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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 in natural language processing, machine learning (deep learning), and biomedical informatics. He is currently an Associate Professor in Health Informatics and the founding director of the innovative AI for Health (iAI4Health) lab. He was awarded as an NIH AIM-AHEAD leadership fellow in 2022 and has been selected to serve as a scientific advisor for NIH All of US research scholar program and NIH AIM-AHEAD leadership fellowship program since 2023. 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 risk prediction, HIV prevention, cancer informatics, and cardiometabolic disease management.   

Dr. Liu has published more than 70 peer-reviewed manuscripts (over 30 first-author) on premium journals and top computer science conferences. His research has been continuously funded by NIH as PI, MPI, or leading data scientists. Dr. Liu participated in NSF and NIH study sections in the areas of machine learning, natural language processing, and clinical predictive modeling. Through developing advanced machine learning methods, Dr. Liu has won first place in two international challenge tasks: Medical Visual Question Answering (2018) and Gene Mutation/Disease Relation Extraction (2019).

Recently, Dr. Liu's research has focused on applying AI techniques to advance health equity, assessing and mitigating potential biases related to data processing and algorithmic training.

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.
Grant Applying Deep Learning for Predicting Retention in PrEP Care and Effective PrEP Use among Key Populations at Risk for HIV in Thailand
Grant DeepCertainty: Deep Learning for Contextual Diagnostic Uncertainty Measurement in Radiology Reports
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