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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) JSFK (Jurnal Sains Farmasi & Klinis)
Nguyen, Thang
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Biochemistry, Genetics & Molecular Biology Computer Science & IT Engineering Health Professions Immunology & microbiology Medicine & Pharmacology Public Health

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Mortality prediction of COVID-19 patients using supervised machine learning Khuluq, Husnul; Astagiri Yusuf, Prasandhya; Aryani Perwitasari, Dyah; Nguyen, Thang
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i4.pp4472-4479

Abstract

Hospitalized patients with COVID-19 are at higher risk of mortality. Machine learning (ML) algorithms have been proposed as a possible strategy for predicting mortality rates among patients hospitalized with COVID-19. This study analyzed various ML algorithms and identified the best model to predict COVID-19 mortality based on demographic, clinical, and laboratory data collected at registration. Data from 4,314 eligible patients (3,384 survivors and 930 who died) was collected from the register of three hospitals in Yogyakarta province, Indonesia, based on the confirmed predictors. Next, ML algorithms were utilized to predict mortality. Finally, the confusion matrix was used to evaluate how effective the models performed. The best five predictors from 26 features were myocardial infarction, SpO2, neutrophil, D dimer, and creatinine. The results indicate that the random forest algorithm showed better performance than other ML algorithms in terms of accuracy, sensitivity, precision, specificity, and area under the curve (AUC), achieving values of 84.15%, 84.0%, 84.1%, 83.9%, and 90.02%, respectively. Implementing ML techniques can accurately predict the mortality rate associated with COVID-19. Therefore, this predictive model can help clinicians and hospitals predict COVID patients with a greater risk of death and effectively target more appropriate treatments.
Comparative Economic and Clinical Utility of Adding Candesartan for Hypertension Management Fitria, Najmiatul; Nguyen, Thang; Machlaurin, Afifah; Al Rizka, Nabila; Ayu Juwita, Dian
JSFK (Jurnal Sains Farmasi & Klinis) Vol 11 No 2 (2024): J Sains Farm Klin 11(2), August 2024
Publisher : Fakultas Farmasi Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jsfk.11.2.111-117.2024

Abstract

Introduction: Antihypertensive drugs require high costs because they are used over a long period. Therefore, consideration is needed in drug selection requirements, effectiveness, and price. This study aimed to see the beneficial results of hypertension therapy and the non-medical costs incurred by patients using cost-utility analysis (CUA). Method: This research was a prospective study. The incremental Cost-Utility Ratio (ICUR) of antihypertensive treatment was calculated using cost-utility data obtained through EQ-5D-5L questionnaires from outpatients at Universitas Andalas Hospital in January- March 2023 who met the inclusion and exclusion criteria. The costs used were from a patient perspective, consisting of direct medical and non-medical costs. This study compared standard treatment (amlodipine) with the addition of candesartan. Results: The number of respondents in this study was 67, consisting of 23 respondents (34.33%) using amlodipine alone and 44 respondents (65.67%) using the amlodipine-candesartan combination. The ICUR value obtained was IDR7,318,674/QALY. The difference in the average utility value of the amlodipine-candesartan combination with amlodipine alone is -0.02, and the difference in cost is -IDR12,224. Based on the cost-utility diagram, the amlodipine-candesartan combination group is included in the southwest quadrant (quadrant III), which illustrates that the cost required for the amlodipine-candesartan combination group is lower than the cost of the amlodipine single treatment group and the outcome is also not better (slightly lower or the same). Conclusion: It was recommended to prioritize using amlodipine alone for hypertension management, as it provides similar outcomes to the amlodipine-candesartan combination while incurring lower costs.
Co-Authors Al Rizka, Nabila Astagiri Yusuf, Prasandhya Dian Ayu Juwita Dyah Aryani Perwitasari Khuluq, Husnul Machlaurin, Afifah Najmiatul Fitria