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Transforming health care predictions and decision-making: New model incorporates more clinical and demographic dataThe study, published in BMC Health Services Research ... and demographic information, the new model achieved significant improvements in prediction accuracy over the basic Elixhauser model ...
The following is a summary of “Development and validation of prediction algorithm to identify tuberculosis in two large ...
People with severe mental health illness are more likely to develop physical health problems too. A new tool aims to identify ...
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PsyPost on MSNArtificial intelligence predicts adolescent mental health risk before symptoms emergeA new study published in Nature Medicine demonstrates that artificial intelligence can identify adolescents at high risk for ...
In this meta-analysis, we found a statistically significant relationship between worse GSRH and an increased risk of death. Study participants' responses to a simple, single-item GSRH question ...
Dr. Zilong Bai, research associate in population health sciences ... deep-learning model, resulted in better clinical response predictions than models that used gene expression or imaging alone.
Cervical cancer constitutes a formidable health challenge imperiling the well-being and lives of women globally, particularly in underdeveloped nations. The survival rates among patients diagnosed ...
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