Jong Ho Jhee

According to our database, Jong Ho Jhee authored at least 15 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Clinical Data Goes MEDS? Let's OWL make sense of it.

Alberto Marfoglia, Jong Ho Jhee, Adrien Coulet

CoRR, January, 2026

2025

BTOB-T: Bilateral orchesTrated deep learning framework based on proteogenOmics for drug-repositioning of Breast cancer Treatment.

Jong Ho Jhee, Hwiyeong Lee, Hyunmi Kim, Min-Young Song, Jeung Hee An, Hyunjung Shin, Byung Gon Kim, Soo Youn Lee

Comput. Biol. Medicine, 2025

Prédiction d'événements cliniques à partir des parcours de soins de patients représentés par des graphes de connaissances temporels.

Jong Ho Jhee, Alberto Megina, Pacôme Constant dit Beaufils, Matilde Karakachoff, Richard Redon, Alban Gaignard, Adrien Coulet

Proceedings of the 36es Journées francophones d'Ingénierie des Connaissances, 2025

Predicting Clinical Outcomes from Patient Care Pathways Represented with Temporal Knowledge Graphs.

Jong Ho Jhee, Alberto Megina, Pacôme Constant dit Beaufils, Matilde Karakachoff, Richard Redon, Alban Gaignard, Adrien Coulet

Proceedings of the Semantic Web - 22nd European Semantic Web Conference, 2025

2024

Representation and comparison of chemotherapy protocols with ChemoKG and graph embeddings.

Jong Ho Jhee, Alice Rogier, Dune Giraud, Emma Pinet, Brigitte Sabatier, Bastien Rance, Adrien Coulet

Proceedings of the 15th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, 2024

2023

Fast Prediction for Criminal Suspects through Neighbor Mutual Information-Based Latent Network.

Jong Ho Jhee, Myung Jun Kim, Myeonggeon Park, Jeongheun Yeon, Hyunjung Shin

Int. J. Intell. Syst., 2023

Multi-scale Heat Kernel Graph Network for Graph Classification.

Jong Ho Jhee, Jeongheun Yeon, Yoonshin Kwak, Hyunjung Shin

Proceedings of the Machine Learning, Optimization, and Data Science, 2023

Latent Inter-relation Augment between Crimes and Criminals using Factorization Machines.

Jeongheun Yeon, Jong Ho Jhee, Hyunjung Shin

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2023

Transformer-Based Gene Scoring Model for Extracting Representative Characteristic of Central Dogma Process to Prioritize Pathogenic Genes Applying Breast Cancer Multi-omics Data.

Jong Ho Jhee, Min-Young Song, Byung Gon Kim, Hyunjung Shin, Soo Youn Lee

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2023

Fast Prediction for Suspect Candidates from Criminal Networks.

Jong Ho Jhee, Myung Jun Kim, Myunggeon Park, Jeongheun Yeon, Yoonshin Kwak, Hyunjung Shin

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2023

2022

Graph Neural Networks with Stability and Discernability.

Jong Ho Jhee, Hyunjung Shin

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2022

2021

Polypharmacy side-effect prediction with enhanced interpretability based on graph feature attention network.

Sunjoo Bang, Jong Ho Jhee, Hyunjung Shin

Bioinform., 2021

2020

Corrections to "Comorbidity Scoring With Causal Disease Networks".

Jong Ho Jhee, Sunjoo Bang, Dong-Gi Lee, Hyunjung Shin

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

2019

Comorbidity Scoring with Causal Disease Networks.

Jong Ho Jhee, Sunjoo Bang, Dong-Gi Lee, Hyunjung Shin

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Disease gene identification based on generic and disease-specific genome networks.

Yonghyun Nam, Jong Ho Jhee, Junhee Cho, Ji-Hyun Lee, Hyunjung Shin

Bioinform., 2019