An inherent problem in software engineering is that competing prediction systems have been found to produce conflicting results. Yet accurate prediction is crucial because the …
Introduction Machine learning algorithms have received increased attention in neurosurgical literature for improved accuracy over traditional predictive methods. In this review, the …
M Katsuki, N Narita, Y Matsumori, N Ishida… - Surgical neurology …, 2020 - ncbi.nlm.nih.gov
Background: Primary headaches are widespread and costly public health problems. However, there are insufficient medical resources for their treatment in Japan due to two …
M Katsuki, Y Kakizawa, A Nishikawa… - Surgical neurology …, 2021 - ncbi.nlm.nih.gov
Background: Reliable prediction models of intracerebral hemorrhage (ICH) outcomes are needed for decision-making of the treatment. Statistically making such prediction models …
S Kasai, A Shiomi, H Kagawa, H Hino… - Annals of …, 2022 - Wiley Online Library
Aim Accurate preoperative diagnosis of lateral lymph node metastasis (LLNM) from lower rectal cancer is important to identify patients who require lateral lymph node dissection …
J Liu, X Chen, X Guo, R Xu… - Therapeutic Advances …, 2022 - journals.sagepub.com
Background: Previous studies found that Asians seemed to have higher risk of HT after thrombolysis than Caucasians due to its race differences in genetic polymorphism. Whether …
M Katsuki, S Kawamura, A Koh - Cureus, 2021 - ncbi.nlm.nih.gov
Methods We used an open dataset of 298 SAH patients, who were with non-severe neurological grade and treated by coiling. Modified Rankin Scale 0-3 at six months was …
J Feghali, SA Sattari, EE Wicks, A Gami… - …, 2022 - journals.lww.com
BACKGROUND: Interest in machine learning (ML)–based predictive modeling has led to the development of models predicting outcomes after aneurysmal subarachnoid hemorrhage …
K Fujita, M Katsuki, A Takasu, A Kitajima… - Aging …, 2022 - Wiley Online Library
Abstract Introduction The diagnosis of Alzheimer's disease (AD) is sometimes difficult for nonspecialists, resulting in misdiagnosis. A missed diagnosis can lead to improper …