Articles tagged with Data Analysis
A major study found COVID-19's toll on global cardiac services, revealing a 'substantial global decline' in hospital admissions of cardiovascular patients. The pandemic led to increased delays in treatment, resulting in more deaths and complications, with low-income countries facing the worst impact.
A major international study reveals the significant impact of COVID-19 on cardiovascular services worldwide, with a substantial decline in hospital admissions and increased mortality rates. The study warns that problems with heart health will continue to accrue unless mitigation strategies are implemented quickly.
A large US hospital study found that hospitals providing more registered nurse hours of care can decrease mortality rates in Medicare patients with sepsis. The analysis of over 702,000 patients suggests a strong association between nurse staffing and patient outcomes.
A study by University of Alberta researchers found that language related to depression on social media did not increase in response to COVID-19 waves, but rather decreased as people adapted. Instead, they found spikes in language related to the Black Lives Matter movement and other global events.
Researchers developed an algorithm to classify patients into disease subtypes based on molecular changes, enabling more targeted treatments. The tool has shown potential in a study on non-alcoholic fatty liver disease, identifying lipid biomarkers for disease progression.
A new systematic review and meta-analysis published in The BMJ provides a comprehensive understanding of the adverse outcomes associated with gestational diabetes mellitus during pregnancy. The study found that women with gestational diabetes had increased odds of caesarean section, preterm delivery, and infant complications.
A new project led by University of Illinois professor Jingrui He seeks to detect and predict insider threats in large organizations. The team will use multimodal data to identify outliers and rare category types of insider threats and propose dynamic update techniques.
A new study by Xi'an Jiaotong-Liverpool University finds that upscale hotels in Texas benefit most from hosting Tesla charging stations between 2015-2018. The study suggests that the benefits are due to brand alignment and the presence of nearby tourist attractions, which attract customers seeking charging services.
A new analysis found that citizen science data from apps like eBird can be a valuable resource for researchers and managers, offering insights into wild bird populations. By comparing publicly-produced data with officially tracked numbers, researchers have identified patterns and potential areas for improvement.
A new distributed learning technique, GD-SEC, reduces communication requirements in wireless architecture, improving efficiency and reducing computational cost. The method employs data compression to transmit only meaningful, usable data, enhancing the impact of machine learning while minimizing its limitations.
A UOC study finds that effective feedback requires a two-way dialogue between teachers and students, helping them bridge gaps in knowledge and skills. Students' emotional responses to feedback also play a crucial role, with positive emotions fostering engagement and improvement.
A new study by McGill University researchers has shed light on the complex relationships between concussion symptoms and brain damage in children. The findings suggest that certain combinations of brain injury can lead to specific symptoms, such as attention difficulties and sleep problems.
Plazi receives EUR 1.5 million grant from Arcadia Fund to develop Biodiversity Literature Repository (BLR), providing access to over 750,000 taxonomic treatments, figures, and material citations. The project aims to liberate data from scientific publications, making it FAIR and open for researchers.
Researchers at New York University found that positive tweets about vaccines precede increases in vaccination rates, while negative tweets follow decreases. The study uses big data analytics and natural language processing to track vaccine-related topics and sentiment scores.
Xie aims to develop algorithms that reflect human domain knowledge and reasoning patterns, increasing trust in machine learning models. He also explores algorithmic fairness, considering multiple perspectives on what's considered fair, to address concerns about biased decision-making.
A recent study found that obesity, impaired blood glucose metabolism, and high blood pressure significantly increase the risk of dying from COVID-19 in young and middle-aged people. Researchers analyzed data from the European case registry LEOSS and found that patients with all three conditions had a similar increased risk of death as ...
A new study uses machine learning to analyze temperament data from 4,438 babies to classify their age and gender. While algorithms struggle to distinguish between infants under 48 weeks old, accuracy improves as they age, suggesting that gender differences in infancy become more apparent around this time.
Institutional landlords have raised rent prices in neighborhoods where they own properties, but also improved neighborhood quality and safety. However, these improvements come at a cost to affordability, as rents increased by an average of 0.51% in overlapped neighborhoods.
Researchers developed a new software tool, called 'meta-transcriptome detector,' that integrates genetic sequencing analysis of hosts and their microbiomes. The tool enables analysis of gene expression activity in both microbes and hosts simultaneously, allowing researchers to spot relationships between them.
Researchers at the University of Missouri are applying AI to analyze protein dynamics, identifying potential target sites for new drug therapies. The approach can simulate protein changes related to conditions like cancer, enhancing the chances of successful therapies.
