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One or more keywords matched the following properties of Liu, Feifan
keywords Machine Learning
keywords Interpretable and Fair Learning
keywords Deep Learning

Dr. Liu completed doctoral training in pattern recognition and artificial intelligence, with strong expertise on natural language processing, machine learning (deep learning), and biomedical informatics. His research focuses on exploiting advanced computational models to analyze heterogeneous and complex healthcare data for knowledge extraction, predictive modeling and preventative data analytics, in the areas of suicide prevention, HIV prevention, cancer informatics and stroke management.   

Over more than 10 years in this field, Dr. Liu has published more than 60 peer reviewed manuscripts (29 first-author) on premium journals and top computer science conferences. He have served co-investigator (lead data scientist) on 5 NIH-funded R01 projects, and participated NSF study sections in the area of machine learning and natural language processing. Through developing advanced machine learning methods, Dr. Liu has won the first place in two international challenge tasks: Medical Visual Question Answering (2018) and Gene Mutation/Disease Relation Extraction (2019).

Recently Dr. Liu's research focuses on applying AI techniques to advance health equity, assessing and mitigating potential biases related to data processing and algorithmic training. In 2022, he has been selected by the National Institute of Health and AIM-AHEAD Principal Investigators for the AIM-AHEAD Fellowship Program in Leadership Award

One or more keywords matched the following items that are connected to Liu, Feifan
Item TypeName
Academic Article An IR-aided machine learning framework for the BioCreative II.5 Challenge.
Academic Article Towards spoken clinical-question answering: evaluating and adapting automatic speech-recognition systems for spoken clinical questions.
Academic Article Toward automated consumer question answering: automatically separating consumer questions from professional questions in the healthcare domain.
Academic Article Simple and efficient machine learning frameworks for identifying protein-protein interaction relevant articles and experimental methods used to study the interactions.
Academic Article MedTxting: learning based and knowledge rich SMS-style medical text contraction.
Academic Article AskHERMES: An online question answering system for complex clinical questions.
Concept Online Systems
Concept Point-of-Care Systems
Concept Medication Systems
Concept Expert Systems
Concept Adverse Drug Reaction Reporting Systems
Concept Decision Support Systems, Clinical
Academic Article Learning to rank figures within a biomedical article.
Academic Article Clinical Relation Extraction Toward Drug Safety Surveillance Using Electronic Health Record Narratives: Classical Learning Versus Deep Learning.
Academic Article Overview of the First Natural Language Processing Challenge for Extracting Medication, Indication, and Adverse Drug Events from Electronic Health Record Notes (MADE 1.0).
Academic Article Towards Drug Safety Surveillance and Pharmacovigilance: Current Progress in Detecting Medication and Adverse Drug Events from Electronic Health Records.
Academic Article Detection of Bleeding Events in Electronic Health Record Notes Using Convolutional Neural Network Models Enhanced With Recurrent Neural Network Autoencoders: Deep Learning Approach.
Academic Article Learning from Chinese-English Parallel Data for Chinese Tense Prediction
Academic Article Learning to detect and understand drug discontinuation events from clinical narratives.
Academic Article DeepGeneMD: A Joint Deep Learning Model for Extracting Gene Mutation-Disease Knowledge from PubMed Literature
Academic Article An Effective Deep Transfer Learning and Information Fusion Framework for Medical Visual Question Answering
Academic Article Identify suicidal encounters in emergency department (ED) setting using machine learning and natural language processing
Academic Article Adolescent HIV-related behavioural prediction using machine learning: a foundation for precision HIV prevention.
Academic Article Neural Multi-Task Learning for Adverse Drug Reaction Extraction.
Academic Article Inferring ADR causality by predicting the Naranjo Score from Clinical Notes.
Academic Article Learning for Biomedical Information Extraction: Methodological Review of Recent Advances
Academic Article Qualifying Certainty in Radiology Reports through Deep Learning-Based Natural Language Processing.
Academic Article Applying Machine Learning Approaches to Suicide Prediction Using Healthcare Data: Overview and Future Directions.
Academic Article Predicting Adolescent Intervention Non-responsiveness for Precision HIV Prevention Using Machine Learning.
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