Name
Affiliation
Papers
HONGFANG LIU
Mayo Clin, Coll Med, Div Biomed Stat & Informat, Dept Hlth Sci Res, Rochester, MN 55905 USA
312
Collaborators
Citations 
PageRank 
878
1479
160.66
Referers 
Referees 
References 
4023
4477
1985
Search Limit
1001000
Title
Citations
PageRank
Year
A Joint Community Detection Model: Integrating Directed and Undirected Probabilistic Graphical Models via Factor Graph With Attention Mechanism00.342022
A Tale of Two Perspectives: Harvesting System Views and User Views to Understand Patient Portal Engagement00.342022
POKR: Building a Computable Heterogeneous Knowledge Resource for Precision Oncology.00.342021
Establishing an expert consensus for the operational definitions of asthma-associated infectious and inflammatory multimorbidities for computational algorithms through a modified Delphi technique00.342021
Recommendations For The Safe, Effective Use Of Adaptive Cds In The Us Healthcare System: An Amia Position Paper00.342021
Assessing Clinician's Adherence to Asthma Guidelines for Asthma Control Status using Natural Language Processing in a Primary Care Setting.00.342020
A Living Network Meta-Analysis of First Line Treatment of Metastatic Kidney Cancer.00.342020
Clinical concept extraction: A methodology review10.352020
Extracting Patient Genetic Information from Unstructured Clinical Notes.00.342020
Mutual Inference Model For User Roles And Urban Functional Zones00.342020
Investigating the impact of disease and health record duration on the eMERGE algorithm for rheumatoid arthritis.00.342020
A Query Taxonomy Describes Performance of Patient-Level Retrieval from Electronic Health Record Data.00.342020
Relationship Between Very Cold Outside Weather and Surgical Outcome: Integrating Shallow and Deep Artificial Neural Nets.00.342019
Discovering Associations between Problem List and Practice Setting.00.342019
Information Extraction for Populating Lung Cancer Clinical Research Data00.342019
Natural language processing for populating lung cancer clinical research data10.362019
Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicine.20.422019
Enhancing Clinical Information Retrieval Through Context-Aware Queries And Indices00.342019
Automatic extraction and assessment of lifestyle exposures for Alzheimer's disease using natural language processing.10.382019
Clinical Use of an Information Retrieval Framework for Cohort Discovery from Electronic Health Records.00.342019
Unsupervised Machine Learning for the Discovery of Latent Disease Clusters and Patient Subgroups Using Electronic Health Records.20.432019
BioCreative/OHNLP Challenge 2018.00.342018
A Comparison of Word Embeddings for the Biomedical Natural Language Processing.150.922018
Using data-driven sublanguage pattern mining to induce knowledge models: application in medical image reports knowledge representation.20.372018
Constructing Node Embeddings for Human Phenotype Ontology to Assist Phenotypic Similarity Measurement10.402018
Natural Language Processing at Scale - Perspectives from Five Healthcare Organizations.00.342018
Modeling asynchronous event sequences with RNNs.10.392018
MayoNLPTeam at the TREC 2018 Precision Medicine Track - Simple Information Retrieval Approach Is the Best.00.342018
Annotating Cohort Data Elements With Ohdsi Common Data Model To Promote Research Reproducibility00.342018
Standardizing Heterogeneous Annotation Corpora Using HL7 FHIR for Facilitating their Reuse and Integration in Clinical NLP.00.342018
Information Extraction for Data Population in Lung Cancer Clinical Research.00.342018
Leveraging the Electronic Health Record to Create an Automated Real-Time Prognostic Tool for Peripheral Arterial Disease.00.342018
Surveillance of Peripheral Arterial Disease Cases Using Natural Language Processing of Clinical Notes.00.342017
Leveraging both Structured and Unstructured Data for Precision Information Retrieval.00.342017
Medical Concept Intersection Between Outside Medical Records And Consultant Notes A Case Study In Transferred Cardiovascular Patients00.342017
Guideline Based Recommended Therapies in PAD Patients Identified by NLP: A Quality Assessment Project.00.342017
Bayesian Prediction of Asthma Exacerbation in Children.00.342017
Accelerating Rare Disease Diagnosis with Collaborative Filtering.00.342017
Intrainstitutional EHR collections for patient-level information retrieval20.382017
Distinction between medical and non-medical usages of short forms in clinical narratives.00.342017
Recommending Education Materials for Diabetic Questions Using Information Retrieval Approaches.00.342017
Using ensembles of NLP engines without a common type system to improve abbreviation disambiguation.00.342017
Leveraging Collaborative Filtering to Accelerate Rare Disease Diagnosis.00.342017
Generalized ensemble model for document ranking in information retrieval.30.372017
Using Unstructured Data to Identify Readmitted Patients00.342017
Drug-drug Interaction Detection with A Topic-modeling Based Framework Augmented with Distant-supervision.00.342016
The digital revolution in phenotyping.10.372016
MayoBMI at ImageCLEF 2016 Handwritten Document Retrieval Task.10.352016
Ontology-Based Analysis of Adverse Drug Reactions Associated with Anti-infection Drugs in China.00.342016
Identification of Patients with Family History of Pancreatic Cancer - Investigation of an NLP System Portability.20.382015
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