Search Results - "Fu, Sunyang"

MedSTS: a resource for clinical semantic textual similarity by Wang, Yanshan, Afzal, Naveed, Fu, Sunyang, Wang, Liwei, Shen, Feichen, Rastegar-Mojarad, Majid, Liu, Hongfang

“…The adoption of electronic health records (EHRs) has enabled a wide range of applications leveraging EHR data. However, the meaningful use of EHR data largely…”
Get full text

Use of Natural Language Processing Algorithms to Identify Common Data Elements in Operative Notes for Total Hip Arthroplasty by Wyles, Cody C., Tibbo, Meagan E., Fu, Sunyang, Wang, Yanshan, Sohn, Sunghwan, Kremers, Walter K., Berry, Daniel J., Lewallen, David G., Maradit-Kremers, Hilal

“…BACKGROUND:Manual chart review is labor-intensive and requires specialized knowledge possessed by highly trained medical professionals. Natural language…”
Get full text

Use of Natural Language Processing Algorithms to Identify Common Data Elements in Operative Notes for Knee Arthroplasty by Sagheb, Elham, Ramazanian, Taghi, Tafti, Ahmad P., Fu, Sunyang, Kremers, Walter K., Berry, Daniel J., Lewallen, David G., Sohn, Sunghwan, Maradit Kremers, Hilal

“…Natural language processing (NLP) methods have the capability to process clinical free text in electronic health records, decreasing the need for costly manual…”
Get full text

Desiderata for delivering NLP to accelerate healthcare AI advancement and a Mayo Clinic NLP-as-a-service implementation by Wen, Andrew, Fu, Sunyang, Moon, Sungrim, El Wazir, Mohamed, Rosenbaum, Andrew, Kaggal, Vinod C., Liu, Sijia, Sohn, Sunghwan, Liu, Hongfang, Fan, Jungwei

“…Data is foundational to high-quality artificial intelligence (AI). Given that a substantial amount of clinically relevant information is embedded in…”
Get full text

Automated Detection of Periprosthetic Joint Infections and Data Elements Using Natural Language Processing by Fu, Sunyang, Wyles, Cody C., Osmon, Douglas R., Carvour, Martha L., Sagheb, Elham, Ramazanian, Taghi, Kremers, Walter K., Lewallen, David G., Berry, Daniel J., Sohn, Sunghwan, Kremers, Hilal Maradit

“…Periprosthetic joint infection (PJI) data elements are contained in both structured and unstructured documents in electronic health records and require manual…”
Get full text

Characterizing the progression from mild cognitive impairment to dementia: a network analysis of longitudinal clinical visits by Garg, Muskan, Hejazi, Sara, Fu, Sunyang, Vassilaki, Maria, Petersen, Ronald C, St Sauver, Jennifer, Sohn, Sunghwan

“…With the recent surge in the utilization of electronic health records for cognitive decline, the research community has turned its attention to conducting…”
Get full text

Assessing document section heterogeneity across multiple electronic health record systems for computational phenotyping: A case study of heart-failure phenotyping algorithm by Moon, Sungrim, Liu, Sijia, Kshatriya, Bhavani Singh Agnikula, Fu, Sunyang, Moser, Ethan D, Bielinski, Suzette J, Fan, Jungwei, Liu, Hongfang

“…The incorporation of information from clinical narratives is critical for computational phenotyping. The accurate interpretation of clinical terms highly…”
Get full text

Considerations for Quality Control Monitoring of Machine Learning Models in Clinical Practice by Faust, Louis, Wilson, Patrick, Asai, Shusaku, Fu, Sunyang, Liu, Hongfang, Ruan, Xiaoyang, Storlie, Curt

“…Integrating machine learning (ML) models into clinical practice presents a challenge of maintaining their efficacy over time. While existing literature offers…”
Get full text

Recommended practices and ethical considerations for natural language processing‐assisted observational research: A scoping review by Fu, Sunyang, Wang, Liwei, Moon, Sungrim, Zong, Nansu, He, Huan, Pejaver, Vikas, Relevo, Rose, Walden, Anita, Haendel, Melissa, Chute, Christopher G., Liu, Hongfang

“…An increasing number of studies have reported using natural language processing (NLP) to assist observational research by extracting clinical information from…”
Get full text

Association of Incidentally Discovered Covert Cerebrovascular Disease Identified Using Natural Language Processing and Future Dementia by Kent, David M, Leung, Lester Y, Zhou, Yichen, Luetmer, Patrick H, Kallmes, David F, Nelson, Jason, Fu, Sunyang, Puttock, Eric J, Zheng, Chengyi, Liu, Hongfang, Chen, Wansu

“…Background Covert cerebrovascular disease (CCD) has been shown to be associated with dementia in population-based studies with magnetic resonance imaging (MRI)…”
Get full text

