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111 articles for “risk scoring”
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Semantic Similarity Framework for Automatic Hallucination Detection in Large Language Models
Abstract: Large Language Models can generate fluent, contextually appropriate text across a range of NLP tasks, but they frequently produce outputs that are factually wrong while sounding confident and plausible. This problem, referred to as hallucination, poses serious risks in domains where accuracy matters. We propose a post-processing framework that detects hallucinated responses by comparing them against verified reference text using sentence embeddings. The system computes cosine similarity between the response …
Published in Emerging Trends in Languages · Vol. 3, Issue 2, 2026 · pp. 16–22 Read article
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Analysis of Machine Learning Algorithms for the Detection of Mental Health Problems in Employees
Abstract: Mental health-related issues are more critical issues in the workplace. Mental health has been a major and challenging issue, especially for working professionals. A bad work environment can cause a variety of physical and physiological problems as well as decreased productivity. People are reluctant to ask for help from mental health specialists, according to studies. The fundamental reason for this is the stigma attached to mental illness. Working professionals therefore …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 9, Issue 3, 2022 · pp. 12–24 Read article
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Statistical and AI Approaches to Measure Sustainability Performance of Enterprises
Abstract: Measuring sustainability performance has become a critical priority for enterprises facing increasing regulatory pressure, stakeholder expectations, and global sustainability challenges. Traditional assessment methods, largely based on static indicators and manual reporting, often struggle to capture the multidimensional, dynamic, and data-intensive nature of sustainability. This study explores the integration of statistical and artificial intelligence (AI) approaches to evaluate and enhance the sustainability performance of enterprises in a more robust, accurate, and …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 30–36 Read article
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Algorithm for the prediction of cardiovascular disease (CVD)
Abstract: cardiovascular diseases (CVD) still claim a significant number of deaths globally and remain the number one killer with an annual death toll of nearly 17.9 million. While several medical advancements have been made, an early diagnosis is still hard to obtain, which often leads to worsening conditions and intricate treatment options. With the advancement of modern technology, Machine learning has demonstrated to be a miraculous tool which can greatly impact …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 2, 2025 Read article
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The Feasibility of Bilateral Tympanoplasty in Single Sitting in Bilateral Chronic Otitis Media
Abstract: Bilateral tympanoplasty is not a routinely performed surgery by otosurgeons. The reason being is the risk of inducing sensorineural deafness and fear of bilateral ear packing post operatively that may render patient’s total deaf. The aim of the study is to assess the feasibility of bilateral tympanoplasty in single sitting in bilateral chronic otitis media. 50 patients with bilateral inactive mucosal type COM underwent bilateral tympanoplasty in same sitting. The …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 4, Issue 3, 2015 · pp. 22–27 Read article
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Enhancing Road Safety: A Robotic System for Automatic Pothole Identification and Filling
Abstract: Innovative technologies called automatic pothole detection systems are made to automatically locate and identify potholes on road surfaces. These systems incorporate many components, including sensors such as cameras, LiDAR, and accelerometers, to acquire data on the road conditions. Potholes on roads provide serious risks to passing cars and pedestrians, which can result in collisions, damage to cars, and deterioration of the infrastructure. Automatic pothole detection systems, which make use of …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 3, 2024 · pp. 1–6 Read article
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Machine Learning Approach to Predict the Mental Health Issues of Employees in Tech Companies
Abstract: Mental disorders are conditions that have an impact on your emotions, thoughts, and behaviour. It may happen infrequently or have a persistent effect. The topic of mental health has been major and challenging, especially for working professionals. Over time, the urbanized living and workload put a strain on people, making them more vulnerable to mental disorders like anxiety and mental disorders. Working professionals therefore seem to be at an elevated …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 3, 2022 · pp. 1–10 Read article
