SEM Model in Analysis of the Relationship of Severity Diagnosis with Breast Cancer Recovery
M. Nadjib Bustan1, M. Arif Tiro2, Suwardi Annas3, Bobby Poerwanto4
1M. Nadjib Bustan, Department of Statistics, Universitas Negeri Makassar, Makassar City, Indonesia.
2M. Arif Tiro, Department of Statistics, Universitas Negeri Makassar, Makassar City, Indonesia.
3Suwardi Annas, Department of Statistics, Universitas Negeri Makassar, Makassar City, Indonesia.
4Bobby Poerwanto, Department of Informatics Engineering, Universitas Muslim Indonesia, Makassar, Indonesia.
Manuscript received on 11 January 2020 | Revised Manuscript received on 07 February 2020 | Manuscript Published on 20 February 2020 | PP: 301-303 | Volume-9 Issue-3S January 2020 | Retrieval Number: C10700193S20/2020©BEIESP | DOI: 10.35940/ijitee.C1070.0193S20
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Diagnosis of the severity of breast cancer has a series of relationships with the prognosis of recovery along with factors of patient history, severity, treatment, and nursing. The problem is how the pattern of relationships between all these factors. This study aims to figure out the pathway model of the relationship between the severities of breast cancer with recovery along with other related factors. Modeling of SEM (Structural Equation Modeling) drew204 patients diagnosed with breast cancer in Makassar hospitals during 2018. Data were collected from the Medical Record, Hospital Information System, and hospital pathology diagnosis. Data analyzed consisted of severity as exogenous variable, recovery as endogenous variable, and latent variables along with their indicators: medical history, clinical diagnosis and pathological diagnosis (topography, grade, behavior), treatment, and nursing factors. The result of SEM in measurement model test between severity and pathology diagnosis indicators found the probability values: severity with grade (p value 0.001), behavior (p value 0.275), and topography (p value 0.276).Structural model test between severity and recovery got a probability value of 0.336.The suitability test of the model found Chi-square value of 213,657, df 53, p value 0.001; CMIN/DF 44.031; RMSEA 0.122.Correlation test between patient history and severity 0.037; nursing with severity of -0.070; and history of patients with nursing -0.024. The structural model test do not show a significant effect of severity toward recovery; the suitability test of the model is less able to explain its suitability with the data; and the correlation test is weak. The suggestion for remodeling to get suitable model which supported by empirical data.
Keywords: SEM, Diagnosis, Severity, Recovery, Breast Cancer.
Scope of the Article: Design and Diagnosis