Researchers have used a data-sharing innovation to categorise 16 uncertain BRCA variants as benign or likely benign, potentially allowing women with these variants to skip invasive surgeries. This could lead to thousands of people avoiding difficult treatments for no reason.
A new UCLA-led study finds that affirmative action bans in states led to a decline of 37% in the proportion of underrepresented students in public medical schools. This decrease had a devastating impact on the diversity of the physician workforce, which is crucial for providing equitable healthcare services.
A new study published in BMC Public Health found that people who reported feeling lonely often were significantly more likely to encounter unemployment later. The research also confirmed previous findings that the reverse is true – people who were unemployed were more likely to experience loneliness later.
A team of researchers developed a prognostic model using automated brain scans and machine learning to predict survival and recovery in severe TBI patients. The model accurately predicted risk of death and unfavorable outcomes at six months after the injury, potentially improving clinical decision-making and patient care.
A recent study by MUSC shows that quality improvement efforts have decreased complications for all patients and narrowed the gap in surgical outcomes between black and white patients. The research, led by Dr. Thomas Curran, analyzed data from over 30,000 patients who underwent surgery between 2015 and 2020.
A new study found a bi-directional relationship between gastrointestinal issues and internalized symptoms in children with autism, highlighting the importance of the gut-brain axis. The research aims to develop personalized treatments for individuals with autism experiencing gastrointestinal problems.
A study of over 15 million COVID-19 vaccine doses found a potential link between vaccination and the development of Guillain-Barré Syndrome, a rare autoimmune disorder. The research assessed the risk of GBS after vaccination with Janssen, Pfizer-BioNTech or Moderna COVID-19 vaccines.
Researchers found a notable decline in postpartum insurance loss during the pandemic, primarily due to growing Medicaid enrollment. The study suggests that large increases in consistent Medicaid coverage contributed to this trend.
The Imaging X-ray Polarimetry Explorer (IXPE) mission enables new measurements of cosmic X-ray sources, such as pulsars, black holes, and neutron stars. With its state-of-the-art telescopes and detectors, IXPE will provide high-quality polarization data of various sources, including supernova remnants, active galaxies, and blazars.
Researchers are studying moths to understand agile decision-making in complex environments, aiming to develop autonomous bio-inspired systems. Meanwhile, a team is exploring origami- and kirigami-inspired flexible structures for multifunctional applications.
A doctor's visit from the future describes patient care in 2042, where diagnosis and treatment are personalized based on individual biological abnormalities. Researchers believe this approach could lead to more effective treatments for neurodegenerative disorders.
A study examined the frequency of FDA's extrapolation of pivotal trial data to approved indications, finding it occurred in 45% of cases. This practice may lead to different clinical results in real-world use compared to trials.
A new study from the University of Kansas found that effective change agents and realistic timelines are crucial for successful change implementation. The study identified six key organizational change management practices to achieve high adoption of change initiatives in the AEC industry.
A study by Cornell researchers found that recreational marijuana access significantly decreases prescriptions for pain, depression, anxiety, sleep, psychosis, and seizures in state Medicaid programs. This reduction could lead to significant cost savings for state Medicaid programs.
A recent study analyzed data from 421 adults with type 2 diabetes and found that achieving optimal blood pressure, glucose, cholesterol, and body weight levels can significantly improve life expectancy. By targeting these key health metrics, individuals with type 2 diabetes may be able to extend their lifespan.
A new KAUST study uses machine learning to predict disease spread with high accuracy, dynamically incorporating latest data without human bias. This approach offers a promising alternative to conventional models, providing a more accurate story of the underlying epidemic data.
A University of Cincinnati study found that socioeconomic factors have a significant impact on depression treatment outcomes. Patients with lower incomes, less education, and minority backgrounds tend to have worse treatment outcomes even when receiving equal access to treatment.
Researchers identify magma intrusion as cause of 85,000-quake swarm in Antarctica, largest ever recorded. The swarm peaked with two large earthquakes before subsiding, marking the end of a sustained magmatic unrest.
A study by Tokyo University of Science researchers used WCNs with increasing n values to find features of language that cannot be analyzed using existing WCNs. They found important features in networks with more than three co-occurrences, independent of text data.
The UMass Amherst-based Forecast Hub has generated the most consistently accurate predictions of pandemic deaths at the state and national level. The ensemble model combined individual forecasts, demonstrating improved robustness and ability to overcome individual model biases.
