Search Results for author: Joyce C. Ho

Found 17 papers, 2 papers with code

RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records

no code implementations25 Feb 2024 ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Bowen Jin, May D. Wang, Joyce C. Ho, Carl Yang

We present RAM-EHR, a Retrieval AugMentation pipeline to improve clinical predictions on Electronic Health Records (EHRs).

Retrieval

Multimodal Fusion of EHR in Structures and Semantics: Integrating Clinical Records and Notes with Hypergraph and LLM

no code implementations19 Feb 2024 Hejie Cui, Xinyu Fang, ran Xu, Xuan Kan, Joyce C. Ho, Carl Yang

While there has been a lot of research on representation learning of structured EHR data, the fusion of different types of EHR data (multimodal fusion) is not well studied.

Decision Making Representation Learning

Weakly-Supervised Scientific Document Classification via Retrieval-Augmented Multi-Stage Training

1 code implementation12 Jun 2023 ran Xu, Yue Yu, Joyce C. Ho, Carl Yang

To address this challenge, we propose a weakly-supervised approach for scientific document classification using label names only.

Document Classification Retrieval

Communication Efficient Generalized Tensor Factorization for Decentralized Healthcare Networks

no code implementations3 Sep 2021 Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Sivasubramanium Bhavani, Joyce C. Ho

Tensor factorization has been proved as an efficient unsupervised learning approach for health data analysis, especially for computational phenotyping, where the high-dimensional Electronic Health Records (EHRs) with patients' history of medical procedures, medications, diagnosis, lab tests, etc., are converted to meaningful and interpretable medical concepts.

Computational Phenotyping

Temporal Network Embedding via Tensor Factorization

no code implementations22 Aug 2021 Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho

Representation learning on static graph-structured data has shown a significant impact on many real-world applications.

Link Prediction Network Embedding +1

Controlled Molecule Generator for Optimizing Multiple Chemical Properties

1 code implementation26 Oct 2020 Bonggun Shin, Sungsoo Park, JinYeong Bak, Joyce C. Ho

Generating a novel and optimized molecule with desired chemical properties is an essential part of the drug discovery process.

Drug Discovery Property Prediction +1

SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors

no code implementations8 Oct 2020 Ardavan Afshar, Kejing Yin, Sherry Yan, Cheng Qian, Joyce C. Ho, Haesun Park, Jimeng Sun

In particular, we define the N-th order tensor Wasserstein loss for the widely used tensor CP factorization and derive the optimization algorithm that minimizes it.

Computational Efficiency

Spatio-Temporal Tensor Sketching via Adaptive Sampling

no code implementations21 Jun 2020 Jing Ma, Qiuchen Zhang, Joyce C. Ho, Li Xiong

In this paper, we propose SkeTenSmooth, a novel tensor factorization framework that uses adaptive sampling to compress the tensor in a temporally streaming fashion and preserves the underlying global structure.

Management

Domain-Guided Task Decomposition with Self-Training for Detecting Personal Events in Social Media

no code implementations21 Apr 2020 Payam Karisani, Joyce C. Ho, Eugene Agichtein

Mining social media content for tasks such as detecting personal experiences or events, suffer from lexical sparsity, insufficient training data, and inventive lexicons.

General Classification Semi-Supervised Text Classification +1

Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis

no code implementations26 Aug 2019 Jing Ma, Qiuchen Zhang, Jian Lou, Joyce C. Ho, Li Xiong, Xiaoqian Jiang

We propose DPFact, a privacy-preserving collaborative tensor factorization method for computational phenotyping using EHR.

Computational Phenotyping Privacy Preserving

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction

no code implementations15 Aug 2019 Bonggun Shin, Sungsoo Park, Keunsoo Kang, Joyce C. Ho

Predicting drug-target interactions (DTI) is an essential part of the drug discovery process, which is an expensive process in terms of time and cost.

Drug Discovery

PIVETed-Granite: Computational Phenotypes through Constrained Tensor Factorization

no code implementations8 Aug 2018 Jette Henderson, Bradley A. Malin, Joyce C. Ho, Joydeep Ghosh

It has been recently shown that sparse, nonnegative tensor factorization of multi-modal electronic health record data is a promising approach to high-throughput computational phenotyping.

Computational Phenotyping

PaloBoost: An Overfitting-robust TreeBoost with Out-of-Bag Sample Regularization Techniques

no code implementations22 Jul 2018 Yubin Park, Joyce C. Ho

We propose PaloBoost, a Stochastic Gradient TreeBoost model that uses novel regularization techniques to guard against overfitting and is robust to parameter settings.

Feature Importance

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