Machine learned decision tree for diagnosis of ASM...
Machine learning on electronic health records (EHR) was used to produce a data-driven decision tree (algorithm) to flag high-risk patients for ASMD...
Machine learning on electronic health records (EHR) was used to produce a data-driven decision tree (algorithm) to flag high-risk patients for ASMD...
Newly diagnosed metastatic melanoma patients are often treated with molecular targeted therapy (TT) or with immunotherapy (IO).
Drugs evaluation has been undergoing a transformational shift from the classical sequence of randomized control trials (RCT) and Real-World (RW) st...
This non-comparative, retrospective study aimed to characterize the profiles of erectile disfunction (ED) patients prescribed with tadalafil by clu...
Patients’ testimonials (e.g. posts on forums or responses to questionnaires) provide valuable insights to define and characterize patient-reporte...
Limited data exist on the impact of different insulin therapy regimes on outcomes in people with diabetes. The current study describes the unmet me...
Detecting consistent patterns of interest can be performed using data-driven subgroup discovery algorithms. These may be instrumental in exploiting...