Latest AI and machine learning research in public health & policy for healthcare professionals.
Between 2010 and 2021, fentanyl and stimulants co-involved deaths increased from 0.6% to 32.3% of al...
Current research on Gender-Based Violence (GBV) typically separates predictive machine learning and ...
Stroke is a leading global public health challenge and the second leading cause of death worldwide. ...
Current circulating biomarkers for idiopathic pulmonary arterial hypertension (IPAH) lack specificit...
The course of psychotic disorders typically involves relapses. Early warning signs vary between indi...
Vector-borne diseases, including dengue, threaten the health and livelihoods of over 80% of the worl...
Malaria Early Warning Systems (EWS) are predictive tools that often use climatic and other environme...
Accurate ship valuations are very important in ship sales and purchase (S&P) transactions and for ma...
Intimate Partner Violence (IPV) is a major public health problem to be addressed with innovative and...
Preeclampsia is a pregnancy-specific disease characterized by new onset hypertension after 20 weeks ...
Cholera continues to pose a significant public health challenge in Nigeria, driven by socioeconomic ...
Surveillance systems are integral to ensuring public safety by detecting unusual incidents, yet exis...
BACKGROUND: The novel coronavirus pneumonia (COVID-19) outbreak in late 2019 killed millions worldwi...
Background & Objectives Non-pharmacological interventions (NPI) were crucial in curbing the initial ...
We propose a new theory of information-based voluntary social distancing in which people's responses...
The rapid development and integration of interconnected healthcare devices and communication network...
The chemotherapy benefit for high-grade chondrosarcoma remains controversial. Ensemble learning has...
In the quest to ensure adequate preparedness for health emergencies caused by infectious disease pan...
Contagion dynamics in complex networks drive critical phenomena such as epidemic spread and inform...
The collection of updated data on social contact patterns following the COVID-19 pandemic disrupti...
Graph neural networks (GNNs) have emerged as an effective tool for fraud detection, identifying fr...