E-LIB Suche - Ergebnisse für: Lakshya Singhal

1

Computational investigation for deformation of lipid membra..:

Mahata, Paritosh ; Singhal, Lakshya ; Prasad, Ravi Kant...
Materials Today: Proceedings. , 2022

Link: https://doi.org/10.1016/..

2

eARDS: A multi-center validation of an interpretable machin..:

Singhal, Lakshya ; Garg, Yash ; Yang, Philip...
PLOS ONE. 16 (2021) 9 - p. e0257056 , 2021

Link: https://doi.org/10.1371/..

3

[Re] Training Binary Neural Networks using the Bayesian Lea..:

Prateek Garg ; Lakshya Singhal ; Ashish Sardana
doi:10.5281/zenodo.4716863. , 2021

Link: https://zenodo.org/recor..

4

eARDS: A multi-center validation of an interpretable machin..:

Lakshya Singhal ; Yash Garg ; Philip Yang...
https://doi.org/10.1371/journal.pone.0257056. , 2021

Link: https://doi.org/10.1371/..

5

prateekstark/training-binary-neural-network: training-binar..:

Prateek Garg ; Lakshya Singhal
https://github.com/prateekstark/training-binary-neural-network/tree/v1.0. , 2021

Link: https://zenodo.org/recor..

6

Model performance and feature importance:

Lakshya Singhal (11478546) ; Yash Garg (11478549) ; Philip Yang (11478552)...
https://figshare.com/articles/figure/Model_performance_and_feature_importance_/16678908. , 2021

Link: https://doi.org/10.1371/..

7

Characteristic analysis of the data:

Lakshya Singhal (11478546) ; Yash Garg (11478549) ; Philip Yang (11478552)...
https://figshare.com/articles/figure/Characteristic_analysis_of_the_data_/16678902. , 2021

Link: https://doi.org/10.1371/..

8

Ranking of important features in the eARDS model sorted fro..:

Lakshya Singhal (11478546) ; Yash Garg (11478549) ; Philip Yang (11478552)...
https://figshare.com/articles/journal_contribution/Ranking_of_important_features_in_the_eARDS_model_sorted_from_highest_to_lowest_importance_/16678896. , 2021

Link: https://doi.org/10.1371/..

9

The proportion of missing values for each variable across t..:

Lakshya Singhal (11478546) ; Yash Garg (11478549) ; Philip Yang (11478552)...
https://figshare.com/articles/journal_contribution/The_proportion_of_missing_values_for_each_variable_across_the_three_datasets_/16678890. , 2021

Link: https://doi.org/10.1371/..

10

Consort diagram of the training dataset (CRD):

Lakshya Singhal (11478546) ; Yash Garg (11478549) ; Philip Yang (11478552)...
https://figshare.com/articles/figure/Consort_diagram_of_the_training_dataset_CRD_/16678887. , 2021

Link: https://doi.org/10.1371/..

11

Analysis of model performance over 6-hour and 12-hour predi..:

Lakshya Singhal (11478546) ; Yash Garg (11478549) ; Philip Yang (11478552)...
https://figshare.com/articles/dataset/Analysis_of_model_performance_over_6-hour_and_12-hour_prediction_horizon_/16678920. , 2021

Link: https://doi.org/10.1371/..

12

Analysis of model performance on the hold-out dataset again..:

Lakshya Singhal (11478546) ; Yash Garg (11478549) ; Philip Yang (11478552)...
https://figshare.com/articles/dataset/Analysis_of_model_performance_on_the_hold-out_dataset_against_ARDS_severity_/16678926. , 2021

Link: https://doi.org/10.1371/..

13

Analysis of the clinical LIPS benchmark across the three da..:

Lakshya Singhal (11478546) ; Yash Garg (11478549) ; Philip Yang (11478552)...
https://figshare.com/articles/dataset/Analysis_of_the_clinical_LIPS_benchmark_across_the_three_datasets_/16678935. , 2021

Link: https://doi.org/10.1371/..

14

Characteristics of patients in the datasets:

Lakshya Singhal (11478546) ; Yash Garg (11478549) ; Philip Yang (11478552)...
https://figshare.com/articles/dataset/Characteristics_of_patients_in_the_datasets_/16678914. , 2021

Link: https://doi.org/10.1371/..

15

Analysis of model performance on the hold-out CRD dataset a..:

Lakshya Singhal (11478546) ; Yash Garg (11478549) ; Philip Yang (11478552)...
https://figshare.com/articles/dataset/Analysis_of_model_performance_on_the_hold-out_CRD_dataset_across_demographics_/16678929. , 2021

Link: https://doi.org/10.1371/..