Summary of Understanding Clinical Decision-making in Traditional East Asian Medicine Through Dimensionality Reduction: An Empirical Investigation, by Hyojin Bae et al.
Understanding Clinical Decision-Making in Traditional East Asian Medicine through Dimensionality Reduction: An Empirical Investigation
by Hyojin Bae, Bongsu Kang, Chang-Eop Kim
First submitted to arxiv on: 29 Sep 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The study investigates how Traditional East Asian Medicine (TEAM) practitioners make decisions by analyzing pattern identification (PI) through dimensionality reduction. The researchers focus on the Eight Principle Pattern Identification (EPPI) system and use empirical data from the Shang-Han-Lun to explore the importance of prioritizing the Exterior-Interior pattern in diagnosis and treatment selection. They test three hypotheses: whether the Ext-Int pattern contains the most information about patient symptoms, represents the most abstract and generalizable symptom information, and facilitates the selection of appropriate herbal prescriptions. Employing quantitative measures such as the abstraction index, cross-conditional generalization performance, and decision tree regression, the results demonstrate that the Exterior-Interior pattern represents the most abstract and generalizable symptom information, contributing to the efficient mapping between symptom and herbal prescription spaces. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This study looks at how doctors in Traditional East Asian Medicine make decisions. They use a special way of looking at symptoms called pattern identification (PI) to figure out what’s going on with patients. The researchers looked at an old book called the Shang-Han-Lun to see if they could find any patterns that would help them understand why certain treatments work better than others. They wanted to know if one type of pattern, called the Exterior-Interior pattern, was more important than others in making diagnoses and choosing treatments. By using special tools like charts and graphs, they found that this one pattern is really good at helping doctors make sense of symptoms and choose the right medicines. |
Keywords
» Artificial intelligence » Decision tree » Dimensionality reduction » Generalization » Regression
