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41 articles for “mortality prediction”
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To Study the Effects of Butler’s Neuromobilisation and Proprioceptive Neuromuscular Facilitation on Lower Limb Sensory Deficits in Chronic Stroke: A Comparative Study
Abstract: Stroke is a leading cause of functional impairments worldwide. Deficits in somatic sensations (body senses such as; touch, temperature, pain and proprioception) after stroke are common with high prevalence rates. Sensory deficits have been shown to predict poor functional outcome after stroke, including increased length of hospitalization, lower levels of discharge home, lower numbers of home discharges, and increased mortality rates. The objective of the study was to compare the …
Published in Research and Reviews : A Journal of Immunology · Vol. 4, Issue 3, 2014 · pp. 9–17 Read article
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Image Processing and Deep CNN-based Automatic Liver Cancer Detection
Abstract: Liver cancer ranks among the leading causes of mortality for people worldwide. In the current situation, manually identifying the cancer tissue is a challenging and timeconsuming task. Treatment planning, response monitoring, tumor load assessment, and prediction are all made possible by the segmentation of liver lesions in CT scans. To address the current problem of liver cancer, the Hybridized Fully Convolutional Neural Network (HFCNN), which has been theoretically modeled, has …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 39–41 Read article
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A Survey Predicting the Influence of Age, Gender and Anthropometric Measures on Blood Pressure in Bengalee Subjects in West Bengal, India
Abstract: The World Health Organization (WHO) rates hypertension as one of the most important causes of premature death worldwide. It is estimated that by 2020, cardiovascular diseases will be the largest cause of mortality and morbidity in India. Recent studies identified waist circumference (WC), body mass index (BMI), waist hip ratio (WHR), and waist height ratio (WHtR) as the risk factors associated with hypertension. This study intended to verify the influence …
Published in Research and Reviews: A Journal of Health Professions · Vol. 4, Issue 2, 2014 · pp. 1–6 Read article
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Revolutionizing Vaccine Development:The Transformative Role of Bioinformatics in Designing Next-Generation Immunotherapies
Abstract: Vaccines have long been central to the prevention and control of infectious diseases, dramatically reducing morbidity and mortality worldwide. In the modern era, the integration of bioinformatics has revolutionized vaccine development by enabling rapid, precise, and cost-effective identification of potential vaccine targets. This seminar explores the multifaceted applications of bioinformatics in vaccinology, including antigen discovery, epitope prediction, structural modeling, molecular docking, and immunoinformatics-driven vaccine design. Special emphasis is placed on …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 19–33 Read article
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Mental Health and Artificial Intelligence (AI): Marching towards Future
Abstract: One of the most crucial but frequently disregarded facets of our wellbeing is our mental health. In the medical domains of dermatology, radiology, and oncology, artificial intelligence (AI) is being used more and more. AI hasn't been heavily utilised in mental healthcare, though. The need for AI to help identify high-risk individuals and give interventions to prevent and treat mental illnesses is essential due to the high morbidity and mortality …
Published in Research and Reviews: A Journal of Health Professions · Vol. 13, Issue 3, 2023 · pp. 91–95 Read article
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A Study on accelerating threat of Emerging Infectious Diseases (EIDs) and imperative for a proactive, interdisciplinary Global Health Security Framework
Abstract: Emerging Infectious Diseases (EIDs) represent one of the most critical and persistent threats to global health security in the 21st century. Driven primarily by the synergy of unprecedented human encroachment into wild habitats, climate change-induced ecological disruption, accelerated international travel, and antimicrobial resistance, the frequency and severity of zoonotic spillover events are rapidly increasing. Traditional, reactive public health measures—focused on containment after an emergence—have repeatedly proven insufficient, leading to catastrophic …
Published in International Journal of Tropical Medicines · Vol. 3, Issue 1, 2026 · pp. 8–21 Read article
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Predictive Factors of Long-Term Sobriety: A Post-Discharge Outcome Study in Mangalore, Goa, and Vasai (2019–2023)
