Clinician and Patient Perspectives on a Patient-Facing Online Breast Cancer Symptom Visualization Tool This prospective observational cohort study included patients with various cancer types receiving ...
Machine learning can enhance ARF outcome predictions but faces challenges like data quality, system heterogeneity, and clinician acceptance. High ARF mortality and mechanical ventilation risks ...
n this study, 773 untreated breast cancer patients from all over China were collected and followed up for at least 5 years. We obtained clinical data from 773 cases, RNA sequencing data from 752 cases ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted, severe fibrosis and cirrhosis can be prevented. While liver biopsies, the ...
A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
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