A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...
An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.
Among adolescent girls with concussion, greater initial emotional symptom severity, reflected in higher anxiety, depression, and sleep disturbance scores, was associated with a higher likelihood of ...
The Brighterside of News on MSN
AI helps doctors detect sepsis in kids before it becomes deadly
Sepsis ranks among the deadliest illnesses a child can face. It’s an infection that spirals out of control, causing organ ...
The EnABLE Social Inclusion Framework for Results-Based Climate Finance Initiatives was devised as a key input into the Social Inclusion Strategy and Action Plan of the Enhancing Access to Benefits ...
The presence of long COVID symptoms after infection with SARS-CoV-2 is strongly associated with the development of ...
Objective This study aimed to determine the proportion of capacity challenges for refusal of care, the risk factors that may trigger challenges to capacity and to consider the implications of ...
Researchers evaluated the impact of the timing of COVID-19 infection during pregnancy on both maternal illness severity and pregnancy outcomes.
Background Numerous studies have found associations between parental socio-economic position (SEP) and offspring asthma.
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