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Journal of Holistic Nursing : Official Journal of the American Holistic Nurses' Association
|
April 28, 2026
Nurse-Led, Digitally Supported Mindfulness-Based Stress Reduction for Early Postmenopausal Women: Protocol for a Randomized Waitlist-Controlled Trial
Shashirani Pangambam, Bidita Khandelwal, Barkha Devi, et al.
Asian Pacific Journal of Cancer Prevention : APJCP
|
May 22, 2026
Hybrid Modelling of Pulmonary Cancer Risk Prediction Using Classical Algorithms to Modern Machine Learning Techniques
Seeta Devi, Roshan Yadav, Joyce Robert Mathivanan, et al.
Life (Basel, Switzerland)
|
September 28, 2023
Fresh Umbilical Cord Blood-A Source of Multipotent Stem Cells, Collection, Banking, Cryopreservation, and Ethical Concerns
Seeta Devi, Anupkumar M Bongale, Minyechil Alehegn Tefera, et al.
Asian Pacific Journal of Cancer Prevention : APJCP
|
October 29, 2024
A Systematic Review of Cervical Cancer Mobile Applications and a Future Directions for Developers
Ruchira Purohit, Smriti Singh, Devashree Vaishampayan, et al.
Journal of Education and Health Promotion
|
August 7, 2025
Revitalizing midwifery education: Overcoming challenges and enhancing clinical learning experiences
Lily Podder, Geeta Bhardwaj, Aakanksha Saptarshi, et al.
Birth (Berkeley, Calif.)
|
December 9, 2025
Next-Gen Midwifery Support: Designing an Artificial Intelligence (AI) Enhanced Mobile App for Pregnancy Risk Categorization and Clinical Decision Support on Maternal and Neonatal Outcomes
Seeta Devi, Akshay Kushawaha, Divya Shah, et al.
Asian Pacific Journal of Cancer Prevention : APJCP
|
March 28, 2024
Prediction and Diagnosis of Breast Cancer Using Machine and Modern Deep Learning Models
Seeta Devi, Ruchika Kaul Ghanekar, Jayshree Ashok Pande, et al.
Public Health Nursing (Boston, Mass.)
|
May 17, 2024
Public health nurse perspectives on predicting nonattendance for cervical cancer screening through classification, ensemble, and deep learning models
Seeta Devi, Rupali Gangarde, Shubhangi Deokar, et al.
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of 2
Search research articles
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Showing results (11-20 of 18) with videos related to
Sort By:
Page
of 2
You have reached the last page of results.
This site can display upto 18 results.
Journal of Holistic Nursing : Official Journal of the American Holistic Nurses' Association
|
April 28, 2026
Nurse-Led, Digitally Supported Mindfulness-Based Stress Reduction for Early Postmenopausal Women: Protocol for a Randomized Waitlist-Controlled Trial
Shashirani Pangambam, Bidita Khandelwal, Barkha Devi, et al.
Asian Pacific Journal of Cancer Prevention : APJCP
|
May 22, 2026
Hybrid Modelling of Pulmonary Cancer Risk Prediction Using Classical Algorithms to Modern Machine Learning Techniques
Seeta Devi, Roshan Yadav, Joyce Robert Mathivanan, et al.
Life (Basel, Switzerland)
|
September 28, 2023
Fresh Umbilical Cord Blood-A Source of Multipotent Stem Cells, Collection, Banking, Cryopreservation, and Ethical Concerns
Seeta Devi, Anupkumar M Bongale, Minyechil Alehegn Tefera, et al.
Asian Pacific Journal of Cancer Prevention : APJCP
|
October 29, 2024
A Systematic Review of Cervical Cancer Mobile Applications and a Future Directions for Developers
Ruchira Purohit, Smriti Singh, Devashree Vaishampayan, et al.
Journal of Education and Health Promotion
|
August 7, 2025
Revitalizing midwifery education: Overcoming challenges and enhancing clinical learning experiences
Lily Podder, Geeta Bhardwaj, Aakanksha Saptarshi, et al.
Birth (Berkeley, Calif.)
|
December 9, 2025
Next-Gen Midwifery Support: Designing an Artificial Intelligence (AI) Enhanced Mobile App for Pregnancy Risk Categorization and Clinical Decision Support on Maternal and Neonatal Outcomes
Seeta Devi, Akshay Kushawaha, Divya Shah, et al.
Asian Pacific Journal of Cancer Prevention : APJCP
|
March 28, 2024
Prediction and Diagnosis of Breast Cancer Using Machine and Modern Deep Learning Models
Seeta Devi, Ruchika Kaul Ghanekar, Jayshree Ashok Pande, et al.
Public Health Nursing (Boston, Mass.)
|
May 17, 2024
Public health nurse perspectives on predicting nonattendance for cervical cancer screening through classification, ensemble, and deep learning models
Seeta Devi, Rupali Gangarde, Shubhangi Deokar, et al.
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of 2