/// <summary>
/// Derange values
/// </summary>
/// <param name="useOriginalValue">whether to use original value to derange</param>
public void Derange(bool useOriginalValue = false)
{
if (useOriginalValue)
{
valueArray = originalValues?.ToArray() ?? new T[0];
}
if (valueArray.IsNullOrEmpty())
{
return;
}
lastIndex = 0;
var size = valueArray.Length;
for (var i = size - 1; i >= 0; --i)
{
var nextIndex = RandomNumberHelper.GetRandomNumber(i);
var nextValue = valueArray[nextIndex];
valueArray[nextIndex] = valueArray[i];
valueArray[i] = nextValue;
}
}
/// <summary>
/// Seed Events, meanwhile seed clinical problem instances
/// </summary>
void SeedEvent()
{
var encounter = db.Encounter.FirstOrDefault();
if (encounter == null)
{
return;
}
Event evt;
Report report;
// make report & fact sample data using test suite dict
//
// 1st event
//
evt = new Event()
{
Name = "心肌疾病的实验诊断",
Encounter = encounter,
EventType = EnumEventType.化验单.ToString(),
TimeStamp = DateTime.Now
};
db.Event.Add(evt);
report = new Report()
{
Event = evt,
ReportType = EnumReportType.化验单.ToString(),
TimeStamp = DateTime.Now,
URL = "/KnowledgeBase/report/心肌酶.jpg"
};
db.Report.Add(report);
var item = db.ContextItemDefinition.FirstOrDefault(x => x.Name == "肌酸激酶CK-MB测定");
if (item != null)
{
var fact = new Fact()
{
Report = report,
NumericValue = 6.0,
Confidence = RandomNumberHelper.GetRandomNumber(98, 100),
ContextItemDefinition = item,
IsAbnormal = false,
LifeSpan = EnumLifeSpan.Temporary.ToString()
};
db.UpdateFactCache(encounter.Id, fact);
}
item = db.ContextItemDefinition.FirstOrDefault(x => x.Name == "α羟基丁酸脱氢酶测定");
if (item != null)
{
var fact = new Fact()
{
Report = report,
NumericValue = 120,
Confidence = RandomNumberHelper.GetRandomNumber(98, 100),
ContextItemDefinition = item,
IsAbnormal = false,
LifeSpan = EnumLifeSpan.Temporary.ToString()
};
db.UpdateFactCache(encounter.Id, fact);
}
item = db.ContextItemDefinition.FirstOrDefault(x => x.Name == "肌钙蛋白T测定");
if (item != null)
{
var fact = new Fact()
{
Report = report,
NumericValue = 1.1,
Confidence = RandomNumberHelper.GetRandomNumber(98, 100),
ContextItemDefinition = item,
IsAbnormal = true,
LifeSpan = EnumLifeSpan.Temporary.ToString()
};
db.UpdateFactCache(encounter.Id, fact);
}
item = db.ContextItemDefinition.FirstOrDefault(x => x.Name == "肌钙蛋白I测定");
if (item != null)
{
var fact = new Fact()
{
Report = report,
NumericValue = 11,
Confidence = RandomNumberHelper.GetRandomNumber(98, 100),
ContextItemDefinition = item,
IsAbnormal = true,
LifeSpan = EnumLifeSpan.Temporary.ToString()
};
db.UpdateFactCache(encounter.Id, fact);
}
item = db.ContextItemDefinition.FirstOrDefault(x => x.Name == "肌红蛋白测定");
if (item != null)
{
var fact = new Fact()
{
Report = report,
NumericValue = 80,
Confidence = RandomNumberHelper.GetRandomNumber(98, 100),
ContextItemDefinition = item,
IsAbnormal = false,
LifeSpan = EnumLifeSpan.Temporary.ToString()
};
db.UpdateFactCache(encounter.Id, fact);
}
item = db.ContextItemDefinition.FirstOrDefault(x => x.Name == "缺血修饰白蛋白(IMA)测定");
if (item != null)
{
var fact = new Fact()
{
Report = report,
NumericValue = 90,
Confidence = RandomNumberHelper.GetRandomNumber(98, 100),
ContextItemDefinition = item,
IsAbnormal = false,
LifeSpan = EnumLifeSpan.Temporary.ToString()
};
db.UpdateFactCache(encounter.Id, fact);
}
item = db.ContextItemDefinition.FirstOrDefault(x => x.Name == "脑钠肽(BNP)测定");
if (item != null)
{
var fact = new Fact()
{
Report = report,
NumericValue = 70,
