Application of MCAT questions as a testing tool and evaluation metric for knowledge graph-based reasoning systems.

"Knowledge graphs" (KGs) have become a common approach for representing biomedical knowledge. In a KG, multiple biomedical data sets can be linked together as a graph representation, with nodes representing entities, such as "chemical substance" or "genes," and edges representing predicates, such as "causes" or "treats." Reasoning and inference algorithms can then be applied to the KG and used to generate new knowledge.

Efficacies of minimally invasive puncture and small bone window craniotomy for hypertensive intracerebral hemorrhage, evaluation of motor-evoked potentials and comparison of postoperative rehemorrhage between the two methods.

Application value of the minimally invasive puncture and small bone window craniotomy in hypertensive intracerebral hemorrhage was investigated to explore the effects of the above treatment methods on motor-evoked potentials (MEPs) and postoperative rehemorrhage. Patients with hypertensive intracerebral hemorrhage who were admitted to Chengyang People's Hospital from March 2016 to December 2017 were selected and randomly divided into the minimally invasive group (n=40) and the craniotomy group (n=40). The minimally invasive group was treated with minimally invasive puncture and drainage for hematomas, while the craniotomy group received small bone window craniotomy for evacuation of hematomas.