Projects > Discovery Challenge 2004 > Data set > Entry

 

Personal anamnesis

Attributes relating to the personal anamnesis can be divided into several subgroups. Subgroups and individual attributes are lucidly given in the Table 1. Codes according the Table 2 are used for the individual attributes given in the Table 1.

Table 1: Attributes relating to the personal anamnesis
SubgroupsAttribute
IdentifierMeaningIdentifierMeaning
IMmyocardial infarctionIMIM found
  IMLmedicines in IM
  IMTRVbefore how many year IM has appeared
HThypertensionHTHT found
  HTDdiet in HT
  HTLmedicines in HT
  HTTRVbefore how many years HT has appeared
ICTictusICTICT found
  ICTLmedicines in ICT
  ICTTTRVbefore how many years ICT has appeared
DIABdiabetesDIABETDIAB found
  DIABDdiet in DIAB
  DIABLmedicines in DIAB
  DIABTRVbefore how many years DIAB has appeared
HYPLIPhyperlipidemiaHYPLIPHYPLIP found
  HYPLDdiet in HYPLIP
  HYPLLmedicines in HYPLIP
  HYPLTRVbefore how many years HYPLIP has appeared
Table 2: Codes for attributes relating to the personal anamnesis
AttributeCodeMeaning
IM, HT, ICT, DIABET, HYPLIP, JINAO1yes – diagnosis found
2no – diagnosis not founded
6not stated
HTD, DIABD, HYPLD, JINAD3therapy by a diet
6not stated
IML, HTL, ICTL, DIABL, HYPLL, JINAL4medicines sometimes
5medicines always
6not stated
IMTRV, HTTRV, ICTTRV, DIABTRV,
HYPLTRV, JINATRV
numberbefore how many years a disease has appeared

In the Tables 3–11 there are given numbers of patients for several value combinations of individual attributes.

Table 3: Frequency of combinations of the IM attribute values
IM – myocardial infarctionIML – therapy by medicinos Number of patients
noempty entry = not treated, because he does not suffered myocardial infarction1 378
yes he suffered myocardial infarction, there are no entries about treatment32
not statedempty entry = there is no entry about treatment because there is no entry about infarction5
yessometimes1
yesalways1
Table 4: Frequency of the IMTRV attribute values
IMTRV – before how many years IM has appearedNumber of patients
01
15
23
33
43
52
61
72
81
92
103
111
132
142
161
empty entry = he had not got infarction1 385
Table 5: Frequency of combinations of the HT attribute values
HT – hypertensionHTD – therapy by a diet HTL – therapy by medicinesNumber of patients
no (he has not got hypertension) empty netry = not treated (he has not got hypertension) empty netry = not treated (he has not got hypertension) 1 192
yes (he has got hypertension) not stated not stated 132
yes (he has got hypertension) not stated medicines sometimes 40
yes (he has got hypertension) not stated medicines always 29
yes (he has got hypertension) yes (treated by a diet) medicines sometimes 10
yes (he has got hypertension) yes (treated by a diet) medicines always 5
not stated empty entry = there are no data about a therapy, as there are no data about hypertension empty entry = there are no data about a therapy, as there are no data about hypertension 5
yes (he has got hypertension) medicines always not stated 4
Table 6: Frequency of the HTTRV attribute values
HTTRV – before how many years hypertension has appearedNumber of patients
133
224
313
411
516
611
75
89
93
1023
113
123
132
158
161
183
191
2012
212
224
235
255
261
271
302
321
351
empty entry = he has not got hypertension1 214
Table 7: Frequency of combinations of the ICT attribute values
ICT – ictusICTL – therapy by medicines ICTTRV – before how many yearsNumber of patients
no (he did not suffered ictus) empty entry = not treated (he did not suffer ictus) empty entry = not treated (he did not suffer ictus) 1 408
not stated empty entry = there are no data about a therapy, as there are no data about ictus empty entry = there are no data about a therapy, as there are no data about ictus 7
yes (he suffered ictus) not stated 6 1
yes (he suffered ictus) not stated 1 1
Table 8: Frequency of combinations of the DIAB attribute values
DIABET – diabetesDIABD – therapy by a diet DIABL – therapy by medicinesNumber of patients
no (he has not got diabetes) empty entry = not treated (he has not got diabetes) empty entry = not treated (he has not got diabetes) 1 378
yes (he has got diabetes) yes not stated 13
not stated empty entry = not treated (he has not got diabetes) empty entry = not treated (he has not got diabetes) 9
yes (he has got diabetes) not stated not stated 9
yes (he has got diabetes) yes always 5
yes (he has got diabetes) not stated sometimes 3
Table 9: Frequency of the DIABTRV attribute values
DIABTRV – before how many years diabetes has appeared Number of patients
12
22
35
43
55
71
112
122
191
empty entry = has not got diabetes1 394
Table 10: Frequency of combinations of the HYPLIP attribute values
HYPLIP – hyperlypoproteinemiaHYPLD – therapy by a diet HYPLL – therapy by medicinesNumber of patients
no (he has not got hyperlypoproteinemia) empty entry = not treated (he has not got hyperlypoproteinemia) empty entry = not treated (he has not got hyperlypoproteinemia) 815
not stated empty entry = there are no data about a therapy, as there are no data about hyperlypoproteinemia empty entry = there are no data about a therapy, as there are no data about hyperlypoproteinemia 548
yes (he has got hyperlypoproteinemia not stated not stated 37
yes (he has got hyperlypoproteinemia) not stated sometimes 8
yes (he has got hyperlypoproteinemia) yes not stated 3
yes (he has got hyperlypoproteinemia) not stated always 2
yes (he has got hyperlypoproteinemia) yes sometimes 2
yes (he has got hyperlypoproteinemia) yes always 2
Table 11: Frequency of the HYPLTRV attribute values
HYPLTRV – before how many years hyperlipidemia has appeared Number of patients
01
110
24
36
45
53
62
72
82
92
111
empty entry = he has not got hyperlipidemia1 379

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