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Assessment of Micronuclei in the Cultured Peripheral Blood Lymphocytes of Human Volunteers Consuming Various Forms of Tobacco in Mizoram
Abstract: Tobacco consumption is highly prevalent in Mizoram—a northeastern state of India—and it is one of the main causes of high cancer incidence. Peripheral blood was collected from 245 volunteers within the age group of 18–67 years with their informed consent and micronuclei were prepared in cultured lymphocytes by blocking cytokinesis. Binucleated (BN) cells bearing micronuclei were scored blindly under a fluorescence microscope, where a total of 3000 BN cells were …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 8, Issue 2, 2019 · pp. 17–26 Read article
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A Pre-Experimental Study to Evaluate the Effectiveness of a Self-Instructional Module on Knowledge Regarding Breast Self-Examination Among Adolescent Girls in Selected Higher Secondary Schools of Moradabad, Uttar Pradesh
Abstract: Breast cancer remains the most frequently diagnosed cancer among women worldwide and is a major cause of death, with its incidence steadily rising in India. Detecting the disease at an early stage greatly enhances survival rates; however, many cases are identified late due to limited awareness and inadequate access to healthcare resources. Breast self-examination (BSE) is an easy, cost-effective practice that enables women to notice early changes in their breasts. …
Published in International Journal of Oncological Nursing and Practices · Vol. 4, Issue 1, 2026 · pp. 30–36 Read article
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A Study to Assess the Knowledge and Practice Regarding Prevention of TB Among Staff Nurses Working in a Selected TB Hospital at Jodhpur
Abstract: Tuberculosis (TB) remains a major global public health concern, causing significant morbidity and mortality, particularly among healthcare workers. Staff nurses are at heightened risk due to repeated exposure to patients with active TB, making knowledge and adherence to preventive practices critical. The present study was conducted to evaluate the knowledge and practices of staff nurses concerning tuberculosis (TB) prevention at Kamla Nehru TB and Chest Hospital, Jodhpur. A descriptive and …
Published in International Journal of Community Health Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 7–33 Read article
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A Study to Assess the Effectiveness of Lecture-Cum-Demonstration on Knowledge and Practice Regarding Biomedical Waste Management Among Allied Health Science Students at GIMS, Gadag
Abstract: Background: Biomedical waste management is a critical aspect of healthcare practice, and inadequate knowledge and poor handling can pose serious risks to health professionals, patients, and the environment. Allied Health Science students, as future healthcare providers, must be well-versed in the principles and practices of biomedical waste management. This study aims to assess the effectiveness of a lecture-cum-demonstration program on improving knowledge and practice related to biomedical waste management among …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 27–53 Read article
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Knowledge and Practices of Mothers Health on Malnutrition Prevention in Under-Five Children at Selected Community Area, Kanpur Nagar
Abstract: Background: Malnutrition is a common concern among children under five years old, particularly during their crucial growth years. Maintaining a nutritious and well-balanced diet is crucial for prevention. Consuming regular meals – such as three smaller meals along with two to three nutritious snacks daily – while ensuring sufficient intake of protein and carbohydrates can help lower the risk of malnutrition. Objectives: To assess mothers’ knowledge regarding malnutrition in children …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 · pp. 50–62 Read article
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Data-Driven Predictive Analytics and Decision- Making in FinTech Using MongoDB and High-Throughput Data Pipelines
Abstract: This paper examines the implementation of MongoDB and high-throughput data pipelines within the financial technology (FinTech) sector to drive data-informed predictive analytics and decision-making. The study focuses on the architectural components, scalability, and challenges of integrating NoSQL databases into real-time data ingestion and analytics pipelines. The transformative potential of these technologies in modern financial systems is highlighted through practical use cases such as fraud detection, credit scoring, and personalized financial …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 1–15 Read article
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MedVerse AI: An Intelligent Digital Health Platform for Patient-Centric Healthcare and Proactive Disease Prediction
