Work

Predictive Modeling of Dysmenorrhea Onset and Severity in Adolescent Girls

Year: 2025

Type: conference-paper

Source: International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT)

DOI: 10.1109/idciot64235.2025.10915118

Authors: Hemalatha Raavi, Keerthi Sujana Korukonda

Institution: Jawaharlal Nehru Technological University, Kakinada

Language: English

Topic: Menstrual Health and Disorders

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4408400436

FWCI:

Cites: 19

Cited by:

Related to: 10