Addressing patients' health-related social needs such as housing instability, food insecurity, transportation barriers and ...
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Machine learning approach enhances emotion detection accuracyFacial emotion recognition could have broad applications across health care, education, marketing, transportation, and ...
Despite increasing awareness, identifying and mitigating the effects of ACEs remains a significant challenge, particularly ...
Addressing patients’ health-related social needs such as housing instability, food insecurity, transportation barriers and financial strain is important to improving health outcomes yet can be ...
Funded by a one-year, $500,000 grant from the National Institutes of Health (NIH)’s AIM AHEAD program, the researchers are ...
Funded by a one-year, $500,000 grant from the National Institutes of Health (NIH)’s AIM AHEAD program, the researchers are ...
It's no secret that there is a mental health crisis in the United States. As of 2021, 8.3% adults had major depressive ...
After combing through 4,000 existing medications, an artificial intelligence tool helped uncover one that saved the life of a ...
As per the World Health Organization (WHO), every dollar directed towards mental health produces a return in efficiency that ...
Methods: A prospective health checkup cohort ... that compose it (support vector machine, decision tree C5.0, and eXtreme gradient boosting). The contributing risk factors were identified with ...
Ludhiana: In a bid to check the menace of vaping, three Class XII students of a city school have developed an AI-powered ...
His research focuses on the evolution and adaptation of process-improvement methodologies as they are being applied across manufacturing, service, office, and public sector contexts. This course is ...
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