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
Enhanced Early Diagnosis of Parkinson’s Disease via Transformer-Based Deep Learning and GAN-Augmented Handwriting Analysis
Fateme Darkhal - Seyyed Ali Zendehbad - Zahra Sedaghat
Microorganisms prediction for superier Enzyme Sequence With Alphafold Software
Melika Arabzadeh - Kimia Maleki - Bijan Bambai - Hossein Azad
Exploring AI Techniques in the Identification and Control of Marine Vehicles
Milad Baghban
Hybrid Deep Learning Models for Cardiovascular Disease Prediction: A Comprehensive Review of Convolution-Transformer Architectures
Ali Azimi Lamir - Masoud Bekravi - Babak Nouri Moghaddam
Deep Learning Frailty Model for Heart Failure Survival Prediction
Solmaz Norouzi - Mohammad Asghari Jafarabadi - Ebrahim Hajizadeh - Hossein Khormaei - Nasim Naderi
Creating a Foundation for Dynamic Difficulty Adjustment within PCG of games using Imitation Learning
Navid Siamakmanesh - Arian Ganji - Monireh Abdoos - Mojtaba Vahidi-Asl
A Deep Reinforcement Learning Approach to Automated Stock Trading, using xLSTM Networks
Faezeh Sarlakifar - Mohammadreza Mohammadzadeh Asl - Sajjad Rezvani Khaledi - Armin Salimi-Badr
Hybrid ANN and Ant Colony Algorithm for IoT Data Classification
Khadejeh Nemati - Safouro Ashoori - Moohamad hadi Amini
Aβ42/Aβ40 ratio prediction using MRI images features for Alzheimer’s Early Detection
Atefe Aghaei - Mohsen Ebrahimi Moghaddam
Examining Ethical Principles in the Development of AI for Environmental Protection with a Focus on Environmental Justice
Maryam Saadaat Nabavi Meybodi
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 41.1.5