Exploring Hybrid Intelligence for Topic Interpretation in Colorectal Cancer Research: A Comparative Study of GPT-3.5 and Human Expertise

Colorectal cancer is a widespread disease that significantly impacts the health of individuals worldwide. Understanding the needs and concerns of those affected by this disease is crucial for improving patient outcomes and enhancing the quality of care. Patient web forums have emerged as valuable platforms for individuals to openly share their...

Exploiting multi-core parallelism on optimal decision trees

This paper presents a study that discusses how multi-threading can be used to improve the runtime performance of constructing optimal classification trees. Decision trees are popular for solving classification or regression problems in machine learning. Heuristic methods are used to build decision tree algorithms that produce models of high...