شفیعی, الهام
مرکز تحقیقات تروما،دانشگاه علوم پزشکی کاشان، کاشان، ایران
[ 1 ] - استفاده از شبکه عصبی مصنوعی و مقایسه آن با رگرسیون لجستیک در پیش‌بینی اختلالات روانی بعد از تروما در بیماران دچار آسیب مغزی خفیف
Introduction: Nowadays, the artificial neural networks have received much attention in predicting the effects of multiple variables and complex relationships in aparticular variables. In this study, we have focused on the use of artificial neural network versus logistic regression to predict post-traumatic mental disorders. Materials & methods: In a prospective cohort study, we covered 100 trauma…
[ 2 ] - بررسی فاکتورهای موثر بر پیش بینی اختلال روانی در بیماران تروماتیک مغزی خفیف با استفاده از مدل رگرسیون لجستیک
Introduction: Severebrain injurycan make peoplesusceptible to mental disorder.However, themildtraumatic braininjuryisstill open for discussion.The objectives of thisstudy was topredict theriskofmental disordersafter mildtraumaticbraininjury. Materials & methods: Thisprospectivecohort studywasdoneon72patients withMTBIand 72other healthy controls.After6 months offollow-up, the individualswere asses…
[ 3 ] - مشکلات تنظیم هیجانات در بیماران آسیب مغزی خفیف در مقایسه با افراد سالم
Introduction: Emotional disorders had immense impact on rehabilitation in the traumatic brain injury patients. This study is to investigate correlation of difficulties in emotional regulation in the mild traumatic brain injury patients compared with that in the normal people. Materials & methods: This prospective cohort study was carried out on 72 mild traumatic brain injury (MTBI) victims and 72…
[ 4 ] - P1: Comparing Emotion Regulation Difficulties in Mild Traumatic Brain Injury Patients and Normal People
لطفاً به چکیده انگلیسی مراجعه شود.
[ 5 ] - P2: Correlation between Working Memory and Mental Disorder in Traumatic Brain Injury Patients
لطفاً به چکیده انگلیسی مراجعه شود.
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