Multiview Deep Learning-based Efficient Medical Data Management for Survival Time Forecasting
K Yu, L Quan, C Chakraborty, Y Shen… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
In recent years, data-driven remote medical management has received much attention,
especially in application of survival time forecasting. By monitoring the physical …
especially in application of survival time forecasting. By monitoring the physical …
Attention-based memory fusion network for clinical outcome prediction using electronic medical records
Recent methods of patient clinical outcome prediction focus on embedding the temporal
time-series data by sequential data encoders without considering the dependency between …
time-series data by sequential data encoders without considering the dependency between …
Lung cancer survival period prediction and understanding: Deep learning approaches
Introduction Survival period prediction through early diagnosis of cancer has many benefits.
It allows both patients and caregivers to plan resources, time and intensity of care to provide …
It allows both patients and caregivers to plan resources, time and intensity of care to provide …
Deep integrative analysis for survival prediction
Survival prediction is very important in medical treatment. However, recent leading research
is challenged by two factors: 1) the datasets usually come with multi-modality; and 2) sample …
is challenged by two factors: 1) the datasets usually come with multi-modality; and 2) sample …
Attention-based deep recurrent model for survival prediction
Survival analysis exhibits profound effects on health service management. Traditional
approaches for survival analysis have a pre-assumption on the time-to-event probability …
approaches for survival analysis have a pre-assumption on the time-to-event probability …
A medical-history-based potential disease prediction algorithm
As an important application of medical informatization, healthcare big data analysis has
been extensively researched in the fields of intelligent consultation, disease diagnosis …
been extensively researched in the fields of intelligent consultation, disease diagnosis …
Lung Cancer Survival Time Prediction Using Machine Learning and Deep Learning Techniques
QB Baker, E Khwaileh, M Alharbi… - … on Intelligent Data …, 2023 - ieeexplore.ieee.org
Accurate prediction of patient survival is pivotal for discerning prognostic indicators from
radiological imagery. This study addresses the critical task of estimating the survival time of …
radiological imagery. This study addresses the critical task of estimating the survival time of …
Long-term cancer survival prediction using multimodal deep learning
LA Vale-Silva, K Rohr - Scientific Reports, 2021 - nature.com
The age of precision medicine demands powerful computational techniques to handle high-
dimensional patient data. We present MultiSurv, a multimodal deep learning method for long …
dimensional patient data. We present MultiSurv, a multimodal deep learning method for long …
Smart predictive healthcare framework for remote patient monitoring and recommendation using deep learning with novel cost optimization
Purpose The aim of this study is to propose a smart predictive healthcare framework for
patients suffering from chronic diseases and are under observation at home. To …
patients suffering from chronic diseases and are under observation at home. To …
Using Geographic Location-based Public Health Features in Survival Analysis
Time elapsed till an event of interest is often modeled using the survival analysis
methodology, which estimates a survival score based on the input features. There is a …
methodology, which estimates a survival score based on the input features. There is a …