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1983 articles for “failure-prediction AUROC of 0.967” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Electroglottography (EGG) Patterns can Predict the Type of Glottic Chink
Abstract: Human beings have appreciated the importance of voice for many centuries. Voice is an important component that imparts the self-confidence and socially acceptable behavior of an individual. The quality of the voice is an essential component of the social wellbeing. Quality of voice is prone to get affected because of its over use or misuse. The extent of damage caused to the laryngeal structures due to vocal abuse is a …
Published in Research and Reviews: A Journal of Health Professions · Vol. 9, Issue 1, 2019 · pp. 17–25 Read article
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Assessment and Associated Factors of Adjustment Disorder with Mixed Depression and Anxiety of Hospitalized Patients with Pandemic Disease, COVID-19 in Ethiopia, East Africa, 2020
Abstract: AbstractBackground: Globally, the 2019 coronavirus disease (COVID-19) pandemic has raised international concern. According to world meters report, 4,545,167 cases, 1,715862 recoveries, 303,847 deaths and spread to 213 countries, and significant number increasing from day to day since December 2019. Mental health is becoming an issue that cannot be ignored in our fight against it. This study aimed to explore the prevalence, and factors linked to anxiety and depression in hospitalized …
Published in Research and Reviews: A Journal of Health Professions · Vol. 10, Issue 2, 2020 · pp. 57–65 Read article
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A Critical Analysis and Evidence-Based Study on The Impact of Sensory Health Screenings and Its Risk Factors In the Prediction and Prevention of Organ Damages
Abstract: ABSTRACTSensory organs operate the senses of vision, hearing, touch, smell and taste. In order to assess the type, severity, and locations of aberrant feeling, sensory examination is utilised. If the patient complains of diminished sensation, a sensory system exam is required. The main aim is to find out the sensory changes/impairments and its risk factors predictions in prevention of organ damages and to study the role of clinical pharmacist/Doctor of …
Published in Research and Reviews: A Journal of Health Professions · Vol. 12, Issue 3, 2022 · pp. 46–62 Read article
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Second Wave COVID-19 Predictions and Forecasting of Confirmed Cases in West Bengal Using ARIMA Model
Abstract: Infection and death rates surged drastically during the second wave of the COVID-19 (called delta variant) in India, owing to the destructive virus. As our country's economic load makes it more difficult to control the measures and it is critical for states such as West Bengal to forecast future cases. The present study introduced a time series forecasting model aimed at predicting and forecasting the number of confirmed and active …
Published in Research and Reviews : A Journal of Immunology · Vol. 13, Issue 1, 2023 · pp. 1–8 Read article
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Level of Adherence to Hypertension Treatment Using Morisky Medication Adherence Scale, Mekelle, Ethiopia
Abstract: Hypertension is defined as a systolic blood pressure greater than 140 mm Hg and a diastolic blood pressure greater than 90 mmHg over a sustained period, based on the average of two or more blood pressure measurements taken in two or more contacts with the health care provider after initial screening. Hypertension treatment is many sided, requiring enduring adherence for anti-hypertension medications and lifestyle instructions as well. Lots of factors …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 6, Issue 2, 2016 · pp. 1–10 Read article
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A Hybrid Machine Learning Approach for Enhanced Patient Diagnosis and Health Outcome Prediction
Abstract: Rapid and accurate diagnosis is essential to present day practitioners of medicine, yet can be complicated by the enormous volume and complexity inherent in clinical data. To this end, we here propose a hybrid machine learning model in combination with Recursive Feature Elimination (RFE) and ensemble voting to enhance the diagnostic accuracy by integrating multiple models. Trained on real-world electronic health data, including lab results, demographics and medical history, the …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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A Comparative Machine Learning Framework for Early Prediction of Liver Cancer Using Clinical Attributes
Abstract: One of the main causes of cancer-related death globally is liver cancer, and improving patient outcomes depends heavily on early detection. However, low contrast, noise, organ similarity, and tumor shape and size variability make it difficult to accurately identify and segment liver tumors from medical imaging. Automated liver cancer diagnosis, segmentation, and prognosis have been greatly improved by recent developments in artificial intelligence (AI), especially deep learning. This work presents …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 2, 2026 · pp. 39–47 Read article
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Artificial Intelligence-Based Workforce Analytics Framework for Predicting Employee Engagement and Continuous Performance Improvement: Evidence from Tata Steel
Abstract: In large, diversified manufacturing organizations, managing employee engagement and sustaining performance require systematic understanding of workload distribution, employee sentiment, and workplace experience. This study examines the role of AI-enabled workforce analytics as a strategic human resource management tool through a case study of Tata Steel. The research positions artificial intelligence not as a technical innovation, but as a people-analytics decision-support mechanism that assists HR leaders in identifying early indicators of …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Machine Learning Techniques for Predicting Industries Based on Region
Abstract: In recent years, there has been a growing interest and emphasis on agricultural land preparation and its implementation among researchers, primarily due to various factors. These factors include an increased focus within the research community, a rising demand for agricultural land, and the significance of assessing soil health for ensuring robust crop production. Picture request is one such philosophy for soil and land prosperity examination. It is a staggering measure …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 1, 2023 · pp. 1–8 Read article
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Prediction of temperatures and residual stresses during FSW of AA2024 and AA7075 with copper using HYPERWELD software
Abstract: This paper investigates the temperature at different workpiece and tool pin sections. In this investigation, various materials are utilized, for example, AA7050, AA2024, and Copper, for other process parameters. Tool rotational speed, tool tilt angle, and welding speed are process parameters. Thermal distribution results are examined with the assistance of these process parameters. Altair’s Hyper Weld, a preeminent computer-aided engineering (CAE) application for the simulation of friction stir welding, has …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 101–112 Read article
