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 ...
Joint components contributed substantially to model performance, while distinct components captured phase-specific variations.
An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.
Researchers identified that newly derived risk scores can safely predict the risk of myocardial infarction (MI) and major ...
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 ...
Under the influence of global warming, the Arctic is transitioning from a state dominated by multi-year thick ice to a "New ...
Clinician-Identified Health Characteristics and Palliative Care Eligibility: Is Dementia Overlooked?
Conclusions: There is a potential mismatch between what clinicians identify as important in determining palliative care need and final eligibility determinations. Patients with dementia were less ...
A machine learning model using routine lab data at 3 months postdiagnosis accurately predicted mortality or liver transplant risk in autoimmune hepatitis.
Medical device makers use AI to turn EU regulatory challenges into competitive advantages via supply chain optimization.
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