Uneingeschränkter Zugang

Application of Chinese medicine evidence classification algorithm in the identification and treatment of Parkinson’s disease

Danqi Zhang

Danqi Zhang

Guangzhou Hospital of Integrated Traditional and Western Medicine Affiliated to Guangzhou University of Chinese MedicineGuangzhou, China
Suche nach diesem Autor auf
Sciendo|Google Scholar
Zhang, Danqi
  
05. Juni 2025
Application of Chinese medicine evidence classification algorithm in the identification and treatment of Parkinson’s disease's Cover Image
Über diesen Artikel
Vorheriger Artikel
Nächster Artikel
Zitieren
COVER HERUNTERLADEN
Online veröffentlicht: 05. Juni 2025
Eingereicht: 15. Jan. 2025
Akzeptiert: 04. Mai 2025
DOI: https://doi.org/10.2478/amns-2025-0973
Schlüsselwörter
© 2025 Danqi Zhang, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1.

AODE algorithm structure diagram
AODE algorithm structure diagram

Figure 2.

Classification process of TCM syndrome classification algorithm
Classification process of TCM syndrome classification algorithm

Figure 3.

Frequency of Parkinson’s syndrome type
Frequency of Parkinson’s syndrome type

Figure 4.

ROC curves of the three models
ROC curves of the three models

Label co-occurrence frequency table of Parkinson’s data set

Phlegm heat moving wind - main Blood stasis and wind. - main Deficiency of qi and blood. - main Liver and kidney deficiency. - main Yin-yang deficiency - main
Phlegm heat moving wind - Secondary 2 1 13 5
Blood stasis and wind. - Secondary 3 1 6 3
Deficiency of qi and blood. - Secondary 2 3 9 13
Liver and kidney deficiency. - Secondary 7 2 5 2
Yin-yang deficiency - Secondary 1 7 16 2

Top word

Topic 0 probability Topic 1 probability Topic 2 probability
Liver and kidney deficiency. - main 0.3298 Yin-yang deficiency - Secondary 0.4500 Liver and kidney deficiency. - Secondary 0.3318
Phlegm heat moving wind - Secondary 0.2311 Deficiency of qi and blood. - main 0.3000 Phlegm heat moving wind - main 0.1981
Deficiency of qi and blood. - Secondary 0.1918 Liver and kidney deficiency. - main 0.1500 Yin-yang deficiency - main 0.1289
Yin-yang deficiency - main 0.1321 Phlegm heat moving wind - main 0.1250 Deficiency of qi and blood. - Secondary 0.1452

Experimental results of Parkinson’s data set

Micro-F Macro-F Example-F
LDA-ML(BR) 0.4645 0.2456 0.4171
BTM-ML(BR) 0.4378 0.2087 0.4459
WNTM-ML(BR) 0.4209 0.2179 0.4981
BR 0.4172 0.1789 0.4003
LDA-ML(LP) 0.4098 0.2708 0.4410
BTM-ML(LP) 0.4431 0.2567 0.4507
WNTM-ML(LP) 0.4309 0.2208 0.4878
LP 0.4001 0.2153 0.4027
LDA-ML(ECC) 0.4112 0.2975 0.4268
BTM-ML(ECC) 0.4035 0.2114 0.5624
WNTM-ML(ECC) 0.4892 0.2084 0.4290
ECC 0.4018 0.2041 0.3927
LDA-ML(MLkNN) 0.3290 0.1532 0.1390
BTM-ML(MLkNN) 0.2893 0.0973 0.3082
WNTM(MLkNN) 0.3322 0.2567 0.1240
MLkNN 0.2130 0.0897 0.1211
LDA-ML(CLR) 0.4921 0.2330 0.4134
BTM-ML(CLR) 0.4199 0.2652 0.4903
WNTM-ML(CLR) 0.4933 0.2974 0.4872
CLR 0.4119 0.1976 0.4135
Win/loss 5/0 5/0 5/0
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
1 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Biologie, Biologie, andere, Mathematik, Angewandte Mathematik, Mathematik, Allgemeines, Physik, Physik, andere
Zeitschrift RSS Feed