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Stock Market Analysis Using Data Science
Abstract: Stock market prediction using data science has become a popular area of research and application in recent years. This is because the stock market is a complex system with many variables and factors that affect its behavior, making it difficult to predict with certainty. The stock market has always been the aggression of buyers and sellers of stocks, therefore in the global finance market, stock trading is one of the …
Published in E-Commerce for Future & Trends · Vol. 11, Issue 1, 2024 · pp. 1–4 Read article
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Examining the Impact of a Nurse Navigator Program on Anxiety, Psychological Well-being, and Quality of Life in Breast Cancer Patients at a Tertiary Care Hospital in Haryana: A Randomized Controlled Trial
Abstract: Background of study: Breast cancer stands as the leading cancer type affecting women and remains a significant contributor to female mortality. It is a complex ailment influenced by multiple factors. Globally, in 2020, approximately 2.3 million women received diagnoses of breast cancer, resulting in 685,000 fatalities. This condition can profoundly impact various aspects of a person's existence, encompassing physical, psychological, emotional, social, and familial spheres. A notable observation is the …
Published in International Journal of Oncological Nursing and Practices · Vol. 2, Issue 1, 2024 · pp. 31–39 Read article
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Multi-factor Fused Light path QoT Prediction for Optical Net-works: A Multiple Reservoir Analysis Strategy
Published in Trends in Opto-electro & Optical Communication Read article
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Knowledge About the Noscomial Infection, Their Control and Prevention Procedures Followed at Matrisadan Complex UPHC 04 Rajpur-Sonarpur Municipality, Kolkata, West Bengal
Abstract: In this research work, a detailed study about Nosocomial infection has been done. Different Nosocomial infections have been discussed and a detailed study about prevention of Nosocomial infection has been done in one of the government healthcare facilities, named as UPHC 4 Rathtola Matrisadan, Rajpur-Sonarpur Municipality, Kolkata-700150. The study aims to highlight effective prevention strategies and measures implemented at this facility to control the spread of infections within the healthcare …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 2, 2024 · pp. 27–36 Read article
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Development of a Machine Learning and Artificial Intelligence Based Model Aimed at Forecasting the Prognostic Impact of C-Reactive Protein in Myocarditis
Abstract: The specific role of inflammation markers in myocarditis remains uncertain. We investigated the diagnostic and prognostic significance of C-reactive protein (CRP) levels at the initial diagnosis among myocarditis patients. Our retrospective study enrolled patients clinically suspected (CS) or biopsy-proven (BP) with myocarditis, with available CRP data at diagnosis. We collected patient information, including clinical, laboratory, and imaging findings at diagnosis and follow-up visits. We utilized machine learning methods, specifically random …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 2, 2024 · pp. 12–24 Read article
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Analyzing And Predicting the Battery Health of Battery Energy in EV’s
Abstract: The most widely used energy storage components in products like electric cars, portable electronics, and energy storage systems are lithium batteries. On the other hand, if lithium batteries are not regularly checked, they may perform worse, have a shorter lifespan, or even explode or cause serious harm. Our proposal is to develop a state of health monitoring system for lithium batteries and an algorithm for estimating the state of charge …
Published in Journal of Nuclear Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 28–37 Read article
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Identifying and Mitigating Chemical Hazards Through Hazard Identification and Risk Assessment Using Failure Mode and Effects Analysis (FMEA)
Abstract: Chemical exposure represents a significant occupational health and safety concern in the chemical industry. Effectively addressing these hazards requires teamwork among various occupational health and safety experts, such as general OHS professionals, occupational hygienists, and occupational health practitioners. This research focuses on analyzing hazards and developing control measures for industrial chemicals, evaluating their toxicity, and using these assessments in regulatory decision making. It starts by addressing the availability of toxicological …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 1, 2024 · pp. 52–62 Read article
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Machine Learning Driven Mobile Price Prediction Using Feature Selection and Parameter Optimization
Abstract: Machine learning calculations are utilized in many fields like money, training, industry, medication, and online business. Machine learning calculations show execution contrasts relying upon the dataset and handling steps. Picking the right calculation, preprocessing and post-handling techniques have incredible significance in accomplishing great outcomes. The Random Forest classifier, K-nearest neighbor classifier, and support vector machine methods are evaluated to forecast mobile phone price categories. The “prediction” dataset which is taken …
Published in Current Trends in Information Technology · Vol. 14, Issue 3, 2024 · pp. 18–25 Read article
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A Study and Prediction of Psychological Disorders Through Machine Learning
Abstract: Physical illness is very much visible but not psychological illness therefore, it requires more attention and care. Psychological disorders also known as psychiatric disorders refer to a wide range of conditions affecting a person’s thought process, leading to significant changes in the behavior of an individual. The most prevalent psychological disorders include depression, anxiety disorders, and post-traumatic stress disorder (PTSD). Symptoms of psychological disorders vary greatly but include common symptoms …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 2, 2024 · pp. 32–38 Read article
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Utilizing circulation-derived cancer cells to evaluate patients with surgically treated stages I–IIIA NSCLC throughout the preoperative phase
Abstract: Context: When a tumor is considered resectable, surgery is viewed as the primary treatment approach for both early-stage and locally advanced non-small cell lung cancer (NSCLC). One of the most exciting areas of cancer research in the past ten years is liquid biopsy, which offers a practical non-invasive method for cancer detection and tracking. Circulating tumor cells (CTCs) have been linked to a worse prognosis and increased chance of relapse …
Published in Research and Reviews : Journal of Surgery · Vol. 13, Issue 3, 2024 · pp. 17–28 Read article