ProfessorsProfessors of Harvard UniversityChen Lin

Chen Lin

Harvard University

H-index: 18

North America-United States

About Chen Lin

Chen Lin, With an exceptional h-index of 18 and a recent h-index of 15 (since 2020), a distinguished researcher at Harvard University, specializes in the field of Natural Language Processing, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Temporal trends of multiple sclerosis disease activity: Electronic health records indicators

Leveraging electronic health records data to predict multiple sclerosis disease activity

EntityBERT: Entity-centric masking strategy for model pretraining for the clinical domain

Adverse drug event presentation and tracking (ADEPT): semiautomated, high throughput pharmacovigilance using real-world data

Does BERT need domain adaptation for clinical negation detection?

Adverse drug event rates in pediatric pulmonary hypertension: a comparison of real-world data sources

Defining and Learning Refined Temporal Relations in the Clinical Narrative

A BERT-based one-pass multi-task model for clinical temporal relation extraction

Chen Lin Information

University	Harvard University
Position	Boston Children's Hospital
Citations(all)	1344
Citations(since 2020)	981
Cited By	696
hIndex(all)	18
hIndex(since 2020)	15
i10Index(all)	25
i10Index(since 2020)	21
Email	Access Email
University Profile Page	Harvard University
Google Scholar	View Google Scholar Profile

Chen Lin Skills & Research Interests

Natural Language Processing

Machine Learning

Top articles of Chen Lin

Title	Journal	Author(s)	Publication Date
Temporal trends of multiple sclerosis disease activity: Electronic health records indicators	Multiple sclerosis and related disorders	Liang Liang Nicole Kim Jue Hou Tianrun Cai Kumar Dahal ...	2022/1/1
Leveraging electronic health records data to predict multiple sclerosis disease activity	Annals of clinical and translational neurology	Yuri Ahuja Nicole Kim Liang Liang Tianrun Cai Kumar Dahal ...	2021/4
EntityBERT: Entity-centric masking strategy for model pretraining for the clinical domain		Chen Lin Timothy Miller Dmitriy Dligach Steven Bethard Guergana Savova	2021
Adverse drug event presentation and tracking (ADEPT): semiautomated, high throughput pharmacovigilance using real-world data	JAMIA open	Alon Geva Jason P Stedman Shannon F Manzi Chen Lin Guergana K Savova ...	2020/10
Does BERT need domain adaptation for clinical negation detection?	Journal of the American Medical Informatics Association	Chen Lin Steven Bethard Dmitriy Dligach Farig Sadeque Guergana Savova ...	2020/4
Adverse drug event rates in pediatric pulmonary hypertension: a comparison of real-world data sources	Journal of the American Medical Informatics Association	Alon Geva Steven H Abman Shannon F Manzi Dunbar D Ivy Mary P Mullen ...	2020/2
Defining and Learning Refined Temporal Relations in the Clinical Narrative		Kristin Wright-Bettner Chen Lin Timothy Miller Steven Bethard Dmitriy Dligach ...	2020/11
A BERT-based one-pass multi-task model for clinical temporal relation extraction		Chen Lin Timothy Miller Dmitriy Dligach Farig Sadeque Steven Bethard ...	2020
Extracting Relations between Radiotherapy Treatment Details		Danielle Bitterman Timothy Miller David Harris Chen Lin Sean Finan ...	2020/11
Extracting Radiotherapy Treatment Details Using Neural Network-Based Natural Language Processing	International Journal of Radiation Oncology, Biology, Physics	DS Bitterman TA Miller David Harris Chen Lin Sean Finan ...	2020/11/1