Sym-Diagnose: Symptoms based Disease Diagnosis & Healthcare Suggestion

This paper introduces a medical disease prediction chatbot developed using the Gemini API. The chatbot aims to accurately predict diseases and provide appropriate remedies based on user input. It utilizes machine learning models and natural language processing to interpret user symptoms for preliminary medical assessments. The chatbot improves healthcare accessibility by offering immediate medical advice and potential remedies without the need for an initial in-person consultation. It is designed to complement professional medical advice, emphasizing the importance of human oversight in critical medical decision-making processes. This research contributes to the field of AI in healthcare, demonstrating the feasibility and benefits of using intelligent chatbots for medical disease prediction and initial triaging. It also sets the stage for future improvements in accuracy, reliability, and user experience.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/icaiqsa64000.2024.10882221
Citations
1
Primary Topic
Medical Case Reports and Studies
Type
article
Field-Weighted Citation Impact
0.57
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Sym-Diagnose: Symptoms based Disease Diagnosis & Healthcare Suggestion

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1 citations
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Sym-Diagnose: Symptoms based Disease Diagnosis & Healthcare Suggestion

Rohit Sharad Kalaskar, Kavita Joshi, Ruchi Choudhary, Rohit Jadhav, Hardik Rokde, Bhargav Milind Rokade, Shrey Santosh Rupnavar
article en
1 citations

Abstract

This paper introduces a medical disease prediction chatbot developed using the Gemini API. The chatbot aims to accurately predict diseases and provide appropriate remedies based on user input. It utilizes machine learning models and natural language processing to interpret user symptoms for preliminary medical assessments. The chatbot improves healthcare accessibility by offering immediate medical advice and potential remedies without the need for an initial in-person consultation. It is designed to complement professional medical advice, emphasizing the importance of human oversight in critical medical decision-making processes. This research contributes to the field of AI in healthcare, demonstrating the feasibility and benefits of using intelligent chatbots for medical disease prediction and initial triaging. It also sets the stage for future improvements in accuracy, reliability, and user experience.

Openalex Percentile: Top 26%
Medical Case Reports and Studies
0.57
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