0% Complete
صفحه اصلی
/
اولین همایش بین المللی هوش مصنوعی
Deep Learning Frailty Model for Heart Failure Survival Prediction
نویسندگان :
Solmaz Norouzi
1
Mohammad Asghari Jafarabadi
2
Ebrahim Hajizadeh
3
Hossein Khormaei
4
Nasim Naderi
5
1- دانشگاه تربیت مدرس
2- Monash university
3- دانشگاه تربیت مدرس
4- دانشگاه ملی مهارت
5- دانشگاه علوم پزشکی ایران
کلمات کلیدی :
Deep Learning،survival analysis،prediction،heart failure
چکیده :
Abstract—The study employed Deep Learning Frailty(DLF), a compelling neural modeling framework for predicting heart failure patient survival. The DLF embeds a notion of multiplicative frailty from classical survival analysis that deals with unobserved heterogeneity while exploiting the neural structure's strong capabilities in approximating any non-linear covariate relationship. Keywords—Deep Learning, prediction, survival analysis, heart failure
لیست مقالات
لیست مقالات بایگانی شده
A Deep Reinforcement Learning Approach to Automated Stock Trading, using xLSTM Networks
Faezeh Sarlakifar - Mohammadreza Mohammadzadeh Asl - Sajjad Rezvani Khaledi - Armin Salimi-Badr
Deep Learning Frailty Model for Heart Failure Survival Prediction
Solmaz Norouzi - Mohammad Asghari Jafarabadi - Ebrahim Hajizadeh - Hossein Khormaei - Nasim Naderi
Enhanced Early Diagnosis of Parkinson’s Disease via Transformer-Based Deep Learning and GAN-Augmented Handwriting Analysis
Fateme Darkhal - Seyyed Ali Zendehbad - Zahra Sedaghat
Split and rephrase: Simple Syntactic Sentences for NLP applications
Mahdi Asghari - Alireza Talebpour - Ghasem Darzi
Optimization of Neural Data Processing with Distributed Algorithms: An Analysis of the Application of Distributed Algorithms in Neural Image and Signal Processing for Feature Extraction Speed and Accuracy Enhancement
Arian Baymani - Maryam Naderi Soorki
Attention-Based Noise Reduction for Surface-Electromyography: A Novel Method for Enhanced Signal Quality in Clinical Diagnostics
Seyyed Ali Zendehbad - Abdollah PourMottaghi - Marzieh Allami Sanjani
A Thorough Analysis of How Chatbots Engage, with Aspects of Customer Experience; An In depth Review
Omid Noori
Studying the Impact of Artificial Intelligence in the Judicial System
Mahdi Rajaeian - Shadi Chegini
A Systematic Review of Deep Learning Applications in Parkinson’s Disease Research
Masoud Kaviani - Ahmadreza Samimi - Arman Gharehbaghi - Alireza Jahanbakhsh
Deep Learning in Healthcare: Focusing on Interpretability and Data Quality Challenges for Enhanced Disease Detection
Mahsa Yaghoobi - Abbas Mirzaei - Babak Nouri-Moghaddam
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.5.4