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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Published in:2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN) pp. 356 - 360
Main Authors: Rohith, Suram, Kalaiselvi, K., Jawanth Reddy, K., Venkata Rami Reddy, V.J.
Format: Conference Proceeding
Language:English
Published: IEEE 03.05.2024
Subjects:
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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Abstract 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.
AbstractList 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.
Author Kalaiselvi, K.
Jawanth Reddy, K.
Rohith, Suram
Venkata Rami Reddy, V.J.
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  surname: Venkata Rami Reddy
  fullname: Venkata Rami Reddy, V.J.
  email: vr1269@srmist.edu.in
  organization: SRM Institute of Science and Technology,Department of Networking and Communications,Chennai,India
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SubjectTerms Computational modeling
Data models
hospital recommendation
Hospitals
KNN
machine learning decision tree algorithm
Medical diagnosis
Pervasive computing
Social networking (online)
Sociology
Title A Symptom-based Disease Diagnosis: A Pre-Classification ML Approach
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