Ha Na Cho

According to our database, Ha Na Cho authored at least 12 papers between 2022 and 2026.

Collaborative distances:

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

2026

EngageTriBoost: Predictive Modeling of User Engagement in Digital Mental Health Intervention Using Explainable Machine Learning.

Ha Na Cho, Daniel Eisenberg, Cheryl A. King, Kai Zheng

CoRR, April, 2026

Resource-Conscious Modeling for Next- Day Discharge Prediction Using Clinical Notes.

Ha Na Cho, Sairam Sutari, Alexander Lopez, Hansen Bow, Kai Zheng

CoRR, April, 2026

A Safety-Aware Role-Orchestrated Multi-Agent LLM Framework for Behavioral Health Communication Simulation.

Ha Na Cho

CoRR, April, 2026

Consumer-to-Clinical Language Shifts in Ambient AI Draft Notes and Clinician-Finalized Documentation: A Multi-level Analysis.

Ha Na Cho, Yawen Guo, Sairam Sutari, Emilie Chow, Steven Tam, Danielle Perret, Deepti Pandita, Kai Zheng

CoRR, March, 2026

Building Safe and Deployable Clinical Natural Language Processing under Temporal Leakage Constraints.

Ha Na Cho, Sairam Sutari, Alexander Lopez, Hansen Bow, Kai Zheng

CoRR, February, 2026

What Drives Length of Stay After Elective Spine Surgery? Insights from a Decade of Predictive Modeling.

Ha Na Cho, Seungmin Jeong, Yawen Guo, Alexander Lopez, Hansen Bow, Kai Zheng

CoRR, February, 2026

2025

When AI Writes Back: Ethical Considerations by Physicians on AI-Drafted Patient Message Replies.

Di Hu, Yawen Guo, Ha Na Cho, Emilie Chow, Dana B. Mukamel, Dara Sorkin, Andrew Reikes, Danielle Perret, Deepti Pandita, Kai Zheng

CoRR, August, 2025

SurgeryLSTM: A Time-Aware Neural Model for Accurate and Explainable Length of Stay Prediction After Spine Surgery.

Ha Na Cho, Sairam Sutari, Alexander Lopez, Hansen Bow, Kai Zheng

CoRR, July, 2025

Barriers to Digital Mental Health Services Among College Students.

Ha Na Cho, Kyuha Jung, Daniel Eisenberg, Cheryl A. King, Kai Zheng

Proceedings of the MEDINFO 2025 - Healthcare Smart × Medicine Deep, 2025

2024

Explainable predictions of a machine learning model to forecast the postoperative length of stay for severe patients: machine learning model development and evaluation.

Ha Na Cho, Imjin Ahn, Hansle Gwon, Hee-Jun Kang, Yunha Kim, Hyeram Seo, Heejung Choi, Minkyoung Kim, JiYe Han, Gaeun Kee, Seohyun Park, Tae Joon Jun, Young-Hak Kim

BMC Medical Informatics Decis. Mak., December, 2024

LDP-GAN : Generative adversarial networks with local differential privacy for patient medical records synthesis.

Hansle Gwon, Imjin Ahn, Yunha Kim, Hee-Jun Kang, Hyeram Seo, Heejung Choi, Ha Na Cho, Minkyoung Kim, JiYe Han, Gaeun Kee, Seohyun Park, Kye Hwa Lee, Tae Joon Jun, Young-Hak Kim

Comput. Biol. Medicine, January, 2024

2022

RIDAB: Electronic medical record-integrated real world data platform for predicting and summarizing interactions in biomedical research from heterogeneous data resources.

Yunha Kim, Imjin Ahn, Ha Na Cho, Hansle Gwon, Hee-Jun Kang, Hyeram Seo, Heejung Choi, Kyu-Pyo Kim, Tae Joon Jun, Young-Hak Kim

Comput. Methods Programs Biomed., 2022