Changhee Lee

发表

Development of a Machine Learning Algorithm for Prediction of Complications and Unplanned Readmission Following Primary Anatomic Total Shoulder Replacements

M. van der Schaar, N. SooHoo, Akash A. Shah, 2022, Journal of shoulder and elbow arthroplasty.

Developing machine learning algorithms for dynamic estimation of progression during active surveillance for prostate cancer

M. van der Schaar, V. Gnanapragasam, Changhee Lee, 2022, npj Digital Medicine.

Survey: Strategies for Loss-Based Discrete-Time Hazard and Survival Function Estimation

Chunghyun Lee, Changhee Lee, Sungrae Cho, 2022, 2022 13th International Conference on Information and Communication Technology Convergence (ICTC).

Temporal Phenotyping using Deep Predictive Clustering of Disease Progression pdf

Mihaela van der Schaar, Changhee Lee, M. Schaar, 2020, ICML.

A Variational Information Bottleneck Approach to Multi-Omics Data Integration

Mihaela van der Schaar, Changhee Lee, M. Schaar, 2021, AISTATS.

Application of a novel machine learning framework for predicting non-metastatic prostate cancer-specific mortality in men using the Surveillance, Epidemiology, and End Results (SEER) database.

M. van der Schaar, V. Gnanapragasam, A. Alaa, 2021, The Lancet. Digital health.

Development of a Machine Learning Algorithm for Prediction of Complications and Unplanned Readmission Following Reverse Total Shoulder Arthroplasty

M. van der Schaar, N. SooHoo, Akash A. Shah, 2021, Journal of shoulder and elbow arthroplasty.

DeepHit: A Deep Learning Approach to Survival Analysis With Competing Risks

Changhee Lee, Mihaela van der Schaar, Jinsung Yoon, 2018, AAAI.

Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data

Changhee Lee, Mihaela van der Schaar, Jinsung Yoon, 2020, IEEE Transactions on Biomedical Engineering.

A Deep Learning Approach for Dynamic Survival Analysis with Competing Risks

Changhee Lee, Mihaela van der Schaar, M. Schaar, 2018 .

Development of a Novel, Potentially Universal Machine Learning Algorithm for Prediction of Complications After Total Hip Arthroplasty.

M. van der Schaar, N. SooHoo, Akash A. Shah, 2020, The Journal of arthroplasty.

A Novel, Potentially Universal Machine Learning Algorithm to Predict Complications in Total Knee Arthroplasty

M. van der Schaar, N. SooHoo, Akash A. Shah, 2021, Arthroplasty today.

Self-Supervision Enhanced Feature Selection with Correlated Gates

M. Schaar, Changhee Lee, F. Imrie, 2022, ICLR.

Development of a Machine Learning Algorithm for Prediction of Complications after Ankle Arthrodesis

N. SooHoo, Akash A. Shah, Sai K. Devana, 2022, Foot & ankle orthopaedics.

Domain-adapted large language models for classifying nuclear medicine reports

Junjie Hu, T. Bradshaw, Changhee Lee, 2023, ArXiv.

Development and External Validation of a Risk Calculator for Prediction of Major Complications and Readmission After Anterior Cervical Discectomy and Fusion

A. Upfill-Brown, E. Lord, N. SooHoo, 2022, Spine.

Prediction of major complications and readmission after lumbar spinal fusion: a machine learning-driven approach.

M. van der Schaar, E. Lord, N. SooHoo, 2021, World neurosurgery.

A risk calculator for prediction of C5 nerve root palsy after instrumented cervical fusion.

M. van der Schaar, A. Upfill-Brown, E. Lord, 2022, World neurosurgery.

SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data pdf

Mihaela van der Schaar, Alicia Curth, Changhee Lee, 2021, NeurIPS.

Estimation of Individual Treatment Effect in Latent Confounder Models via Adversarial Learning pdf

Changhee Lee, Mihaela van der Schaar, Nicholas Mastronarde, 2018, ArXiv.

Temporal Quilting for Survival Analysis

Ahmed M. Alaa, Mihaela van der Schaar, William R. Zame, 2019, AISTATS.

Prediction of good sleep with physical activity and light exposure: a preliminary study.

Sang Eun Lee, Changhee Lee, Eun Lee, 2022, Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine.

Machine learning-driven identification of novel patient factors for prediction of major complications after posterior cervical spinal fusion

M. van der Schaar, E. Lord, N. SooHoo, 2021, European Spine Journal.

Estimation of Individual Treatment Effect in Latent Confounder Models via Adversarial Learning

M. Schaar, Nicholas Mastronarde, Changhee Lee, 2018, ArXiv.