Abstract: The rapid digitization of healthcare has led to an unprecedented growth in medical data, ranging from diagnostic images and laboratory reports to electronic health records and clinical notes. Despite this abundance, patients and healthcare providers often struggle to extract meaningful insights due to data complexity and fragmentation. MedVerse AI proposes an intelligent digital health platform that unifies medical image analysis, clinical report interpretation, real-time interaction, and predictive disease analytics into …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 2, 2026 · pp. 1–7 Read article
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Knowledge and Attitude about Seizures among Caregivers of Patients with Supratentorial Craniotomy
Abstract: The risk of seizures in patients after craniotomy, especially in supratentorial approach is high in first five years of surgery. Providing comprehensive home care is mandatory to prevent seizures and to reduce the complications related to it. So it is necessary for caregivers of these patients to have adequate knowledge about seizures and its management along with a positive attitude towards caring them. The Study was aimed to assess knowledge …
Published in Research and Reviews: A Journal of Medicine · Vol. 5, Issue 2, 2015 · pp. 1–6 Read article
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A Study to Evaluate the Impact of Health Education on Awareness of Long-term Complications of Hypertension Among Hypertensive Patients in A Selected Hospital, Bengaluru
Abstract: The rising burden of non-communicable diseases, particularly hypertension, poses significant public health challenges, especially in developing nations. This study aimed to assess the effectiveness of a health education program focused on lifestyle modifications to prevent hypertension-related complications among patients at selected hospitals in Bengaluru. Employing a quasi-experimental design, we recruited 60 hypertensive patients through purposive sampling. Initial knowledge was evaluated using a structured questionnaire, followed by an educational intervention provided …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 31–63 Read article
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Exploring the Effects of Yogic Meditation on Stress, Anxiety, and Cardiovascular Health: A Prospective Cross-Sectional Cohort Study at Desh Bhagat Hospital
Abstract: Background: Stress and anxiety are significant risk factors for cardiovascular disorders, with growing evidence suggesting that yogic meditation can mitigate these effects. This prospective cross-sectional cohort study was conducted to evaluate the impact of yogic meditation on stress, anxiety, and cardiovascular parameters among patients attending Desh Bhagat Hospital. Methods: A cohort of 350 patients was recruited, comprising individuals presenting with elevated stress, anxiety, or cardiovascular conditions. Participants underwent a guided …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 1, 2025 · pp. 15–19 Read article
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Impact of Anxiety and Affect on Quality of Life among Youth
Abstract: Youth well-being is an important phenomenon comprising physical, psychological, and social health, where the psychological factors such as anxiety and affect play an essential role in determining Quality of Life (QOL). Young people experience multiple transitions and they are at risk of anxiety disorders that in turn can have adverse effects on academic achievement, physical health, emotional well-being and relationships. Furthermore, affect has a role in the management of emotions …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 1–13 Read article
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Assessment of exacerbation of Depression in pulmonary tuberculosis patients by using PHQ-9 scale at Tertiary Care Hospital
Abstract: Context: Depression leads to more dysfunction and stress, which could affect the patient's life condition. Tuberculosis is a leading cause of comorbidity with depression. Those suffering from tuberculosis and depression are at higher risk of bad health-seeking nature, resulting in higher morbidities, drug resistance, and mortality. The relationship is not well established. Aims: To identify multiple variables/ dependent factors affecting depression respectively in tuberculosis patients and check the medication adherence …
Published in International Journal of Pathogens · Vol. 1, Issue 2, 2024 · pp. 24–31 Read article
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House Price Estimation Using Linear Regression: A Machine Learning Perspective
Abstract: House price prediction plays a crucial role in the real estate industry, helping buyers, sellers, and investors make well-informed decisions. Accurate estimation of property values enables stakeholders to assess market trends, plan investments, and minimize financial risks. This study focuses on the application of linear regression, a fundamental and widely used machine learning algorithm, to predict house prices based on multiple influencing factors. These factors include location, property size, number …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 21–29 Read article