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08/21/2023
Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics
Deep learning continues to rapidly evolve and is now demonstrating remar...
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06/27/2023
Dental CLAIRES: Contrastive LAnguage Image REtrieval Search for Dental Research
Learning about diagnostic features and related clinical information from...
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04/30/2023
Sensitive Data Detection with High-Throughput Machine Learning Models in Electrical Health Records
In the era of big data, there is an increasing need for healthcare provi...
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04/08/2023
Predicting multiple sclerosis disease severity with multimodal deep neural networks
Multiple Sclerosis (MS) is a chronic disease developed in human brain an...
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04/05/2023
A Transformer-Based Deep Learning Approach for Fairly Predicting Post-Liver Transplant Risk Factors
Liver transplantation is a life-saving procedure for patients with end-s...
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03/30/2023
Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant
Organ transplant is the essential treatment method for some end-stage di...
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03/29/2023
Zero-shot Clinical Entity Recognition using ChatGPT
In this study, we investigated the potential of ChatGPT, a large languag...
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03/24/2023
Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint
Clinical trials are indispensable in developing new treatments, but they...
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03/24/2023
LLM for Patient-Trial Matching: Privacy-Aware Data Augmentation Towards Better Performance and Generalizability
The process of matching patients with suitable clinical trials is essent...
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03/23/2023
SPeC: A Soft Prompt-Based Calibration on Mitigating Performance Variability in Clinical Notes Summarization
Electronic health records (EHRs) store an extensive array of patient inf...
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03/08/2023
Does Synthetic Data Generation of LLMs Help Clinical Text Mining?
Recent advancements in large language models (LLMs) have led to the deve...
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02/18/2023
Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning
Liver transplant is an essential therapy performed for severe liver dise...
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12/04/2022
Systematic Design and Evaluation of Social Determinants of Health Ontology (SDoHO)
Social determinants of health (SDoH) have a significant impact on health...
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11/03/2022
Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy Labels
Deep learning models trained on large-scale data have achieved encouragi...
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10/01/2022
Federated Generalized Linear Mixed Models for Collaborative Genome-wide Association Studies
As the sequencing costs are decreasing, there is great incentive to perf...
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08/01/2022
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning
Tensor factorization has received increasing interest due to its intrins...
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03/10/2022
Facilitating Federated Genomic Data Analysis by Identifying Record Correlations while Ensuring Privacy
With the reduction of sequencing costs and the pervasiveness of computin...
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09/28/2021
Federated Learning Algorithms for Generalized Mixed-effects Model (GLMM) on Horizontally Partitioned Data from Distributed Sources
Objectives: This paper develops two algorithms to achieve federated gene...
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09/24/2021
Use of the Deep Learning Approach to Measure Alveolar Bone Level
Abstract: Aim: The goal was to use a Deep Convolutional Neural Network...
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09/10/2021
A Fast PC Algorithm with Reversed-order Pruning and A Parallelization Strategy
The PC algorithm is the state-of-the-art algorithm for causal structure ...
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08/18/2021
De-identification of Unstructured Clinical Texts from Sequence to Sequence Perspective
In this work, we propose a novel problem formulation for de-identificati...
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08/04/2021
An Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles
Our objective in this study is to investigate the behavior of Boolean op...
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04/19/2021
HEAR: Human Action Recognition via Neural Networks on Homomorphically Encrypted Data
Remote monitoring to support "aging in place" is an active area of resea...
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03/11/2021
COVID-19 Smart Chatbot Prototype for Patient Monitoring
Many COVID-19 patients developed prolonged symptoms after the infection,...
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02/01/2021
Real-time Prediction for Mechanical Ventilation in COVID-19 Patients using A Multi-task Gaussian Process Multi-objective Self-attention Network
We propose a robust in-time predictor for in-hospital COVID-19 patient's...
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01/21/2021
Privacy-Preserving and Efficient Verification of the Outcome in Genome-Wide Association Studies
Providing provenance in scientific workflows is essential for reproducib...
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12/29/2020
Privacy-Preserving Methods for Vertically Partitioned Incomplete Data
Distributed health data networks that use information from multiple sour...
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10/06/2020
Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review
Patient representation learning refers to learning a dense mathematical ...
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09/23/2020
Drug Repurposing for COVID-19 using Graph Neural Network with Genetic, Mechanistic, and Epidemiological Validation
Amid the pandemic of 2019 novel coronavirus disease (COVID-19) infected ...
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08/10/2020
Population stratification enables modeling effects of reopening policies on mortality and hospitalization rates
Objective: We study the influence of local reopening policies on the com...
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05/22/2020
Secure and Differentially Private Bayesian Learning on Distributed Data
Data integration and sharing maximally enhance the potential for novel a...
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08/26/2019
Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis
Tensor factorization has been demonstrated as an efficient approach for ...
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05/14/2019
From Brain Imaging to Graph Analysis: a study on ADNI's patient cohort
In this paper, we studied the association between the change of structur...
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05/14/2019
Combining Representation Learning with Tensor Factorization for Risk Factor Analysis - an application to Epilepsy and Alzheimer's disease
Existing studies consider Alzheimer's disease (AD) a comorbidity of epil...
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05/14/2019
Discriminative Sleep Patterns of Alzheimer's Disease via Tensor Factorization
Sleep change is commonly reported in Alzheimer's disease (AD) patients a...
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11/07/2018
Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes
Acute kidney injury (AKI) in critically ill patients is associated with ...
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09/18/2018
Model-Protected Multi-Task Learning
Multi-task learning (MTL) refers to the paradigm of learning multiple re...
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03/10/2018
Efficient Determination of Equivalence for Encrypted Data
Secure computation of equivalence has fundamental application in many di...
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04/11/2017
Federated Tensor Factorization for Computational Phenotyping
Tensor factorization models offer an effective approach to convert massi...
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06/18/2012
