Kun-pin Wu - Publications

An explainable machine learning framework for computable physiologic risk representation in preanesthetic assessment: Development and external validation.

Journal: International journal of medical informatics

Published: April 28, 2026

Real-time clinical decision support system for early identification of infection and sepsis in the intensive care unit: a retrospective development and prospective deployment study.

Journal: BMJ quality & safety

Published: January 14, 2026

Explainable machine learning to predict muscle loss during radiotherapy for oral cavity cancer.

Journal: Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology

Published: January 12, 2026

Machine learning for predicting muscle loss after radiotherapy using clinical and toxicity data in oral cavity cancer.

Journal: European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery

Published: November 13, 2025

Machine learning enhanced acute heart failure phenotype prediction using natural language processing and random forest.

Journal: Frontiers in artificial intelligence

Published: July 12, 2025

Predicting blood pressure variability in hemodialysis using an explainable boosting machine model.

Journal: Clinical kidney journal

Published: April 11, 2025

Enhanced personalized prediction of baseball-related upper extremity injuries through novel features and explainable artificial intelligence.

Journal: Journal of sports sciences

Published: March 12, 2025

Androgen Deprivation Therapy-Induced Muscle Loss and Fat Gain Predict Cardiovascular Events in Prostate Cancer Patients.

Journal: Journal of cachexia, sarcopenia and muscle

Published: February 18, 2025

Thresholds of Body Composition Changes Associated with Survival During Androgen Deprivation Therapy in Prostate Cancer.

Journal: European urology open science

Published: October 07, 2024

Identifying threshold of CT-defined muscle loss after radiotherapy for survival in oral cavity cancer using machine learning.

Journal: European radiology

Published: July 01, 2024

Interpretable machine learning model based on clinical factors for predicting muscle radiodensity loss after treatment in ovarian cancer.

Journal: Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer

Published: January 25, 2024

SheddomeDB 2023: A Revision of an Ectodomain Shedding Database Based on a Comprehensive Literature Review and Online Resources.

Journal: Journal of proteome research

Published: July 17, 2023