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 Hybrid Approach for Intrusion Detection in Computer Systems Using Optimized Deep Neural Networks
Yousef Nahi Salman - Maral Kolahkaj
Efficient and Accurate Fairness Verification for Quantum Variational Circuits
Sajjad Hashemian Meymandi - Mohammad Saeed Arvenaghi
Examining Ethical Principles in the Development of AI for Environmental Protection with a Focus on Environmental Justice
Maryam Saadaat Nabavi Meybodi
Microorganisms prediction for superier Enzyme Sequence With Alphafold Software
Melika Arabzadeh - Kimia Maleki - Bijan Bambai - Hossein Azad
Enhanced Brain Tumor Detection: A Novel CNN Approach Optimized by the Crow Search Algorithm
Maryam Moradi - Sima Emadi
Deep Learning in Healthcare: Focusing on Interpretability and Data Quality Challenges for Enhanced Disease Detection
Mahsa Yaghoobi - Abbas Mirzaei - Babak Nouri-Moghaddam
Data Mining's Role in Crafting Intelligent Recommender Systems: A Systematic Review
Pourya Rahat - Amir Reza Asnafi
Empowering Decision-Making in Venture Investments: A Systematic Review of Machine Learning Applications for Predicting Startup Success
Seyed Mohammad Javad Toghraee - Hadi Nilforoushan - Nafiseh Sanaee
Creating a Foundation for Dynamic Difficulty Adjustment within PCG of games using Imitation Learning
Navid Siamakmanesh - Arian Ganji - Monireh Abdoos - Mojtaba Vahidi-Asl
Brain Age Classification from fMRI Data Using Graph Neural Networks and Evolutionary Algorithm
Nastaran Hassanzadeh - Mohammad Saniee Abadeh
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 41.1.5