Simona Carini

发表

OCRe: An Ontology of Clinical Research

S. Tu, Simona Carini, A. Rector, 2009 .

An ontology of randomized controlled trials for evidence-based practice: content specification and evaluation using the competency decomposition method

Ida Sim, Simona Carini, Ben Olasov, 2007 .

Analysis of Eligibility Criteria Complexity in Clinical Trials

S. Tu, Simona Carini, I. Sim, 2010, Summit on translational bioinformatics.

Network analysis of clinical trials on depression: implications for comparative effectiveness research.

Ida Sim, Simona Carini, Suresh K Bhavnani, 2010, AMIA ... Annual Symposium proceedings. AMIA Symposium.

Standardized Integration of Person-Generated Data Into Routine Clinical Care

Simona Carini, I. Sim, R. Bove, 2021, JMIR mHealth and uHealth.

mCerebrum and Cerebral Cortex: A Real-time Collection, Analytic, and Intervention Platform for High-frequency Mobile Sensor Data

Mani B. Srivastava, Tyson Condie, Ida Sim, 2017, AMIA.

Hidden Gaps in Using Common Data Models to Achieve Interoperability Between Electronic Phenotypes and Clinical Data

Chunhua Weng, Ida Sim, Simona Carini, 2019, AMIA.

Ontology-Based Federated Data Access to Human Studies Information

Samson W. Tu, Thomas Johnson, Vojtech Huser, 2012, AMIA.

Multivariate analysis of the population representativeness of related clinical studies

Shuang Wang, Patrick B. Ryan, Chunhua Weng, 2016, J. Biomed. Informatics.

The Human Studies Database Project: Federating Human Studies Design Data Using the Ontology of Clinical Research

Richard H. Scheuermann, Ida Sim, Suzanne Bakken, 2010, Summit on translational bioinformatics.

The Ontology of Clinical Research (OCRe): An informatics foundation for the science of clinical research

Mor Peleg, Samson W. Tu, Ida Sim, 2014, J. Biomed. Informatics.

Recent Academic Research on Clinically Relevant Digital Measures: Systematic Review.

Simona Carini, J. Dunn, M. Shandhi, 2021, Journal of medical Internet research.

Recent Academic Research on Clinically Relevant Digital Measures: Systematic Review (Preprint)

Simona Carini, T. Hurst, J. Dunn, 2021 .

Chia, a large annotated corpus of clinical trial eligibility criteria

Hao Liu, Chunhua Weng, Yingcheng Sun, 2020, Scientific data.

Ontology-based categorization of clinical studies by their conditions

Simona Carini, I. Sim, C. Weng, 2022, J. Biomed. Informatics.

Visual aggregate analysis of eligibility features of clinical trials

Chunhua Weng, Ida Sim, Zhe He, 2015, J. Biomed. Informatics.

Sensor Data Integration: A New Cross-Industry Collaboration to Articulate Value, Define Needs, and Advance a Framework for Best Practices

I. Clay, Simona Carini, I. Oakley-Girvan, 2021, Journal of medical Internet research.

ExaCT: automatic extraction of clinical trial characteristics from journal publications

Joel D. Martin, Berry de Bruijn, Svetlana Kiritchenko, 2010, BMC Medical Informatics Decis. Mak..

A practical method for transforming free-text eligibility criteria into computable criteria

Mor Peleg, Samson W. Tu, Daniel L. Rubin, 2011, J. Biomed. Informatics.

Automated Information Extraction of Key Trial Design Elements from Clinical Trial Publications

Joel D. Martin, Berry de Bruijn, Svetlana Kiritchenko, 2008, AMIA.

A randomized trial provided new evidence on the accuracy and efficiency of traditional vs electronically annotated abstraction approaches in systematic reviews.

Byron C. Wallace, Ida Sim, Jens Jap, 2019, Journal of clinical epidemiology.

Evaluating Data Abstraction Assistant, a novel software application for data abstraction during systematic reviews: protocol for a randomized controlled trial

Byron C. Wallace, Ida Sim, Christopher H. Schmid, 2016, Systematic Reviews.

Sensor Data Integration: A New Cross-Industry Collaboration to Articulate Value, Define Needs, and Advance a Framework for Best Practices (Preprint)

I. Clay, Simona Carini, K. McManus, 2021 .

Deriving an Abstraction Network to Support Quality Assurance in OCRe

James Geller, Yehoshua Perl, Samson W. Tu, 2012, AMIA.

Chia, a large annotated corpus of clinical trial eligibility criteria

Simona Carini, I. Sim, C. Weng, 2020, Scientific Data.

Multivariate analysis of the population representativeness of related clinical studies

Simona Carini, I. Sim, P. Ryan, 2016, J. Biomed. Informatics.

A Method for Analyzing Commonalities in Clinical Trial Target Populations

Tianyong Hao, Chunhua Weng, Ida Sim, 2014, AMIA.

The Human Studies Database Project Uses the Ontology of Clinical Research to Federate Human Studies Information

Samson W. Tu, Landon T. Detwiler, Simona Carini, 2012 .

EliXR-TIME: A Temporal Knowledge Representation for Clinical Research Eligibility Criteria

Chunhua Weng, Samson W. Tu, Mary Regina Boland, 2012, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.