2 publications

• Published Subscription Original Research 30 May 2026

  Early Heart Failure Recognition for Infants Using Machine Learning

  By Ritu, Anshika

  Abstract: The care of newborn infants remains a significant responsibility for healthcare professionals, as ensuring infant survival can often be complex and demanding. Conditions such as heart failure and cardiac arrest in infants are life-threatening and require prompt diagnosis and treatment. Detecting cardiac problems at an early stage can greatly enhance survival outcomes and minimize serious complications. In recent years, machine learning (ML) approaches have become valuable tools for predicting cardiovascular …

  Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 4, Issue 1, 2026 · pp. 1–5 Read article →

• Published Subscription Review Article 6 May 2026

  A Study to Assess the Epidemiological Pattern and Risk Profile of Endometrial Cancer in Women

  By Ritu, Anshika, Shambhuvi

  Abstract: Endometrial cancer is one of the most common gynecological malignancies affecting women worldwide, with its incidence showing a rising trend due to lifestyle changes, increasing obesity rates, and longer life expectancy. Understanding its epidemiological pattern and associated risk factors is essential for early identification and prevention. The present study was conducted to assess the epidemiological distribution and risk profile of endometrial cancer among women. A descriptive research design was adopted …

  Published in International Journal of Oncological Nursing and Practices · Vol. 4, Issue 1, 2026 · pp. 8–12 Read article →