Tinnitus risk factors and its evolution over time.
Tinnitus risk factors identified: hearing health, mood, neuroticism, and sleep. Predictive model shows 78% accuracy! ππ
May 8, 2025
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Discover the newest research about AI innovations in π¦ Epidemiology.
Explainable machine learning model for prediction of 28-day all-cause mortality in immunocompromised patients in the intensive care unit: a retrospective cohort study based on MIMIC-IV database.
Predicting 28-day mortality in ICU immunocompromised patients using machine learning: SVM achieves AUROC of 0.863 ππ‘
May 4, 2025
AI Model Predicts Antibiotic Resistance in Bacteria
AI predicts antibiotic resistance in bacteria, highlighting gene transfer in humans and wastewater. This research aids public health efforts. π¦ π¬
May 1, 2025
When the whole is greater than the sum of its parts: why machine learning and conventional statistics are complementary for predicting future health outcomes.
Machine learning π€ and conventional statistics π enhance health outcome predictions together, as shown in recent research.
April 25, 2025
Prediction of outpatient visits for allergic rhinitis using an artificial intelligence LSTM model – a study in Eastern China.
A recent study developed an LSTM model to predict allergic rhinitis outpatient visits, enhancing treatment and prevention strategies. πΏπ
April 10, 2025
Personalized prediction of esophageal cancer risk based on virtually generated alcohol data.
New research highlights personalized esophageal cancer risk prediction using genetic data and virtual alcohol consumption analysis. π·π
March 30, 2025
AI Utilization by UKHSA to Trace Food Poisoning Sources
UKHSA explores AI to analyze restaurant reviews for food poisoning sources. This could enhance disease surveillance and outbreak prevention. π½οΈπ€
March 22, 2025
Integrated multiomics analysis and machine learning refine neutrophil extracellular trap-related molecular subtypes and prognostic models for acute myeloid leukemia.
Recent research highlights the role of neutrophil extracellular traps in acute myeloid leukemia. π©Έ Key findings suggest potential for improved prognostic models. π
March 12, 2025
The Danish Lymphoid Cancer Research (DALY-CARE) Data Resource: The Basis for Developing Data-Driven Hematology.
The DALY-CARE resource enhances research on lymphoid cancers, combining extensive health data for improved patient care. ππ
February 25, 2025
Risk of crashes among self-employed truck drivers: Prevalence evaluation using fatigue data and machine learning prediction models.
Self-employed truck drivers face increased crash risks due to fatigue. ππ€ A recent study highlights critical factors and predictive models.
February 24, 2025