Feb 8, 2022 · Patient treatment trajectory data, used to predict the outcome of the treatment for a particular disease, were carried out in the research.
Dec 24, 2021 · Patient treatment trajectory data are used to predict the outcome of the treatment to particular disease that has been carried out in the ...
Robust multifocus deep neural network for progression prediction on patient trajectory data. Arunkumar, K; Vasundra, S. International Journal of Intelligent ...
Abstract. Purpose – Patient treatment trajectory data are used to predict the outcome of the treatment to particular disease that has been carried out in ...
Supplementary Data. Robust multifocus deep neural network for progression prediction on patient trajectory data. Authors: Arunkumar, K. orcid icon ; Vasundra ...
Robust multifocus deep neural network for progression prediction on patient trajectory data. K Arunkumar, S Vasundra. International Journal of Intelligent ...
Jul 27, 2022 · This study advances the state-of-the-art by identifying a DL approach that accurately classifies patient disease risks based on longitudinal ...
Missing: multifocus | Show results with:multifocus
In this paper, we provide an overview of the recent efforts to develop trajectory-aware AI solutions and provide suggestions for future directions.
Missing: multifocus | Show results with:multifocus
We introduce DeepCare, an end-to-end deep dynamic neural network that reads medical records, stores previous illness history, infers current illness states and ...
Missing: multifocus | Show results with:multifocus
We describe efforts on using this rich dataset to build a medical prognosis method using recurrent artificial neural networks. Our methodology can be briefly ...
Missing: Robust multifocus