Jeffrey Chiang

About Jeffrey Chiang

Jeffrey Chiang, With an exceptional h-index of 13 and a recent h-index of 13 (since 2020), a distinguished researcher at University of California, Los Angeles, specializes in the field of neuroimaging, computational medicine.

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

Prediction of activity in eyes with macular neovascularization due to age-related macular degeneration using deep learning

SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models

Antibiotic Switches in Urinary Tract Infection Are Associated With Atypical Symptoms and Emergent Care

Multimodal Clinical Pseudo-notes for Emergency Department Prediction Tasks using Multiple Embedding Model for EHR (MEME)

Predicting in‐hospital mortality among patients admitted with a diagnosis of heart failure: a machine learning approach

A signal processing tool for extracting features from arterial blood pressure and photoplethysmography waveforms

An algorithm to detect dicrotic notch in arterial blood pressure and photoplethysmography waveforms using the iterative envelope mean method

T43. INSIGHTS INTO THE GENETICS OF PERINATAL DEPRESSION VIA POLYGENIC SCORES

Jeffrey Chiang Information

University

Position

___

Citations(all)

1441

Citations(since 2020)

1291

Cited By

454

hIndex(all)

13

hIndex(since 2020)

13

i10Index(all)

16

i10Index(since 2020)

16

Email

University Profile Page

Google Scholar

Jeffrey Chiang Skills & Research Interests

neuroimaging

computational medicine

Top articles of Jeffrey Chiang

Prediction of activity in eyes with macular neovascularization due to age-related macular degeneration using deep learning

Eye

2024/4

SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models

arXiv preprint arXiv:2403.07384

2024/3/12

Antibiotic Switches in Urinary Tract Infection Are Associated With Atypical Symptoms and Emergent Care

Urogynecology

2024/3/1

Multimodal Clinical Pseudo-notes for Emergency Department Prediction Tasks using Multiple Embedding Model for EHR (MEME)

arXiv preprint arXiv:2402.00160

2024/1/31

Predicting in‐hospital mortality among patients admitted with a diagnosis of heart failure: a machine learning approach

2024

A signal processing tool for extracting features from arterial blood pressure and photoplethysmography waveforms

medRxiv

2024

Jeffrey Chiang
Jeffrey Chiang

H-Index: 8

Maxime Cannesson
Maxime Cannesson

H-Index: 42

An algorithm to detect dicrotic notch in arterial blood pressure and photoplethysmography waveforms using the iterative envelope mean method

medRxiv

2024

T43. INSIGHTS INTO THE GENETICS OF PERINATAL DEPRESSION VIA POLYGENIC SCORES

European Neuropsychopharmacology

2023/10/1

Association of red blood cell distribution width with hospital admission and in-hospital mortality across all-cause adult emergency department visits

JAMA network open

2020/9/1

Effect of statins on the age of onset of age-related macular degeneration

Graefe's Archive for Clinical and Experimental Ophthalmology

2023/8

Forecasting patient census at a university hospital using the Prophet model

2023/7/26

SLIViT: a general AI framework for clinical-feature diagnosis from limited 3D biomedical-imaging data

Research Square

2023/6/21

Biomarker Prediction Using Optical Coherence Tomography

2023/2/16

Automated large-scale prediction of exudative AMD progression using machine-read OCT biomarkers

PLOS digital health

2023/2/15

Automated identification of incomplete and complete retinal epithelial pigment and outer retinal atrophy using machine learning

Ophthalmology Retina

2023/2/1

Author Correction: Neural complexity is a common denominator of human consciousness across diverse regimes of cortical dynamics

Communications biology

2023

Development and Validation of a Machine Learning Algorithm to Classify Lower Urinary Tract Symptoms

Investigative Ophthalmology & Visual Science

2020/7/21

Development and Validation of Machine Learning Algorithms to Classify Lower Urinary Tract Symptoms

Cardiovascular Toxicology

2022/10/1

Machine Learning for Antibiotic Stewardship in the Treatment of Stapholycoccus Bacterial Infections

medRxiv

2022/11/29

Predicting In-Hospital Mortality Among Patients Admitted With Heart Failure: A Machine Learning Approach

Circulation

2022/11/8

See List of Professors in Jeffrey Chiang University(University of California, Los Angeles)

Co-Authors

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