research
∙
03/25/2023
Unsupervised Feature Selection to Identify Important ICD-10 Codes for Machine Learning: A Case Study on a Coronary Artery Disease Patient Cohort
The use of International Classification of Diseases (ICD) codes in healt...
share
research
∙
02/09/2023
Machine Learning Capability: A standardized metric using case difficulty with applications to individualized deployment of supervised machine learning
Model evaluation is a critical component in supervised machine learning ...
research
∙
06/13/2022
Prostate Cancer Malignancy Detection and localization from mpMRI using auto-Deep Learning: One Step Closer to Clinical Utilization
Automatic diagnosis of malignant prostate cancer patients from mpMRI has...
research
∙
12/28/2021
The full rank condition for sparse random matrices
We derive a sufficient condition for a sparse random matrix with given n...
research
∙
02/10/2020
The random 2-SAT partition function
We show that throughout the satisfiable phase the normalised number of s...
research
∙
04/04/2019
Segmentation of the Prostatic Gland and the Intraprostatic Lesions on Multiparametic MRI Using Mask-RCNN
Prostate cancer (PCa) is the most common cancer in men in the United Sta...
research
∙
03/29/2019
A Deep Dive into Understanding Tumor Foci Classification using Multiparametric MRI Based on Convolutional Neural Network
Data scarcity has refrained deep learning models from making greater pro...
research
∙
03/04/2019
Similarity-based Random Survival Forest
Predicting the time to a clinical outcome for patients in intensive care...
research
∙
11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
research
∙
07/26/2017