Automated Organization Profile

Bannari Amman Institute of Technology

Current S-Index

3.6

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.8

Average Dataset Index per dataset

Total Datasets

2

Total datasets in this organization

Average FAIR Score

73.1%

Average FAIR Score per dataset

Total Citations

0

Total citations to the organization's datasets

Total Mentions

0

Total mentions of the organization's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Variational Quantum Classifier-based early identification and classification of chronic kidney disease using Sparse autoencoder and Lasso Shrinkage

The dataset used in this project includes patient data relevant to the identification of chronic kidney disease, including features such as:    Age    Blood pressure    Specific blood markers (e.g., creatinine, hemoglobin)    Glomerular filtration rate (GFR)    Other medical attributes used for diagnosing CKDFile structure of the dataset:    chronic_kidney_disease.csv: Contains the labeled medical data for CKD classification.

Authors

  • P.Parthasarathi
0 Citations0 Mentions73% FAIR1.8 Dataset Index
10.5281/zenodo.137512412024

Variational Quantum Classifier-based early identification and classification of chronic kidney disease using Sparse autoencoder and Lasso Shrinkage

The dataset used in this project includes patient data relevant to the identification of chronic kidney disease, including features such as:    Age    Blood pressure    Specific blood markers (e.g., creatinine, hemoglobin)    Glomerular filtration rate (GFR)    Other medical attributes used for diagnosing CKDFile structure of the dataset:    chronic_kidney_disease.csv: Contains the labeled medical data for CKD classification.

Authors

  • P.Parthasarathi
0 Citations0 Mentions73% FAIR1.8 Dataset Index
10.5281/zenodo.137512422024