Catalyst Wire Dossier Catalyst Wire Dossier
CLINICAL_TRIALS research · 2025-01-13

Clinical Trial Update: Predicting Symptom Trajectories After Thoracoscopic Lung Cancer Surgery Using an Interpretable Machine Learning Model

View source ↗

Summary

An ongoing study applying an interpretable machine learning model to forecast postoperative symptom trajectories after thoracoscopic lung cancer surgery.

Upgrade for the full analysis, importance score, and drug timeline.

Diseases / indications

Snippet

Sponsor: Guangdong Provincial People's Hospital | Conditions: Lung Cancer | Status: NOT_YET_RECRUITING