Health Condition 1: A920- Chikungunya virus disease Health Condition 2: A90- Dengue fever [classical dengue] Health Condition 3: J09X- Influenza due to identified novelinfluenza A virus Health Condition 4: J118- Influenza due to unidentified influenza virus with other manifestations Health Condition 5: J118- Influenza due to unidentified influenza virus with other manifestations Health Condition 6: A279- Leptospirosis, unspecified Health Condition 7: B509- Plasmodium falciparum malaria, unspecif
Conditions
Interventions
Intervention1: AI Diagnostic Tool: Diagnostic tool developed using artificial intelligence for the diagnosis of tropical fevers
Intervention2: NIL: NIL
Control Intervention1: Standard Confirmatory Tes
Sponsors
Manipal Academy of Higher Education
Eligibility
Inclusion criteria
Inclusion criteria: Patients provisionally diagnosed with the tropical fever of interest with required clinical and laboratory parameters
Exclusion criteria
Exclusion criteria: Children, patients without confirmed diagnosis, mixed infections, patients on immunosuppressants, provisional and confirmed diagnosis with specific conditions like pneumonia, urinary tract infection, acute febrile disease due to sepsis
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The outcome of evaluation for AI-based diagnostic models performance is determined based on model performance metrics such as sensitivity, specificity, accuracy, kappa value, hamming loss, area under receiver operating characteristicsTimepoint: 2 time points Day of admission and after three days of admission | — |
Secondary
| Measure | Time frame |
|---|---|
| NILTimepoint: NIL | — |
Countries
India
Contacts
Public ContactDr Girish Thunga
Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal
Outcome results
None listed