Researchers have identified a key protein molecule that plays a major role in the accumulation of brain cholesterol, triggering Alzheimer's disease. The peptide inhibitor ATAD3A oligomerization promotes neuropathology and cognitive deficits in Alzheimer's disease models.
Researchers develop a new method to reconstruct the states of complex nonlinear systems based on time series data. The approach optimizes reconstruction parameters by focusing on the geometric structure of attractors, resulting in improved accuracy.
A study of 3,900 older adults found factors associated with decreased physical activity include older age, living alone, obesity, adverse health conditions, and poor physical functioning. The results highlight the need for interventions targeting these barriers to promote healthy lifestyles in older age.
A machine learning model has been trained to accurately identify individuals with post-traumatic stress disorder (PTSD) by analyzing text data. The model achieved an 80% accuracy rate in distinguishing between those with and without PTSD. This breakthrough could lead to the development of a cost-effective screening tool for health prof...
A national study of thousands of young people reveals that state school pupils have similar mental health and life satisfaction to private school counterparts. After controlling for socio-economic background and ethnicity, the difference in happiness between the two groups vanished.
The study found that TAVR resulted in significantly less structural valve deterioration after five years compared to SAVR. Patients with structural valve deterioration were at about twice the risk of death or rehospitalization as those without, highlighting the benefits of TAVR in reducing mortality and hospitalization risks.
A study using the nation's largest COVID-19 data resource found that the vaccine protects most cancer patients from getting COVID, but those with certain types of cancer have a higher risk of breakthrough infections. The research also highlights the importance of continued vaccination efforts to protect cancer patients.
The COVID-19 pandemic significantly increased delivery of mental health counseling through telehealth, with 47.9% of outpatient visits transitioning online by December 2020. Unequal access to mental health care was found among older adults, Black and Hispanic people, and those with lower incomes.
A California study found that adults living with handgun owners had twice the homicide rates compared to those without, with most victims being women. Survivors of nonfatal gunshot injuries also experienced significant healthcare costs and worsening mental health.
Researchers from North Carolina State University have released a dataset providing detailed information on COVID-19 vaccine shipments and wastage across the US. The data aims to inform modeling and decision-making to optimize vaccine supply chains.
A new study suggests that children under 5 infected with Omicron have a lower risk of severe health outcomes compared to those infected with the Delta variant. The study found that Omicron is 6-8 times more infectious than Delta, but resulted in fewer hospitalizations and mechanical ventilation cases.
The study reveals a narrowing gap between cancer profiles in China and the USA, with converging trends in lung, breast, and colorectal cancers. China's cancer burden is expected to rise, while the US has seen reduced rates since the 1990s due to effective prevention strategies.
A new algorithm using AI and data analytics predicts bowel cancer patients' length of stay, readmission rates, and mortality, enabling healthcare providers to optimize patient care. The technology has been proven effective with an accuracy rate above 80%, and further development is planned with larger datasets.
A study by ISGlobal used an electronic personal health record system to collect data on migrant populations arriving in southern Europe between 2016 and 2019. The results showed a young and healthy population with acute respiratory infections, HIV/TB, and chronic conditions such as diabetes. The system proved useful for collecting effe...
Researchers analyzed nearly 100,000 pregnancies and found no association between COVID-19 vaccination and poor birth outcomes. The study provides further evidence on the safety of mRNA vaccines for pregnant individuals.
A retrospective study found that cases of metabolic dysfunction-associated fatty liver disease increased since before the COVID-19 pandemic. Late-night meals and higher alcohol intake were identified as independent predictors of developing MAFLD, especially among working-age individuals.
A recent study found that approximately 1 in 3 heart attack survivors experience significant mental decline in the days and months following their heart attack. Cognitive deficits can impact quality of life and treatment adherence, emphasizing the need for cardiologists to monitor patients regularly.
Researchers found that women are less likely to undergo common heart procedures and more likely to die in the hospital after receiving them. The study analyzed data from over 2 million hospitalizations for heart procedures between 2016 and 2019, revealing significant disparities in treatment and outcomes based on sex and race.
Researchers found that opening stadiums to fans with safety protocols in place did not lead to an increase in local Covid case counts. The study used synthetic control method to analyze data from 16 stadiums, which mirrored the trajectory of surrounding counties without stadiums.
Researchers warn of machine learning bias when data published for one task is used to train algorithms for a different one. This can lead to compromised integrity and 'overly optimistic' results in medical imaging applications.