A Symptom-based Disease Diagnosis: A Pre-Classification ML Approach

In emergency hospitals, the hospital conveyance framework is seen as an important component of the clinical, financial, and executive well-being areas. This study incorporates Artificial Intelligence (AI) techniques to assess and investigate cases of various ailments that occur in low-income familie...

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Veröffentlicht in:2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN) S. 356 - 360
Hauptverfasser: Rohith, Suram, Kalaiselvi, K., Jawanth Reddy, K., Venkata Rami Reddy, V.J.
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 03.05.2024
Schlagworte:
Computational modeling
Data models
hospital recommendation
Hospitals
KNN
machine learning decision tree algorithm
Medical diagnosis
Pervasive computing
Social networking (online)
Sociology
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Zusammenfassung:In emergency hospitals, the hospital conveyance framework is seen as an important component of the clinical, financial, and executive well-being areas. This study incorporates Artificial Intelligence (AI) techniques to assess and investigate cases of various ailments that occur in low-income families. The proposed system utilizes unstructured and newly presented hospital data by applying the Machine Learning Certificate Tree computation. Mining anticipates hospitalization this study proposes a data-driven, scalable alternative to conventional diagnostic techniques by addressing the issues like unbalanced data and guaranteeing model interpretability.
DOI:10.1109/ICPCSN62568.2024.00062