Computational drug repurposing based on electronic health records: a scoping review by Zong, Nansu, Wen, Andrew, Moon, Sungrim, Fu, Sunyang, Wang, Liwei, Zhao, Yiqing, Yu, Yue, Huang, Ming, Wang, Yanshan, Zheng, Gang, Mielke, Michelle M., Cerhan, James R., Liu, Hongfang

“…Computational drug repurposing methods adapt Artificial intelligence (AI) algorithms for the discovery of new applications of approved or investigational…”
Get full text

Assessment of the impact of EHR heterogeneity for clinical research through a case study of silent brain infarction by Fu, Sunyang, Leung, Lester Y, Raulli, Anne-Olivia, Kallmes, David F, Kinsman, Kristin A, Nelson, Kristoff B, Clark, Michael S, Luetmer, Patrick H, Kingsbury, Paul R, Kent, David M, Liu, Hongfang

“…The rapid adoption of electronic health records (EHRs) holds great promise for advancing medicine through practice-based knowledge discovery. However, the…”
Get full text

Agreement between neuroimages and reports for natural language processing-based detection of silent brain infarcts and white matter disease by Leung, Lester Y, Fu, Sunyang, Luetmer, Patrick H, Kallmes, David F, Madan, Neel, Weinstein, Gene, Lehman, Vance T, Rydberg, Charlotte H, Nelson, Jason, Liu, Hongfang, Kent, David M

“…There are numerous barriers to identifying patients with silent brain infarcts (SBIs) and white matter disease (WMD) in routine clinical care. A natural…”
Get full text

The ENACT network is acting on housing instability and the unhoused using the open health natural language processing toolkit by Harris, Daniel R., Fu, Sunyang, Wen, Andrew, Corbeau, Alexandria, Henderson, Darren, Hilsman, Jordan, Oniani, David, Wang, Yanshan

“…Abstract Housing is an environmental social determinant of health that is linked to mortality and clinical outcomes. We developed a lexicon of housing-related…”
Get full text

Statins are rarely prescribed for incidentally discovered covert cerebrovascular disease: a retrospective cohort in a large electronic health record (EHR) identified using natural language processing by Leung, Lester Y, Puttock, Eric, Kallmes, David F, Luetmer, Patrick, Fu, Sunyang, Zheng, Chengyi X, Liu, Hongfang, Chen, Wansu, Kent, David M

“…Introduction While incidentally discovered covert cerebrovascular diseases (id-CCD) are associated with future stroke, it is not known if patients with id-CCD…”
Get full text

A framework for human evaluation of large language models in healthcare derived from literature review by Tam, Thomas Yu Chow, Sivarajkumar, Sonish, Kapoor, Sumit, Stolyar, Alisa V., Polanska, Katelyn, McCarthy, Karleigh R., Osterhoudt, Hunter, Wu, Xizhi, Visweswaran, Shyam, Fu, Sunyang, Mathur, Piyush, Cacciamani, Giovanni E., Sun, Cong, Peng, Yifan, Wang, Yanshan

“…With generative artificial intelligence (GenAI), particularly large language models (LLMs), continuing to make inroads in healthcare, assessing LLMs with human…”
Get full text

Quality assessment of functional status documentation in EHRs across different healthcare institutions by Fu, Sunyang, Vassilaki, Maria, Ibrahim, Omar A, Petersen, Ronald C, Pagali, Sandeep, St Sauver, Jennifer, Moon, Sungrim, Wang, Liwei, Fan, Jungwei W, Liu, Hongfang, Sohn, Sunghwan

“…The secondary use of electronic health records (EHRs) faces challenges in the form of varying data quality-related issues. To address that, we retrospectively…”
Get full text

Acquisition of a Lexicon for Family History Information: Bidirectional Encoder Representations From Transformers-Assisted Sublanguage Analysis by Wang, Liwei, He, Huan, Wen, Andrew, Moon, Sungrim, Fu, Sunyang, Peterson, Kevin J, Ai, Xuguang, Liu, Sijia, Kavuluru, Ramakanth, Liu, Hongfang

“…A patient's family history (FH) information significantly influences downstream clinical care. Despite this importance, there is no standardized method to…”
Get full text

The IMPACT framework and implementation for accessible in silico clinical phenotyping in the digital era by Wen, Andrew, He, Huan, Fu, Sunyang, Liu, Sijia, Miller, Kurt, Wang, Liwei, Roberts, Kirk E., Bedrick, Steven D., Hersh, William R., Liu, Hongfang

“…Clinical phenotyping is often a foundational requirement for obtaining datasets necessary for the development of digital health applications. Traditionally…”
Get full text

Impact of Diverse Data Sources on Computational Phenotyping by Wang, Liwei, Olson, Janet E, Bielinski, Suzette J, St Sauver, Jennifer L, Fu, Sunyang, He, Huan, Cicek, Mine S, Hathcock, Matthew A, Cerhan, James R, Liu, Hongfang

“…Electronic health records (EHRs) are widely adopted with a great potential to serve as a rich, integrated source of phenotype information. Computational…”
Get full text