Heeyoung Moon

Pattern-related profiles of acupuncture points for pain management

Da-Eun Yoon, Yoonjeong Seo, Heeyoung Moon, Shin Ho Kong et autres

In Traditional East Asian Medicine, acupoints are selected based on clinical symptoms and pattern identification. Since treatment plans target specific diseases and patterns, acupoints may be selected based on clinical indications or pattern-related considerations. This study aimed to examine the associations between …

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Acupoint nomenclature as a semantic body map: A quantitative linguistic analysis of landscape metaphor in standardized acupoint names

Da-Eun Yoon, Heeyoung Moon, In-Seon Lee, Younbyoung Chae

Medical knowledge is shaped not only by clinical practice but also by linguistic systems that organize and communicate bodily experience. In traditional East Asian medicine, acupoints are key therapeutic sites, yet the semantic structure of their names, which are rooted in classical …

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Defining non‑acupoints for sham control design in acupuncture trials

Richard Edmund Harris, Heeyoung Moon, In-Seon Lee, Younbyoung Chae

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Quantifying the therapeutic index of acupoints using measurements of effective and hazardous depths

Dha-Hyun Choi, Beomku Kang, Heeyoung Moon, Minjae Lee et autres

Background: Acupuncture needles are widely used to treat various medical conditions, but can occasionally lead to serious adverse events. The therapeutic index (TI), originally developed in pharmacology to quantify the safety margin between effective and toxic doses, provides a valuable potential framework …

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Psychophysical responses to needling depth using ultrasound imaging

Dha-Hyun Choi, Heeyoung Moon, Beomku Kang, Minjae Lee et autres

De-qi, a characteristic sensory phenomenon associated with acupuncture, is considered essential for its therapeutic efficacy. Although needling depth is widely recognized as a key factor influencing de-qi, few studies have quantitatively examined this relationship within anatomically defined safety boundaries. In this study, …

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Artificial Intelligence Based Clustering Algorithm for Pulse Diagnosis

Junsuk Kim, Won Joon Koh, Heeyoung Moon, Su Hyun Lim et autres

Background: In traditional medicine, pulse palpation is a unique diagnostic technique focusing on identifying patterns of symptoms through subjective assessment of bio-signals. However, its reliability and objectivity have been questioned. We developed an artificial intelligence-based algorithm for clustering doctors' diagnostic results using …

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Identifying key features for determining the patterns of patients with functional dyspepsia using machine learning

Heeyoung Moon, Da-Eun Yoon, Junsuk Kim, Younkuk Choi et autres

Background and aims: Pattern identification (PI) provides a basis for understanding disease symptoms and signs. The aims of this study are to extract features for identifying conventional PI types from the questionnaire data of patients with functional dyspepsia (FD) through supervised learning …

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Case Report: Improvement of functional dyspepsia using eight constitution acupuncture and eight constitution diet – A report of three cases

Nahyun Cho, Younkuk Choi, Heekyung Kim, Heeyoung Moon et autres

Background: Functional dyspepsia (FD) is a common gastrointestinal disorder affecting 10-20% of the global population. This case series aimed to report the clinical outcomes of three patients with FD who were treated with eight constitution acupuncture (ECA) and eight constitution diet (ECD), …

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Role of Traditional, Complementary, and Integrative Medicine in People with Limb Amputation: A Protocol for a Scoping Review

Kahyun Seo, Yoona Oh, Seon Hee Kim, Na Hyeon Lee et autres

People with limb amputation suffer from pain, psychological symptoms, and longterm disability. Traditional, complementary, and integrative medicine (TCIM) is increasingly being used for various health conditions worldwide. This study aims to identify the types of available evidence in TCIM in people with …

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Key Symptoms and Acupoint Selection for Functional Dyspepsia Pattern Types

Da-Eun Yoon, Heeyoung Moon, In‐Seon Lee, Younbyoung Chae

Objectives : Pattern identification is a unique diagnostic process in Traditional East Asian Medicine, which involves examining signs and symptoms to categorize them into types.Some key symptoms playing a major role in distinguishing between different patterns and acupoint selection can vary depending …

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Discovering the key symptoms for identifying patterns in functional dyspepsia patients: A doctor's decision and machine learning

Da-Eun Yoon, Heeyoung Moon, In‐Seon Lee, Younbyoung Chae

Background: Pattern identification is a crucial diagnostic process in Traditional East Asian Medicine, classifying patients with similar symptom patterns. This study aims to identify key symptoms for distinguishing patterns in patients with functional dyspepsia (FD) using explicit (doctor's decision-based) and implicit (computational …

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Acupoint Selection Patterns of Acupoint for Pain Control: Data Mining from Real World Data

Da-Eun Yoon, Yoonjeong Seo, Heeyoung Moon, Yeonhee Ryu et autres

It is important to understand the underlying principles of acupoint selection for pain control. The purpose of this study was to use data mining on real-world data to examine the commonality and specificity of acupoint selection for pain control management. We obtained …