Results 301 to 310 of about 1,034,220 (415)

Gender differences in anxiety disorders: prevalence, course of illness, comorbidity and burden of illness.

open access: yesJournal of Psychiatric Research, 2011
C. McLean   +3 more
semanticscholar   +1 more source

Risk Evaluation of the NCD Risk Calculator for Open Pancreaticoduodenectomy in Elderly Patients: A Validation Study

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This study investigated the utility of the Japanese NCD risk calculator for preoperative assessment in elderly patients undergoing pancreaticoduodenectomy (PD), using a validation study design. In the training cohort, two preoperative factors—the predicted incidence of postoperative ADL decline ≥ 44.8% and Clavien–Dindo grade IV or higher complications
Nana Kimura   +9 more
wiley   +1 more source

Mesenteric thrombosis: An unusual complication of severe acute pancreatitis—Report of two cases

open access: yesAdvances in Digestive Medicine, EarlyView.
Abstract The incidence of acute pancreatitis is 34 per 100 000 people in the general population and is on the rise. Approximately 15% to 20% of all patients experience severe pancreatitis, with a mortality rate nearing 20%. This condition is often linked to vascular complications, although mesenteric thrombosis is a rare presentation.
Asya Zubillaga‐Mares   +5 more
wiley   +1 more source

Unraveling Multimodal Brain Signatures: Deciphering Transdiagnostic Dimensions of Psychopathology in Adolescents

open access: yesAdvanced Intelligent Systems, EarlyView.
This study, utilizing two large‐cohort datasets, employs interpretable neural networks. It demonstrates that incorporating brain morphology and functional and structural networks enhances predictive accuracy for general psychopathology and its dimensions.
Jing Xia, Nanguang Chen, Anqi Qiu
wiley   +1 more source

Migraine and epilepsy: clinical and pathophysiological relations. [PDF]

open access: yes, 2007
Beneduce L   +7 more
core   +1 more source

Deep‐Learning Model for Central Nervous System Infection Diagnosis and Prognosis Using Label‐Free 3D Immune‐Cell Morphology in the Cerebrospinal Fluid

open access: yesAdvanced Intelligent Systems, EarlyView.
Early diagnosis and prognosis prediction of central nervous system infections are critical. This study introduces a deep‐learning model utilizing cerebrospinal fluid immune‐cell morphology captured via 3D holotomography. The model effectively predicts infection etiology and prognosis, achieving high accuracy.
Bo Kyu Choi   +5 more
wiley   +1 more source

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