Joseph Finkelstein

Machine Learning Approaches for Early Prostate Cancer Prediction Based on Healthcare Utilization Patterns

Joseph Finkelstein, Wanting Cui, Tiphaine C. Martin, 2021, ICIMTH.

Usability Inspection of a Mobile Cancer Telerehabilitation System

Irena Parvanova, Joseph Finkelstein, Xingyue Huo, 2022, ICIMTH.

A Platform for Integrating and Sharing Cancer Stem Cell Data

Irena Parvanova, Joseph Finkelstein, Kirill Borziak, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Comparative Analysis of Public Data Sets to Identify Stemness Markers That Differentiate Liver Cancer Stem Cells

Joseph Finkelstein, Kirill Borziak, 2021, MIE.

Utilizing Shared Big Data to Identify Liver Cancer Dedifferentiation Markers

Joseph Finkelstein, Kirill Borziak, Kirill Borziak, 2022, ICIMTH.

Use of Artificial Intelligence for Predicting COVID-19 Outcomes: A Scoping Review

Joseph Finkelstein, Wanting Cui, Jinyan Lyu, 2022, ICIMTH.

Latent COVID-19 Clusters in Patients with Opioid Misuse

Keren Bachi, Joseph Finkelstein, Wanting Cui, 2021, ICIMTH.

Machine Learning to Predict Mortality and Critical Events in COVID-19 Positive New York City Patients

Riccardo Miotto, Kipp W. Johnson, Fayzan F. Chaudhry, 2020, medRxiv.