Confidence = RandomNumberHelper.GetRandomNumber(98, 100),
ContextItemDefinition = item,
IsAbnormal = false,
LifeSpan = EnumLifeSpan.Temporary.ToString()
};
db.UpdateFactCache(encounter.Id, fact);
}
item = db.ContextItemDefinition.FirstOrDefault(x => x.Name == "N端-前脑钠肽(NT-ProBNP)测定");
if (item != null)
{
var fact = new Fact()
{
Report = report,
NumericValue = 66,
Confidence = RandomNumberHelper.GetRandomNumber(98, 100),
ContextItemDefinition = item,
IsAbnormal = false,
LifeSpan = EnumLifeSpan.Temporary.ToString()
};
db.UpdateFactCache(encounter.Id, fact);
}
item = db.ContextItemDefinition.FirstOrDefault(x => x.Name == "妊娠相关蛋白测定");
if (item != null)
{
var fact = new Fact()
{
Report = report,
StringValue = "阴性(-)",
Confidence = RandomNumberHelper.GetRandomNumber(98, 100),
ContextItemDefinition = item,
IsAbnormal = false,
LifeSpan = EnumLifeSpan.Temporary.ToString()
};
db.UpdateFactCache(encounter.Id, fact);
}
item = db.ContextItemDefinition.FirstOrDefault(x => x.Name == "同型半胱氨酸测定");
if (item != null)
{
var fact = new Fact()
{
Report = report,
NumericValue = 9,
Confidence = RandomNumberHelper.GetRandomNumber(98, 100),
ContextItemDefinition = item,
IsAbnormal = false,
LifeSpan = EnumLifeSpan.Temporary.ToString()
};
db.UpdateFactCache(encounter.Id, fact);
}
db.SaveChanges();
//
// 2nd event
//
evt = new Event()
{
Name = "肾脏疾病的实验诊断",
Encounter = db.Encounter.FirstOrDefault(),
EventType = EnumEventType.化验单.ToString(),
TimeStamp = DateTime.Now
};
db.Event.Add(evt);
report = new Report()
{
Event = evt,
ReportType = EnumReportType.化验单.ToString(),
TimeStamp = DateTime.Now,
URL = "/KnowledgeBase/report/肝肾.jpg"
};
db.Report.Add(report);
//
// 3rd events
// Generate a series of continuous BP facts to demostrate the
//
for (int i = 0; i < 5; i++)
{
evt = new Event()
{
Name = "第" + (i + 1).ToString() + "次" + EnumEventType.体征数据.ToString(),
Encounter = db.Encounter.FirstOrDefault(),
Description = "",
EventType = EnumEventType.体征数据.ToString(),
TimeStamp = DateTime.Now.Subtract(TimeSpan.FromDays(10 - i))
};
report = new Report()
{
Event = evt,
ReportType = EnumReportType.住院病历.ToString(),
TimeStamp = DateTime.Now.Subtract(TimeSpan.FromDays(10 - i)),
URL = "/KnowledgeBase/report/BP.jpg"
};
db.Report.Add(report);
}
//
// 4th event
//
evt = new Event()
{
Name = EnumEventType.入院.ToString(),
Encounter = db.Encounter.FirstOrDefault(),
Description = "",
EventType = EnumEventType.入院.ToString(),
TimeStamp = DateTime.Now.Subtract(TimeSpan.FromDays(20))
};
db.Event.Add(evt);
report = new Report()
{
Event = evt,
ReportType = EnumReportType.入院记录.ToString(),
TimeStamp = DateTime.Now.Subtract(TimeSpan.FromDays(20)),
URL = "/KnowledgeBase/report/入院记录.htm"
};
db.Report.Add(report);
db.UpdateFactCache(encounter.Id, new Fact()
{
Report = report,
BooleanValue = true,
Confidence = 100,
ContextItemDefinition = db.ContextItemDefinition.FirstOrDefault(x => x.Name == "急性冠脉综合征"),
LifeSpan = EnumLifeSpan.Temporary.ToString()
});
db.SaveChanges();
//
// 5th event
//
evt = new Event()
{
Name = EnumEventType.诊断.ToString(),
Encounter = db.Encounter.FirstOrDefault(),
Description = "",
EventType = EnumEventType.诊断.ToString(),
TimeStamp = DateTime.Now.Subtract(TimeSpan.FromDays(20))
};
report = new Report()
{
Event = evt,
ReportType = EnumReportType.门诊诊断.ToString(),
TimeStamp = DateTime.Now.Subtract(TimeSpan.FromDays(20)),
URL = "/KnowledgeBase/report/RIM.png"
};
db.Report.Add(report);
// in real application, facts are retrived by GetFactsFromreport(report obj/url) I/F.
