Works (2)

Updated: July 5th, 2023 14:31

2021 article

ImputEHR: A Visualization Tool of Imputation for the Prediction of Biomedical Data

Zhou, Y.-H., & Saghapour, E. (2021, July 2). Frontiers in Genetics, Vol. 7.

By: Y. Zhou n & E. Saghapour n

author keywords: electronic health records; imputation; gradient boosting; prediction; decision trees
topics (OpenAlex): Machine Learning in Healthcare; Mental Health Research Topics; Health, Environment, Cognitive Aging
TL;DR: A new graphical tool, ImputEHR, is created that allows implementation of a range of simple and sophisticated data imputation approaches and enables data exploration for informed decision-making, as well as implementing machine learning prediction tools for response data selected by the user. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 2, 2021

2020 article

Exploring the Limits of Combined Image/'omics Analysis for Non-cancer Histological Phenotypes

Gallins, P., Saghapour, E., & Zhou, Y.-H. (2020, October 23). Frontiers in Genetics, Vol. 11.

By: P. Gallins n, E. Saghapour n & Y. Zhou n

author keywords: imaging; genomics; pathology; prediction; integration; histology; machine learning; embedding
topics (OpenAlex): AI in cancer detection; Radiomics and Machine Learning in Medical Imaging; Gene expression and cancer classification; Bioinformatics and Genomic Networks
TL;DR: This study surveys the evidence for genomic association and prediction of histology, and uses the results to test the limits of prediction accuracy using machine learning methods applied to the imaging data, genomics data, and their combination. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: November 24, 2020

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