“… Aim of the study | Method used | Criteria used | Case study | [ 31 ] | Evaluation and benchmarking methodology to select the best classifiers for COVID-19 diagnosis | Entropy–TOPSIS | - Main criteria: time-complexity group reliability, reliability
- Sub-criteria: precision, f1-score, recall, average accuracy, error rate, TP, TN, FP, FN
| Public data sources from hospitals and physicians of chest X-ray and CT images for positive or suspected patients of COVID-19, MERS, SARS, and ARDS. |
[ 32 ] | - Characterise the most important risk factors of corona virus
- Real-time monitoring of pandemic prevalence
| TOPSIS GMDH (Group Method of Data Handling) | Important risk factors of COVID-19 | Confirmed and death cases collected from website of (WHO) and some Government report between 31-Dec-2019 to 05-Apr-2020. |
[ 33 ] | Remedial activity prioritisation | AHP | Social distancing, Hygiene, Shared individual things, Needless of touch-things, items of daily fresh food, and Immunity/fitness | Guidelines and safety measures from WHO and governing organisations of diverse countries |
[ 34 ] | COVID-19 patient prioritisation dependent on their health conditions | AHP and VIKOR | laboratory examinations (CRP, eosinophil ratios, eosinophils, white blood cell count, lymphocyte ratios, lymphocytes, neutrophil ratios, neutrophils) | Six patients with COVID-19 (included 1 Asymptomatic Carrier with COVID-19) |
The presented Study | Prioritisation and detection of asymptomatic carriers with COVID-19 | - Two feature selection approaches: automatic mechanisms (ANOVA, ) and knowledge-driven (expert judgment)
- ENTROPY–TOPSIS (MCDM)
- Objective validation
| Multi-laboratory Characteristics (White blood cell count, count of Neutrophil, count of Lymphocyte, Haemoglobin, count of Blood pla... |
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