Discrimination of prediction models between cold-heat and deficiency-excess patterns.
Complement Ther Med
; 49: 102353, 2020 Mar.
Article
em En
| MEDLINE
| ID: mdl-32147085
ABSTRACT
OBJECTIVE:
The purpose of this study was to extract important patient questionnaire items by creating random forest models for predicting pattern diagnosis considering an interaction between deficiency-excess and cold-heat patterns.DESIGN:
A multi-centre prospective observational study.SETTING:
Participants visiting six Kampo speciality clinics in Japan from 2012 to 2015. MAIN OUTCOMEMEASURE:
Deficiency-excess pattern diagnosis made by board-certified Kampo experts.METHODS:
We used 153 items as independent variables including, age, sex, body mass index, systolic and diastolic blood pressures, and 148 subjective symptoms recorded through a questionnaire. We sampled training data with an equal number of the different patterns from a 2â¯×â¯2 factorial combination of deficiency-excess and cold-heat patterns. We constructed the prediction models of deficiency-excess and cold-heat patterns using the random forest algorithm, extracted the top 10 essential items, and calculated the discriminant ratio using this prediction model.RESULTS:
BMI and blood pressure, and subjective symptoms of cold or heat sensations were the most important items in the prediction models of deficiency-excess pattern and of cold-heat patterns, respectively. The discriminant ratio was not inferior compared with the result ignoring the interaction between the diagnoses.CONCLUSIONS:
We revised deficiency-excess and cold-heat pattern prediction models, based on balanced training sample data obtained from six Kampo speciality clinics in Japan. The revised important items for diagnosing a deficiency-excess pattern and cold-heat pattern were compatible with the definition in the 11th version of international classification of diseases.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Medicinas Tradicionais:
Medicinas_tradicionales_de_asia
/
Medicina_japonesa
Assunto principal:
Pressão Sanguínea
/
Índice de Massa Corporal
/
Medicina Kampo
Tipo de estudo:
Clinical_trials
/
Diagnostic_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
Complement Ther Med
Ano de publicação:
2020
Tipo de documento:
Article