupusErythematosus { get; set; }
        //  yes = 3 | no = 0
        public bool inflammatoryPolyarthropathy { get; set; }
        //  yes = 3 | no = 0
        public bool inflammatoryBowelDisease { get; set; }
        //  yes = 3 | no = 0
        public bool nephroticSyndrome { get; set; }
        //  yes = 3 | no = 0
        public bool typeIDiabetesMellitusWithNephropathy { get; set; }
        //  yes = 3 | no = 0
        public bool sickleCellDisease { get; set; }
        //  yes = 3 | no = 0
        public bool currentInratvenousDrugUser { get; set; }
        // Family history of unprovoked / estrogen-related VTE in first-degree relative? yes = 1 | no = 0
        public bool familyHistoryVTEFirstDegreeRelative { get; set; }
        //  yes = 1 | no = 0
        public bool lowRiskThrombophilia { get; set; }
        //  yes = 1 | no = 0
        public bool smoker { get; set; }
        //  yes = 1 | no = 0
        public bool grossVaricoseVeins { get; set; }

        //  0 = no, 1=>30 2=>40
        public string obesity { get; set; }


        /*  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
            Obstetric risk factors
            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
         */

        //  yes = 1 | no = 0
        public bool preEclampsiaInCurrentPregnancy { get; set; }
        // ART/IVF (antenatal only) yes = 1 | no = 0
        public bool ARTorIVF { get; set; }
        //  yes = 1 | no = 0
        public bool multiplePregnancy { get; set; }
        //  yes = 2 | no = 0
        public bool caesareanSectionInLabour { get; set; }
        //  yes = 1 | no = 0
        public bool electiveCaesareanSection { get; set; }
        // Mid-cavity or rotational operative delivery yes = 1 | no = 0
        public bool operativeDelivery { get; set; }
        // Prolonged labour (> 24 hours) yes = 1 | no = 0
        public bool prolongedLabour { get; set; }
        // PPH (> 1 litre or transfusion) yes = 1 | no = 0
        public bool PPH { get; set; }
        // Preterm birth < 37+0 weeks in current pregnancy yes = 1 | no = 0
        public bool pretermBirth { get; set; }
        // Stillbirth in current pregnancy yes = 1 | no = 0
        public bool stillBirth { get; set; }

        /*  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
            Transient risk factors
            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
         */

        // Any surgical procedure in pregnancy or puerperium except immediate repair of the
        // perineum, e.g.appendicectomy, postpartum sterilisation yes = 3 | no = 0
        public bool surgicalProcedure { get; set; }
        // yes = 3 | no = 0
        public bool Hyperemesis { get; set; }
        // yes OHSS(first trimester only = 4 | no = 0
        public bool OHSS { get; set; }
        //  yes = 1 | no = 0
        public bool currentSystemicInfection { get; set; }
        //  yes = 1 | no = 0
        public bool immobilityOrDehydration { get; set; }


        //public string middleName { get; set; }

        private ApplicationDbContext _dbContext;

        public Patient()
        {
            this._dbContext = new ApplicationDbContext();
        }


        public void AddToDatabase()
        {
            _dbContext.Patients.Add(this);
            _dbContext.SaveChanges();

        }

Answer 1

编写一系列表示每个风险因素得分的表达式，并将它们放入一个数组中。

var riskFactors = new Func<Patient,float>[]
{
    p => p.cancer  ? 3.0F : 0F,
    p => p.multiplePregnancy ? 2.0F : 0F
    p => p.caesareanSectionInLabour ? 1.0F : 0.F,
    //One expression per item in the questionnaire
};

然后您只需将它们相加即可获得患者的总分：

public float GetScoreForPatient(Patient patient)
{
    return riskFactors.Select
    ( 
        factor => factor(patient)
    )
    .Sum();
}