db.UpdateFactCache(encounter.Id, new Fact()
{
Report = report,
BooleanValue = true,
IsAbnormal = true,
Confidence = 100,
ContextItemDefinition = db.ContextItemDefinition.FirstOrDefault(x => x.Name == "心房扑动"),
LifeSpan = EnumLifeSpan.Temporary.ToString()
});
db.UpdateFactCache(encounter.Id, new Fact()
{
Report = report,
BooleanValue = true,
IsAbnormal = true,
Confidence = 100,
ContextItemDefinition = db.ContextItemDefinition.FirstOrDefault(x => x.Name == "肺动脉高压"),
LifeSpan = EnumLifeSpan.Temporary.ToString()
});
db.UpdateFactCache(encounter.Id, new Fact()
{
Report = report,
BooleanValue = true,
IsAbnormal = true,
Confidence = 100,
ContextItemDefinition = db.ContextItemDefinition.FirstOrDefault(x => x.Name == "肥胖"),
LifeSpan = EnumLifeSpan.Temporary.ToString()
});
db.UpdateFactCache(encounter.Id, new Fact()
{
Report = report,
BooleanValue = true,
IsAbnormal = true,
Confidence = 100,
ContextItemDefinition = db.ContextItemDefinition.FirstOrDefault(x => x.Name == "鼻炎"),
LifeSpan = EnumLifeSpan.Temporary.ToString()
});
db.UpdateFactCache(encounter.Id, new Fact()
{
Report = report,
BooleanValue = true,
IsAbnormal = true,
Confidence = 100,
ContextItemDefinition = db.ContextItemDefinition.FirstOrDefault(x => x.Name == "远视"),
LifeSpan = EnumLifeSpan.Temporary.ToString()
});
db.UpdateFactCache(encounter.Id, new Fact()
{
Report = report,
BooleanValue = true,
IsAbnormal = true,
Confidence = 100,
ContextItemDefinition = db.ContextItemDefinition.FirstOrDefault(x => x.Name == "精神分裂症"),
LifeSpan = EnumLifeSpan.Temporary.ToString()
});
db.UpdateFactCache(encounter.Id, new Fact()
{
Report = report,
BooleanValue = true,
IsAbnormal = true,
Confidence = 100,
ContextItemDefinition = db.ContextItemDefinition.FirstOrDefault(x => x.Name == "手术并发症"),
LifeSpan = EnumLifeSpan.Temporary.ToString()
});
db.SaveChanges();
}
/// <summary>
/// used for demo purpose only
/// </summary>
/// <param name="id"></param>
/// <param name="db"></param>
/// <returns></returns>
public IEnumerable <Fact> GetFactsFromReportMock(int id, KBEntities db)
{
var facts = new List <Fact>();
if (db == null)
{
return(facts);
}
var report = db.Report.Find(id);
if (report == null)
{
return(facts);
}
if (report.Event.EventType == EnumEventType.体征数据.ToString())
// && db.Fact.Where(x=>x.Report.Id==report.Id && x.LifeSpan == EnumLifeSpan.Temporary.ToString()).Count()<=0)
{
var contextItem = db.ContextItemDefinition.FirstOrDefault(x => x.Name == "肱动脉收缩压");
if (contextItem != null)
{
facts.Add(new Fact()
{
Report = report,
NumericValue = 160 + RandomNumberHelper.GetRandomNumber(-20, 20),
IsAbnormal = true,
Confidence = 100,
ContextItemDefinition = contextItem,
LifeSpan = EnumLifeSpan.Temporary.ToString()
});
}
contextItem = db.ContextItemDefinition.FirstOrDefault(x => x.Name == "肱动脉舒张压");
if (contextItem != null)
{
facts.Add(new Fact()
{
Report = report,
NumericValue = 120 + RandomNumberHelper.GetRandomNumber(-20, 20),
IsAbnormal = true,
Confidence = 100,
ContextItemDefinition = contextItem,
LifeSpan = EnumLifeSpan.Temporary.ToString()
});
}
}
else
{
foreach (var x in db.Fact)
{
if (x.Report.Id == id &&
x.LifeSpan == EnumLifeSpan.Temporary.ToString())
{
facts.Add(x);
}
}
}
return(facts);
}