Abstract: Relapse following discharge remains a major challenge in addiction recovery, even with structured treatment protocols in rehabilitation centers. This study examines post-discharge outcomes from Kripa Foundation’s rehabilitation centers in Mangalore, Goa, and Vasai over a five-year period (2019–2023). A total of 100 patients were categorized into four behavioural outcome groups: Clean (Sober), Relapsed, R.I.P. (Deceased), and Unknown. The study aimed to identify demographic and behavioural predictors of sustained sobriety post-discharge. …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 · pp. 29–44 Read article
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Role of Artificial Intelligence in Simulation and Therapeutics in Neurodegenerative Diseases
Abstract: Neurodegenerative diseases, such as Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, etc., are a cause of significant mortality rates due to a lack of curative treatments and their complex nature. Traditional therapeutic methodologies have several disadvantages such as slow diagnosis and a lack of effective treatments. They mainly focused on the management of the disease rather than curing it. The integration of artificial intelligence in the simulation and therapeutics of neurodegenerative …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 19–29 Read article
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Assessment of Modern Contraceptive Utilization and Factors Associated Among Married Women of Reproductive Age Group at Mekelle City, North Ethiopia in August 2013
Abstract: Ethiopia is the second most populous nation in Africa. Its population has increased nearly seven times from 11.8 million at the beginning of the 20th century to about 80 million today. Where, only 27% in reproductive age groups are currently using modern contraceptive and number of factors could affect for effective use of modern contraception. But, still evidence showed that, as there is high maternal mortality and unwanted pregnancy. However, …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 5, Issue 2, 2015 · pp. 1–23 Read article
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Breast Cancer Detection Using Machine Learning: A Comparative Analysis of Supervised Learning Algorithms
Abstract: Globally, breast cancer remains a predominant cause of mortality among women, highlighting the urgent need for timely and precise diagnostic approaches. This research explores the application of machine learning algorithms—including Logistic Regression, SVM, Naïve Bayes, KNN, and Random Forest—on the Wisconsin Breast Cancer Dataset for effective tumor classification. Key pre-processing steps such as missing value handling, feature scaling, and dimensionality reduction were employed to improve model performance. The study evaluated …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 46–52 Read article
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Determinants of Short Inter-Birth Interval among Child Bearing Age Women in Mekelle City, Northern Ethiopia: Community Based Case Control Study
Abstract: Background: In Ethiopia, where there is high maternal mortality and fertility rate, enhancing optimal inter-birth interval is one of the key strategies to promote the health status of mothers and their children. The purpose of this study is therefore, to understand the determinants for having short inter-birth interval among women in child bearing age. Methods: This unmatched case-control study involved 330 (110 cases and 220 controls) women in child bearing …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 7, Issue 2, 2018 · pp. 6–20 Read article
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Heart Disease Evaluation Through Echocardiography Using CNN, ResetNet50, VGG16, and Image Processing
Abstract: Heart conditions stand out as primary contributors to untimely mortality among adults aged 30 and above, notably among those grappling with elevated cholesterol levels and diabetes. Detecting such ailments often necessitates the use of an echocardiogram, providing an intricate portrayal of the heart. However, precise analysis hinges on both the proper functioning of the echocardiogram apparatus and the proficiency of a skilled radiologist, a condition not always met. Manual scrutiny …
Published in International Journal of Information Security Engineering · Vol. 2, Issue 2, 2024 · pp. 25–35 Read article
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Evaluation of Diagnostic Sensitivity of Rapid Immuno-Chromatographic Card Test (ICT) Against IgM ELISA for Serological Diagnosis of Scrub Typhus: An Experience at a Tertiary Care Centre in South-Eastern Rajasthan
Abstract: Introduction: Scrub typhus (ST) is a common but under-reported rickettsial disease in rural/sub-urban population of our country often resulting in severe complications and high mortality. Evaluation of ‘point of care’ tests like Rapid Immuno-Chromatographic Card Test (ICT) for diagnosis of ST is important to ascertain its utility in diagnosis of the disease in remote and peripheral settings. Aims: The present study was designed to evaluate the diagnostic sensitivity of Rapid …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 9, Issue 1, 2019 · pp. 85–91 Read article
