This function generates a list of tibbles representing the Danish health registers and the data necessary to run the algorithm. The dataset contains individuals who should not be included in the final classified cohort.
Value
A named list of 9 tibble::tibble() objects, each representing a
different health register: bef, lmdb, lpr_adm, lpr_diag,
kontakter, diagnoser, sysi, sssy, and lab_forsker.
Details
The generated data is used in testthat tests to ensure the algorithm
behaves as expected under a wide range of conditions, but it is also intended
to be explored by users to better understand how the algorithm logic works
and to be shown in the documentation.
Examples
non_cases()
#> $bef
#> # A tibble: 1,003 × 3
#> pnr koen foed_dato
#> <chr> <int> <chr>
#> 1 nc_pcos_1 2 19800101
#> 2 nc_pcos_2 2 19800101
#> 3 nc_pcos_3 2 19800101
#> 4 108684730664 1 19320112
#> 5 982144017357 2 20070716
#> 6 672580814975 1 19800805
#> 7 439008110445 2 20090628
#> 8 489714666740 1 20170225
#> 9 155331797020 2 19730330
#> 10 777951655096 1 19341022
#> # ℹ 993 more rows
#>
#> $lmdb
#> # A tibble: 1,003 × 6
#> pnr volume eksd atc apk indo
#> <chr> <dbl> <chr> <chr> <dbl> <chr>
#> 1 nc_pcos_1 10 20210101 A10BA02 5 0000276
#> 2 nc_pcos_2 10 20190101 A10BA02 5 0000276
#> 3 nc_pcos_3 10 20190101 A10BA02 5 0000276
#> 4 108684730664 6.96 20001009 M01AB06 5.30 9175383
#> 5 982144017357 7.47 20160925 A10BJ06 5.20 2142991
#> 6 672580814975 9.80 20121027 A10BJ06 9.99 6263203
#> 7 439008110445 6.33 20110417 A10BJ06 4.14 1958385
#> 8 489714666740 6.40 20240528 N06AA12 1.61 9269216
#> 9 155331797020 9.53 20050827 N02AX03 3.99 5353152
#> 10 777951655096 5.41 20141010 L01BB05 6.58 7558017
#> # ℹ 993 more rows
#>
#> $lpr_adm
#> # A tibble: 1,003 × 4
#> pnr c_spec recnum d_inddto
#> <chr> <chr> <chr> <chr>
#> 1 nc_pcos_1 08 1 20180101
#> 2 nc_pcos_2 08 1 20170101
#> 3 nc_pcos_3 08 1 20170101
#> 4 108684730664 42 920166254345774467 20170316
#> 5 982144017357 59 075972782062569784 20081030
#> 6 672580814975 59 176536283003603061 19781226
#> 7 439008110445 70 581624294965046227 20040706
#> 8 489714666740 06 814210282344580857 20160613
#> 9 155331797020 06 393885735973313484 20001231
#> 10 777951655096 88 836179506546686729 20250325
#> # ℹ 993 more rows
#>
#> $lpr_diag
#> # A tibble: 1,001 × 3
#> recnum c_diag c_diagtype
#> <chr> <chr> <chr>
#> 1 1 249 A
#> 2 920166254345774467 32208 B
#> 3 075972782062569784 55389 A
#> 4 176536283003603061 17309 B
#> 5 581624294965046227 E9230 B
#> 6 814210282344580857 E9689 A
#> 7 393885735973313484 51122 B
#> 8 836179506546686729 E8127 B
#> 9 814175436846538799 23999 B
#> 10 508133593881487375 76643 B
#> # ℹ 991 more rows
#>
#> $kontakter
#> # A tibble: 1,003 × 4
#> cpr dw_ek_kontakt hovedspeciale_ans dato_start
#> <chr> <chr> <chr> <chr>
#> 1 nc_pcos_1 1 medicinsk endokrinologi 20210101
#> 2 nc_pcos_2 1 medicinsk endokrinologi 20190101
#> 3 nc_pcos_3 1 medicinsk endokrinologi 20190101
#> 4 108684730664 920166254345774467 Thoraxkirurgi 20170316
#> 5 982144017357 075972782062569784 Klinisk neurofysiologi 20081030
#> 6 672580814975 176536283003603061 Medicinsk gastroenterologi 19781226
#> 7 439008110445 581624294965046227 Miljømedicin 20040706
#> 8 489714666740 814210282344580857 Arbejdsmedicin 20160613
#> 9 155331797020 393885735973313484 Patologisk anatomi 20001231
#> 10 777951655096 836179506546686729 Neurologi 20250325
#> # ℹ 993 more rows
#>
#> $diagnoser
#> # A tibble: 1,001 × 4
#> dw_ek_kontakt diagnosekode diagnosetype senere_afkraeftet
#> <chr> <chr> <chr> <chr>
#> 1 1 DE10 A Nej
#> 2 920166254345774467 DX7621 B Nej
#> 3 075972782062569784 DZ832 B Ja
#> 4 176536283003603061 DQ796 A Nej
#> 5 581624294965046227 DN764E A Nej
#> 6 814210282344580857 DB260 B Nej
#> 7 393885735973313484 DM13 B Nej
#> 8 836179506546686729 DZ52 B Ja
#> 9 814175436846538799 DQ666D B Nej
#> 10 508133593881487375 DK660C A Nej
#> # ℹ 991 more rows
#>
#> $sysi
#> # A tibble: 1,003 × 4
#> pnr barnmak speciale honuge
#> <chr> <int> <chr> <chr>
#> 1 nc_pcos_1 0 54 2101
#> 2 nc_pcos_2 0 54 1901
#> 3 nc_pcos_3 0 54 1901
#> 4 108684730664 0 10022 9329
#> 5 982144017357 0 88475 0442
#> 6 672580814975 0 83575 9549
#> 7 439008110445 1 86409 9603
#> 8 489714666740 0 42818 9215
#> 9 155331797020 0 67148 9924
#> 10 777951655096 0 62545 9727
#> # ℹ 993 more rows
#>
#> $sssy
#> # A tibble: 1,003 × 4
#> pnr barnmak speciale honuge
#> <chr> <int> <chr> <chr>
#> 1 nc_pcos_1 0 54 2101
#> 2 nc_pcos_2 0 54 1901
#> 3 nc_pcos_3 0 54 1901
#> 4 108684730664 0 10022 0830
#> 5 982144017357 0 88475 1942
#> 6 672580814975 0 83575 1049
#> 7 439008110445 1 86409 2421
#> 8 489714666740 0 42818 1103
#> 9 155331797020 0 67148 0714
#> 10 777951655096 0 62545 2221
#> # ℹ 993 more rows
#>
#> $lab_forsker
#> # A tibble: 1,003 × 4
#> patient_cpr samplingdate analysiscode value
#> <chr> <chr> <chr> <dbl>
#> 1 nc_pcos_1 20210101 NPU27300 48
#> 2 nc_pcos_2 20190101 NPU03835 6.5
#> 3 nc_pcos_3 20190101 NPU03835 6.5
#> 4 108684730664 20200807 NPU27300 139.
#> 5 982144017357 20161009 NPU88475 128.
#> 6 672580814975 20200306 NPU03835 29.3
#> 7 439008110445 20171223 NPU03835 42.7
#> 8 489714666740 20250124 NPU42818 164.
#> 9 155331797020 20240422 NPU67148 70.4
#> 10 777951655096 20210827 NPU62545 18.4
#> # ℹ 993 more rows
#>