Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add more filters










Database
Language
Publication year range
1.
PLoS One ; 19(6): e0303229, 2024.
Article in English | MEDLINE | ID: mdl-38857271

ABSTRACT

The present study recorded indigenous knowledge of medicinal plants in Shahrbabak, Iran. We described a method using data mining algorithms to predict medicinal plants' mode of application. Twenty-oneindividuals aged 28 to 81 were interviewed. Firstly, data were collected and analyzed based on quantitative indices such as the informant consensus factor (ICF), the cultural importance index (CI), and the relative frequency of citation (RFC). Secondly, the data was classified by support vector machines, J48 decision trees, neural networks, and logistic regression. So, 141 medicinal plants from 43 botanical families were documented. Lamiaceae, with 18 species, was the dominant family among plants, and plant leaves were most frequently used for medicinal purposes. The decoction was the most commonly used preparation method (56%), and therophytes were the most dominant (48.93%) among plants. Regarding the RFC index, the most important species are Adiantum capillus-veneris L. and Plantago ovata Forssk., while Artemisia auseri Boiss. ranked first based on the CI index. The ICF index demonstrated that metabolic disorders are the most common problems among plants in the Shahrbabak region. Finally, the J48 decision tree algorithm consistently outperforms other methods, achieving 95% accuracy in 10-fold cross-validation and 70-30 data split scenarios. The developed model detects with maximum accuracy how to consume medicinal plants.


Subject(s)
Data Mining , Medicine, Traditional , Plants, Medicinal , Plants, Medicinal/classification , Iran , Data Mining/methods , Humans , Medicine, Traditional/methods , Middle Aged , Adult , Aged , Male , Female , Aged, 80 and over , Neural Networks, Computer , Knowledge , Algorithms , Support Vector Machine
2.
J Ethnobiol Ethnomed ; 17(1): 31, 2021 Apr 28.
Article in English | MEDLINE | ID: mdl-33910616

ABSTRACT

BACKGROUND: Traditional medicine is a major component in the primary healthcare system in the southeast of Iran, which has a rich floral diversity. However, there is no comprehensive report on the use of medicinal herbs in this specific region. This traditional usage of medicinal plants by local communities could serve as a source for pharmacological and phytochemical studies. The main objective of this study was to identify ethnopharmacological knowledge on medicinal plant species and their local healing applications by the folk communities of Kerman province in the southeast of Iran. METHODS: In this cross-sectional study, data were collected from 217 herbal healers using semi-structured questionnaires, open interviews, and field surveys. Factors including use reports (UR) for each species, frequency of citation (FC), and informant consensus factor (ICF) were used to analyze the data. Plant species were identified by botanists through standard taxonomic methods. RESULTS: A total of 402 medicinal plants were used in healing practices by the local communities of Kerman province. These species belong to 273 genera of 73 families, among which 367 species are dicotyledons, 27 are monocotyledons, 7 species are cryptogam, and one species is gymnosperm. An important implication from the current study is the identification of the traditional medicinal use of 292 plant species in this region for the first time. Asteraceae, Apiaceae, Lamiaceae, and Fabaceae were the dominant medicinally utilized plant families, respectively. Leaf, flower, fruit, and seed were the most common plant parts used. Generally, crude drugs were used in the form of decoction, followed by poultice and infusion forms. Moreover, oral route is considered as the most common administration route followed by topical route. Endocrine (diabetes), dermatological, gastrointestinal, and respiratory problems were ranked as the most frequent ailment categories for which medicinal plants in this region were applied, respectively. Our findings suggested dominant use of Asteraceae and Apiaceae plants for the treatment of gastrointestinal disorders, Lamiaceae plants for respiratory and gastrointestinal ailments, and Apocynaceae plants for dermatological problems. CONCLUSION: Our findings suggested that Asteraceae and Apiaceae plants were used for the treatment of gastrointestinal disorders, Lamiaceae plants for respiratory and gastrointestinal ailments, and Apocynaceae and Euphorbiaceae plants for dermatological problems. Among the medicinal plants with high UR and new ethnobotanical uses, Rhazya stricta was used for wound healing, Calotropis procera, Clematis ispahanica and Euphorbia spp. for eczema, Cionura erecta for the treatment of cough, Launaea acanthodes for the treatment of gastrointestinal parasites, Berberis integrrima as an antidiabetic medicinal herb, Dracocephalum polychaetum and Rydingia persica for various types of chronic diseases, Citrus limon and Citrus aurantium for the treatment of ocular diseases and making the traditional kohl, Calendula officinalis for the treatment of pterygium and Prosopis farcta for preventing nasal bleeding. The identified medicinal plants can be further evaluated for their pharmacological activity and underlying mechanisms of action.


Subject(s)
Ethnobotany , Plants, Medicinal , Cross-Sectional Studies , Ethnicity , Humans , Iran , Knowledge , Phytotherapy , Surveys and Questionnaires
SELECTION OF CITATIONS
SEARCH DETAIL
...