D. Zhi

发表

Time-sensitive clinical concept embeddings learned from large electronic health records

Yang Xiang, Cui Tao, Zhiheng Li, 2019, BMC Medical Informatics and Decision Making.

Discovery of runs-of-homozygosity diplotype clusters and their associations with diseases in UK Biobank

D. Zhi, Shaojie Zhang, A. Naseri, 2020, medRxiv.

RaPID: ultra-fast, powerful, and accurate detection of segments identical by descent (IBD) in biobank-scale cohorts

Shaojie Zhang, Degui Zhi, Ardalan Naseri, 2019, Genome Biology.

Asthma Exacerbation Prediction and Risk Factor Analysis Based on a Time-Sensitive, Attentive Neural Network: Retrospective Cohort Study

Hua Xu, Yang Xiang, L. Rasmy, 2019, Journal of medical Internet research.

Detecting transcription of ribosomal protein pseudogenes in diverse human tissues from RNA-seq data

Peter D. Tonner, D. Zhi, Degui Zhi, 2012, BMC Genomics.

Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using electronic health record data

L. Rasmy, Yujia Zhou, D. Zhi, 2022, The Lancet Digital Health.

Leveraging collective regulatory effects of long-range DNA methylations to predict gene expressions and estimate their effects on phenotypes in cancer

X. Cui, D. Zhi, H. Park, 2018, bioRxiv.

Vasopressor treatment and mortality following nontraumatic subarachnoid hemorrhage: a nationwide electronic health record analysis.

L. Rasmy, D. Zhi, S. DeSantis, 2020, Neurosurgical focus.

Dynamic incorporation of multiple in silico functional annotations empowers rare variant association analysis of large whole genome sequencing studies at scale

Ivana V. Yang, Andrew D. Johnson, Ryan D. Hernandez, 2020, Nature Genetics.

Asthma Exacerbation Prediction and Interpretation based on Time-sensitive Attentive Neural Network: A Retrospective Cohort Study

Hua Xu, Yang Xiang, Yujia Zhou, 2019 .

P-smoother: efficient PBWT smoothing of large haplotype panels

D. Zhi, Shaojie Zhang, A. Naseri, 2022, Bioinformatics advances.

Toward a standard formal semantic representation of the model card report

Kirk Roberts, Licong Cui, Fang Li, 2022, BMC Bioinformatics.

Real World Long-term Assessment of The Efficacy of Tocilizumab in Patients with COVID-19: Results From A Large De-identified Multicenter Electronic Health Record Dataset in the United States

L. Rasmy, D. Zhi, C. Arias, 2021, International Journal of Infectious Diseases.

Multi-allelic positional Burrows-Wheeler transform

D. Zhi, Shaojie Zhang, A. Naseri, 2019, BMC bioinformatics.

Texas Public Agencies’ Tweets and Public Engagement During the COVID-19 Pandemic: Natural Language Processing Approach

D. Zhi, Wenlin Liu, Xueying Zhang, 2020, JMIR public health and surveillance.

Personalized genealogical history inferred from biobank-scale IBD segments

D. Zhi, Shaojie Zhang, A. Naseri, 2019, bioRxiv.

Transcriptomic Profiling of Ribosomal Protein Pseudogenes in Diverse Human Tissues.

Peter D. Tonner, D. Zhi, Shaojie Zhang, 2012 .

Minimal Positional Substring Cover: A Haplotype Threading Alternative to Li & Stephens Model

D. Zhi, Shaojie Zhang, Ahsan Sanaullah, 2023, bioRxiv.

RAFFI: Accurate and fast familial relationship inference in large scale biobank studies using RaPID.

Xihong Lin, D. Zhi, Shaojie Zhang, 2021, PLoS genetics.

HaploHide: A Data Hiding Framework for Privacy Enhanced Sharing of Personal Genetic Data

Xiaoqian Jiang, Degui Zhi, Arif Harmanci, 2019, bioRxiv.

Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction pdf

Ziqian Xie, Cui Tao, Degui Zhi, 2020, npj Digital Medicine.

MetaRNN: differentiating rare pathogenic and rare benign missense SNVs and InDels using deep learning

Kai Wang, D. Zhi, Xiaoming Liu, 2021, bioRxiv.

Social media and outbreaks of emerging infectious diseases: A systematic review of literature

Degui Zhi, Lu Tang, D. Zhi, 2018, American Journal of Infection Control.

A study of generalizability of recurrent neural network-based predictive models for heart failure onset risk using a large and heterogeneous EHR data set

Fei Wang, Xin Geng, Hua Xu, 2018, J. Biomed. Informatics.

RaPID-Query for Fast Identity by Descent Search and Genealogical Analysis

D. Zhi, Shaojie Zhang, A. Naseri, 2022, bioRxiv.

Ultra-fast Identity by Descent Detection in Biobank-Scale Cohorts using Positional Burrows–Wheeler Transform

Xiaoming Liu, D. Zhi, Shaojie Zhang, 2017, bioRxiv.

Clinical Named Entity Recognition Using Deep Learning Models

Jun Xu, Hua Xu, Yonghui Wu, 2017, AMIA.

Open-source benchmarking of IBD segment detection methods for biobank-scale cohorts

D. Zhi, Shaojie Zhang, A. Naseri, 2022, GigaScience.