CliniLiver: Leveraging Clinical Data for Liver Disease Prognosis

In an era defined by rapid change, the importance of precise medical prognoses cannot be overstated, and CliniLiver stands at the forefront of this critical endeavour. Leveraging clinical data, our innovative approach aims to predict the outcome of liver disease with unparalleled accuracy. By meticulously analysing patient baseline characteristics and metastases profiles, we've developed a sophisticated machine learning model capable of forecasting the occurrence of the of liver disease. Moreover, it aligns with broader efforts in predictive modelling using electronic health records, where studies have achieved impressive accuracy rates of 70-72% in anticipating individualized treatment responses for liver disease. CliniLiver represents a transformative leap forward in medical prognosis, offering the potential to revolutionize liver disease management through informed decisions with the presence of the liver disease.

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Publication Details

Published
2024-11-23
DOI
https://doi.org/10.1109/icec59683.2024.10837279
Citations
5
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.93
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article

CliniLiver: Leveraging Clinical Data for Liver Disease Prognosis

D. Kavitha, Gireesh Babu C N, Girisha Balaraju, Chandrashekhara K T et al.
5 citations
Liver Disease Diagnosis and Treatment
1.93
article

CliniLiver: Leveraging Clinical Data for Liver Disease Prognosis

D. Kavitha, Gireesh Babu C N, Girisha Balaraju, Chandrashekhara K T, Abhishek Reddy, B Indhuja
article en
5 citations

Abstract

In an era defined by rapid change, the importance of precise medical prognoses cannot be overstated, and CliniLiver stands at the forefront of this critical endeavour. Leveraging clinical data, our innovative approach aims to predict the outcome of liver disease with unparalleled accuracy. By meticulously analysing patient baseline characteristics and metastases profiles, we've developed a sophisticated machine learning model capable of forecasting the occurrence of the of liver disease. Moreover, it aligns with broader efforts in predictive modelling using electronic health records, where studies have achieved impressive accuracy rates of 70-72% in anticipating individualized treatment responses for liver disease. CliniLiver represents a transformative leap forward in medical prognosis, offering the potential to revolutionize liver disease management through informed decisions with the presence of the liver disease.

REVA University (IN)
Openalex Percentile: Top 12%
Liver Disease Diagnosis and Treatment
1.93
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