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Sustainable Advances in Oral Pathology: The Impact of Artificial Intelligence
Abstract: Oral cavity cancers constitute about 4% of all malignant neoplasms. More than 9,900 new cases are reported from the developed countries yearly, and the 5-year mortality rate is higher than 39%. In Europe, the highest rates occur in Hungary, Croatia, and other Central and Eastern European countries; high levels are also seen in India, Pakistan, and Bangladesh. The management of endosseous pathologies presents considerable challenges because they often exhibit no …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 1, 2025 · pp. 24–27 Read article
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Vaccines Through Time: Conventional Foundations and Next-Gen Innovations–Part 1
Abstract: Vaccination serves as a critical pillar of global public health, markedly decreasing infection rates and associated mortality. Traditional vaccine platforms such as live attenuated, inactivated, toxoid, and subunit vaccines have demonstrated effectiveness against pathogens like Mycobacterium tuberculosis and Plasmodium spp., yet they are constrained by antigenic variability, limited immune persistence, and complex production processes. Breakthroughs in synthetic biology, structural antigen design, and computational vaccinology have driven the development of advanced …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 1, 2026 · pp. 53–70 Read article
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A comparative study to assess the Ankle Brachial Index by palpatory and Doppler method
Abstract: Background of the study: Peripheral arterial disease (PAD) is strongly associated with cardiovascular and cerebrovascular morbidity and mortality. Relatively few non-invasive diagnostic tests are available that can reveal the evidence of atherosclerosis before the development of symptoms. One such simple, cost effective diagnostic test is Ankle Brachial Index. Since, there is a need to validate palpatory method of Ankle Brachial Index (ABI) measurement, the study was conceived.Aim of the study: …
Published in Journal of Nursing Science & Practice · Vol. 8, Issue 3, 2018 · pp. 10–14 Read article
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Prenatal estimation of the birth weight above 4,000 g (fetal macrosomia) using fetal abdominal circumference(AC)
Abstract: Purpose: This study is to determine if the birth weight above 4,000g can be correctly estimated by prenatal ultrasonographic measurements of abdominal circumference.Background: The delivery of macrosomatic fetus can increase the perinatal morbidity and mortality of both parturients and fetuses/neonates; the risk for shoulder dystocia, fetal asphyxia and birth trauma as well as vacuum or forceps delivery, hysterotomy and postpartum bleeding due to uterine atony. Thus, the accurate estimation of …
Published in Research and Reviews: A Journal of Medicine · Vol. 12, Issue 3, 2022 · pp. 27–33 Read article
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Study of Variation in Platelet Count and WBC Count in Smear of Serology Positive Malaria Patients
Abstract: Malaria constitutes one of the maximum percentages of mortal diseases on earth. It is normally definite by abnormalities in many haematological indices with anaemia and thrombocytopenia being almost regular. Malaria is one of the leading causes of morbidity and mortality worldwide. It is estimated that there are about 300–500 million new cases every year, with 1.5–2.7 million deaths worldwide. The study was conducted in population of Anand city, and district …
Published in Research and Reviews: A Journal of Medicine · Vol. 9, Issue 2, 2019 · pp. 15–17 Read article
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Detection of Cervical Cancer Using lncRNA Expression Data and Detection of Possible Biomarkers with Bagged CART Machine Learning Method
Abstract: Aim: Cervical cancer (CC), one of the most common gynecological cancers, occurs when the cell layer that forms the surface of the cervix turns into abnormal cells. This type of cancer ranks fourth in cancer-related female deaths, and 3.6% of women living in developed countries suffer from this disease, while approximately 15% of women living in underdeveloped countries are exposed to this cancer. The primary means of reducing the high …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 1, 2023 · pp. 12–20 Read article
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Brain Tumor Detection Through CNN: Techniques, Dataset Insights, and Methodology
Abstract: Computer technologies are playing huge roles in some areas of the medical domain like surgery and therapy of different diseases. Researchers are doing studies and trying to experiment to detect different diseases like cancer, virus infections, and leprosy. There are many different medical imaging datasets that are publicly available for medical research purposes of diseases like cancer, virus infections, and leprosy, etc. where we can be able to access large …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 30–40 Read article