2020
DOI: 10.1016/j.ctim.2020.102353
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Discrimination of prediction models between cold-heat and deficiency-excess patterns

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Cited by 10 publications
(9 citation statements)
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“…We have reported a statistical model that predicted the specialist's deficiency-excess and cold-heat diagnosis. This machine-learning model showed a high prediction rate (70-90%) of specialists' diagnoses, [7][8][9] and these diagnoses were predicted with the same information set used in this study. The predicted agreement rates for deficiency-excess and cold-heat modules using our model were comparable with the observed inter-rater agreement, and reproducibility between evaluation performed using information documents and diagnosis from patients (data not shown).…”
Section: Discussionmentioning
confidence: 61%
See 1 more Smart Citation
“…We have reported a statistical model that predicted the specialist's deficiency-excess and cold-heat diagnosis. This machine-learning model showed a high prediction rate (70-90%) of specialists' diagnoses, [7][8][9] and these diagnoses were predicted with the same information set used in this study. The predicted agreement rates for deficiency-excess and cold-heat modules using our model were comparable with the observed inter-rater agreement, and reproducibility between evaluation performed using information documents and diagnosis from patients (data not shown).…”
Section: Discussionmentioning
confidence: 61%
“…These documents contained the results of a 140-item questionnaire that included 133 symptoms, chief complaints, systolic and diastolic blood pressure, age, sex, height, and weight. [7][8][9] Patients' information such as their names, history of present illness, and physical examination findings (including pulse and abdominal examinations) was partially masked to the physicians.…”
Section: Information Documentsmentioning
confidence: 99%
“…The Cold-Heat pattern was originally suggested by the Yellow Emperor's Classic of Internal Medicine and Discussion on Cold-Induced Disease and has been the widely used pivotal clinical differentiation pattern of East-Asian traditional medicine until the ICD-11 [ 23 , 35 – 37 ]. The Cold-Heat pattern of traditional East-Asian medicine refers to momentary and transient clinical manifestations of the patients including cold and fever, absence and presence of thirst, loose stool and constipation, and preference for heat and cold, [ 38 ] which might be the subjective perception of cold or heat [ 23 , 35 , 37 ].…”
Section: Discussionmentioning
confidence: 99%
“…However, the Cold-Heat subgroup of the Sasang typology denotes intrinsic and sustained biopsychological and pathophysiological predispositions, and previous studies showed that actual body temperature [ 39 ], BMI [ 23 , 40 , 41 ], and activated digestive function [ 39 , 41 , 42 ] and biopsychological activity [ 8 , 23 ] might be the representative clinical measure. The BMI was suggested as the most important clinical feature for both Cold-Heat and Deficiency-Excess pattern identification by clinicians [ 35 ], and the pathological problem of urination (SUI) in the current study [ 22 ] was suggested to be related to the Pediatric Weak Scale-GN subscale representing Blood Heat pattern [ 24 ]. The Heat subgroup of the Sasang typology would be defined as a person with activated bodily and mental function [ 23 ] with the characteristics of Heat and Excess clinical patterns altogether, while the Cold subgroup has the inhibited or less activated biopsychosocial functioning with Cold and Deficiency patterns.…”
Section: Discussionmentioning
confidence: 99%
“…In addition, another study found that BMI is an important factor in determining the deficiency-excess pattern of the human body; the risk of the deficiency pattern also increased with lower BMI [ 35 ]. In a recent study using a prediction model, the BMI was an important item for predicting the “deficiency–excess” syndrome in TEAM practice [ 38 ]. We can anticipate that BMI will affect the therapeutic effect of herbal medicine.…”
Section: Discussionmentioning
confidence: 99%