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All Journal International Journal of Public Health Science (IJPHS) SEMAR (Jurnal Ilmu Pengetahuan, Teknologi, dan Seni bagi Masyarakat) Smart Society Empowerment Journal
Subandi Subandi
Universitas Sebelas Maret
Humanities Education Environmental Science Health Professions Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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Journal : International Journal of Public Health Science (IJPHS)

 1 
Evaluation of cerebrovascular disease risk with carotid ultrasonography imaging in artificial intelligence framework Rivan Danuaji; Subandi Subandi; Stefanus Erdana Putra; Muhammad Hafizhan
International Journal of Public Health Science (IJPHS) Vol 12, No 2: June 2023
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijphs.v12i2.22285

Abstract

Carotid plaque is a biomarker of generalized atherosclerosis, and may predict ischemic stroke. Carotid intima-media thickness (C-IMT) measurement with ultrasonography imaging could capture the condition of carotid plaque. However, manual measurement of C-IMT is observer- dependent, resulting in observer bias and low reproducibility. In this study, we develop artificial intelligence (AI) framework that could automatically measure the C-IMT, and compared it with C-IMT measured by board of expert. This is a retrospective study done in Dr. Moewardi General Hospital, Surakarta, Indonesia. Carotid B-mode ultrasonography images were measured by panel of expert and by AI. After annotation process on Neurabot platform, AI could detect region of interest (ROI), and would do segmentation on the area to measure C-IMT autonomously. Dependent T-test was used to evaluate validity, and Cronbach’s alpha was used to find the reliability of C-IMT measured by panel of expert and AI. There was strong correlation (r=0.874; p=0.014) on dependent t-test for C-IMT measured by AI with C-IMT measured by board of expert. The internal consistency reliability coefficients (Cronbach’s alpha) were 0.938 and 0.909, for pretest and posttest, respectively. We also analyzed the test-retest reliability by comparing pretest and posttest score with dependent t-test, and we observed strong correlation with r=0.871 (p=0.000). AI developed on Neurabot platform are valid and reliable to measure C-IMT.
Quality of life in epilepsy: comparison between Indonesian version of QOLIE-10 and QOLIE-31 Diah Kurnia Mirawati; Lestari Handayani; Subandi Subandi; Muhammad Hafizhan; Stefanus Erdana Putra
International Journal of Public Health Science (IJPHS) Vol 12, No 3: September 2023
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijphs.v12i3.23043

Abstract

Quality of Life in Epilepsy Inventory 10 (QOLIE-10) and QOLIE-31 is used to measure patient’s quality of life. While longer version of QOLIE-31 is thought to have higher validity and reliability, QOLIE-10 is shorter and more practical to use in clinical setting. This study aimed to compare Indonesian version of QOLIE-10 and QOLIE-31. This was a cross sectional study conducted at Dr. Moewardi General Hospital, Surakarta, Indonesia. Participant were asked to complete the Indonesian version of QOLIE-10 and QOLIE-31, and data obtained then analysed to find the correlation between QOLIE-10 and QOLIE-31. A total of 51 epilepsy patients were included on this study. We observed correlation of 0.41 to 0.84 (p<0.05) for each item of QOLIE-10 with their respective QOLIE-31 subscale. We also found correlation value of 0.898 (p=.000) between total score of QOLIE-10 and QOLIE-31 showing strong positive correlation of two questionnaire. Independent T-sample test on QOLIE-10 and QOLIE-31 T-score result of p=.361, showing no statistical difference between two questionnaires. Frequency of seizure is correlated with patients’ quality of life. QOLIE-10 has strong positive correlation to QOLIE-31, which make it a useful tool to assess epilepsy patients’ quality of life.
Co-Authors Budianto, Pepi Diah Kurnia Mirawati Hanindia Riani Prabaningtyas Ira Ristinawati Lestari Handayani Muhammad Hafizhan Raden Andi Ario Tedjo Rivan Danuaji Stefanus Erdana Putra