Daniel Fabbri

Daniel Fabbri

Vanderbilt University

H-index: 20

North America-United States

About Daniel Fabbri

Daniel Fabbri, With an exceptional h-index of 20 and a recent h-index of 17 (since 2020), a distinguished researcher at Vanderbilt University, specializes in the field of Database, Data Mining, Electronic Medical Records, Privacy, Security.

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

Next Generation of Electronic Medical Record Search Engines to Support Chart Reviews: A Systematic User Study and Future Research Direction

Strengths, weaknesses, opportunities and threats of using AI-enabled technology in sleep medicine: a commentary

Aggregation and Contextualization of Murine Investigations Improves Discovery of Significant Human Atherosclerotic Cardiovascular Disease Associations

Prediction of Effectiveness and Toxicities of Immune Checkpoint Inhibitors Using Real-World Patient Data

Use of noisy labels as weak learners to identify incompletely ascertainable outcomes: A Feasibility study with opioid-induced respiratory depression

Crowdsourcing Skin Demarcations of Chronic Graft-Versus-Host Disease in Patient Photographs: Training Versus Performance Study

Development of a machine learning model to predict intraoperative transfusion and guide type and screen ordering

Accelerated curation of checkpoint inhibitor-induced colitis cases from electronic health records

Daniel Fabbri Information

University

Position

___

Citations(all)

1461

Citations(since 2020)

1171

Cited By

680

hIndex(all)

20

hIndex(since 2020)

17

i10Index(all)

39

i10Index(since 2020)

32

Email

University Profile Page

Google Scholar

Daniel Fabbri Skills & Research Interests

Database

Data Mining

Electronic Medical Records

Privacy

Security

Top articles of Daniel Fabbri

Next Generation of Electronic Medical Record Search Engines to Support Chart Reviews: A Systematic User Study and Future Research Direction

Journal of Economy and Technology

2024/4/3

Cheng Ye
Cheng Ye

H-Index: 4

Daniel Fabbri
Daniel Fabbri

H-Index: 14

Strengths, weaknesses, opportunities and threats of using AI-enabled technology in sleep medicine: a commentary

Journal of Technology Development Management

2020/8/28

Aggregation and Contextualization of Murine Investigations Improves Discovery of Significant Human Atherosclerotic Cardiovascular Disease Associations

Circulation

2024/3/26

Yihua Wang
Yihua Wang

H-Index: 20

Daniel Fabbri
Daniel Fabbri

H-Index: 14

Prediction of Effectiveness and Toxicities of Immune Checkpoint Inhibitors Using Real-World Patient Data

JCO Clinical Cancer Informatics

2024/2

Use of noisy labels as weak learners to identify incompletely ascertainable outcomes: A Feasibility study with opioid-induced respiratory depression

Heliyon

2024/1/30

Daniel Fabbri
Daniel Fabbri

H-Index: 14

Crowdsourcing Skin Demarcations of Chronic Graft-Versus-Host Disease in Patient Photographs: Training Versus Performance Study

JMIR dermatology

2023/12/26

Development of a machine learning model to predict intraoperative transfusion and guide type and screen ordering

Biophysical chemistry

2018/9/1

Accelerated curation of checkpoint inhibitor-induced colitis cases from electronic health records

JAMIA open

2023/4/1

Cheng Ye
Cheng Ye

H-Index: 4

Daniel Fabbri
Daniel Fabbri

H-Index: 14

Scalable Incident Detection via Natural Language Processing and Probabilistic Language Models

medRxiv

2023

Objective Pharyngeal Phenotyping in Obstructive Sleep Apnea With High-Resolution Manometry

Otolaryngology–Head and Neck Surgery

2023

User preferences for and engagement with text messages to support antihypertensive medication adherence: findings from a pilot study evaluating an emergency department-based …

Patient education and counseling

2022/6/1

Feasibility and Short‐Term Effects of a Multi‐Component Emergency Department Blood Pressure Intervention: A Pilot Randomized Trial

Journal of the American Heart Association

2022/3/1

Accelerated Data Curation of Colitis Cases.

2022

Cheng Ye
Cheng Ye

H-Index: 4

Daniel Fabbri
Daniel Fabbri

H-Index: 14

Classifying Infection Risk Following Pediatric Cardiac Surgery

2022

Daniel Fabbri
Daniel Fabbri

H-Index: 14

Semi-Automated Data Curation from Biomedical Literature

2022

Automatic Data Curation from Unstructured Text

American Medical Informatics Association Annual Symposium

2022

Daniel Fabbri
Daniel Fabbri

H-Index: 14

Systems approach to integrating preclinical apolipoprotein E-Knockout investigations reveals novel etiologic pathways and master atherosclerosis network in humans

Arteriosclerosis, thrombosis, and vascular biology

2022/1

Detecting Personal Health Mentions from Social Media Using Supervised Machine Learning

2022/11/23

Overcoming barriers in academic-industry partnerships to improve predictive modeling in immuno-oncology.

2022/6/1

Predicting Motor Responsiveness to Deep Brain Stimulation with Machine Learning

American Medical Informatics Association Annual Symposium

2021

Daniel Fabbri
Daniel Fabbri

H-Index: 14

See List of Professors in Daniel Fabbri University(Vanderbilt University)

Co-Authors

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