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Found 8 papers, 2 papers with code
Sequential Inference of Hospitalization Electronic Health Records Using Probabilistic Models
Inference algorithms are derived that use partial data to infer properties of the complete sequences, including their length and presence of specific values.
Tangent functional connectomes uncover more unique phenotypic traits
(ii) In tangent-FCs, Main-diagonal regularization prior to tangent space projection was critical for ID rate when using Euclidean distance, whereas barely affected ID rates when using correlation distance.
Unsupervised Probabilistic Models for Sequential Electronic Health Records
We develop an unsupervised probabilistic model for heterogeneous Electronic Health Record (EHR) data.
Continuous-Time Probabilistic Models for Longitudinal Electronic Health Records
Analysis of longitudinal Electronic Health Record (EHR) data is an important goal for precision medicine.
Mixture Model Framework for Traumatic Brain Injury Prognosis Using Heterogeneous Clinical and Outcome Data
Using a data-driven approach on many distinct data elements may be necessary to describe this large set of outcomes and thereby robustly depict the nuanced differences among TBI patients' recovery.
Functional Connectome Fingerprint Gradients in Young Adults
Our differential identifiability results show that the fingerprint gradients based on genetic and environmental similarities are indeed present when comparing FCs for all parcellations and fMRI conditions.
AutoAtlas: Neural Network for 3D Unsupervised Partitioning and Representation Learning
AutoAtlas consists of two neural network components: one neural network to perform multi-label partitioning based on local texture in the volume, and a second neural network to compress the information contained within each partition.
Attend and Decode: 4D fMRI Task State Decoding Using Attention Models
We also investigate the transferability of BAnD's extracted features on unseen HCP tasks, either by freezing the spatial feature extraction layers and retraining the temporal model, or finetuning the entire model.
