Research Article

A Dynamic Model for Imputing Missing Medical Data: A Multiobjective Particle Swarm Optimization Algorithm

Table 2

The characteristics of gastric cancer variables.

IDVariable nameVariable typeNotes

1SexNominal61 males and 19 females
2Birth yearIntervalMinimum = 1,305, maximum = 1,346
3EducationOrdinal(1) Illiterate, (2) underdiploma
4RaceOrdinal(1) Fars, (2) Kurd, (3) Turk
5PMHOrdinal(1) Hypertension (HTN), (2) coronary artery disease (CAD), (3) diabetes mellitus (DM), (4) DM + HTN, (5) DM + HTN + CAD, (6) HTN + CAD
6Age at diagnosisIntervalMinimum = 46, maximum = 87
7FH of gastric cancerOrdinalFamily history of gastric cancer: (1) first-degree relative (FDR), (2) second-degree relatives (SDR)
8Age at dx of family GCIntervalFamily’s age at diagnosis: minimum = 45, maximum = 82
9Hx of other GI cancerOrdinalHistory of other GI cancer
(1) First-degree relative
(2) Second-degree relatives
10Types of other GI cancerOrdinal(1) Small intestine, (2) liver, (3) esophagus, (4) large intestine
11Hx of non-GI cancerOrdinal(1) First-degree relative
(2) Second-degree relatives
12TreatmentOrdinal(1) Surgery, (2) surgery + chemo + radio, (3) chemo
13Cause of deathOrdinal(1) cancer, (2) MI, (3) PTE
14PathologyOrdinal(1) Adenocarcinoma, (2) inflammatory tumour, (3) mucinous adenocarcinoma, (4) neuroendocrine carcinoma, (5) signet ring cell carcinoma, (6) GIST tumour, (7) undifferentiated carcinoma
15AddictionNominal17 subjects: addicted, 63 subjects: non-addicted
16SurvivalNominal33 and 67 subjects pass away after one and two years, respectively