2024
DOI: 10.3991/ijoe.v20i01.45029
|View full text |Cite
|
Sign up to set email alerts
|

Evaluation of a Chatbot Powered by ChatGPT for the Preliminary Diagnosis of Dengue

Raúl Jáuregui-Velarde,
Domingo Hernández Celis,
Pedro Molina-Velarde
et al.

Abstract: Dengue poses a public-health challenge in several regions. Early detection is essential to reduce the impact of a condition, and artificial intelligence (AI) and chatbots provide new opportunities to enhance diagnosis. This study evaluates the effectiveness of integrating a chatbot with ChatGPT version GPT-3.5 for the preliminary diagnosis of dengue and its contribution to timely detection. To evaluate this, two types of tests were conducted using a dataset of 30 dengue cases. In the first test, the chatbot wa… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 26 publications
0
1
0
Order By: Relevance
“…𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛 = 𝑇𝑃 𝑇𝑃 + 𝐹𝑃 (1) Sensitivity: evaluates the ability of the system to positively detect true disease among all disease cases. The higher the sensitivity, the fewer false negatives [26]. As sensitivity increases, the likelihood of false negatives decreases.…”
Section: Performance Metricsmentioning
confidence: 99%
“…𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛 = 𝑇𝑃 𝑇𝑃 + 𝐹𝑃 (1) Sensitivity: evaluates the ability of the system to positively detect true disease among all disease cases. The higher the sensitivity, the fewer false negatives [26]. As sensitivity increases, the likelihood of false negatives decreases.…”
Section: Performance Metricsmentioning
confidence: 99%