Public health nurse perspectives on predicting nonattendance for cervical cancer screening through classification, ensemble, and deep learning models.

Objectives: Women's attendance to cervical cancer screening (CCS) is a major concern for healthcare providers in community. This study aims to use the various algorithms that can accurately predict the most barriers of women for nonattendance to CS.

Design: The real-time data were collected from women presented at OPD of primary health centers (PHCs).

The Effect of Multimodal Interventions Regarding Early Cervical Cancer Diagnosis on the Women's Knowledge, Attitude and Participation in Cervical Screening Program.

Objective: The objective of the present study was to assess the effect of multimodal interventions on women's knowledge, attitude, and behavior towards the participation in the cervical screening test.

Methods: A quasi-experimental design is executed with a multi-stage sampling of 300 women residing in rural India.  Various multimodal interventions, including a documentary film, face-to-face meetings, written booklets, reminder letters, SMS, and telephone calls, are used to motivate the women for cervical cancer screening.