Articles with "free text" as a keyword



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A Hybrid Reporting Platform for Extended RadLex Coding Combining Structured Reporting Templates and Natural Language Processing

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Published in 2020 at "Journal of Digital Imaging"

DOI: 10.1007/s10278-020-00342-0

Abstract: Structured reporting is a favorable and sustainable form of reporting in radiology. Among its advantages are better presentation, clearer nomenclature, and higher quality. By using MRRT-compliant templates, the content of the categorized items (e.g., select… read more here.

Keywords: reporting; free text; hybrid reporting; structured reporting ... See more keywords

Information needs in breast reconstruction after mastectomy: a qualitative analysis of free-text responses from 2077 women

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Published in 2024 at "Breast Cancer Research and Treatment"

DOI: 10.1007/s10549-023-07240-3

Abstract: For many, breast reconstruction following mastectomy (BR) forms an integral part of breast cancer survivorship. For those considering BR, provision of information is essential to allow informed decisions. Using free-text responses from a survey of… read more here.

Keywords: information; breast; text responses; free text ... See more keywords

Analyzing free-text survey responses: An accessible strategy for developing patient-centered programs and program evaluation.

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Published in 2019 at "Evaluation and program planning"

DOI: 10.1016/j.evalprogplan.2019.101733

Abstract: Despite widespread availability of yoga in the Veterans Health Administration (VA), it remains unclear how to best evaluate yoga programs. This is particularly problematic for programs aimed at veterans with mental health concerns, as evaluation… read more here.

Keywords: patient centered; free text; program; evaluation ... See more keywords

Looking for low vision: Predicting visual prognosis by fusing structured and free-text data from electronic health records

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Published in 2022 at "International journal of medical informatics"

DOI: 10.1016/j.ijmedinf.2021.104678

Abstract: INTRODUCTION Low vision rehabilitation improves quality-of-life for visually impaired patients, but referral rates fall short of national guidelines. Automatically identifying, from electronic health records (EHR), patients with poor visual prognosis could allow targeted referrals to… read more here.

Keywords: vision; prognosis; ophthalmology; free text ... See more keywords
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LATTE: A knowledge-based method to normalize various expressions of laboratory test results in free text of Chinese electronic health records

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Published in 2020 at "Journal of biomedical informatics"

DOI: 10.1016/j.jbi.2019.103372

Abstract: BACKGROUND A wealth of clinical information is buried in free text of electronic health records (EHR), and converting clinical information to machine-understandable form is crucial for the secondary use of EHRs. Laboratory test results, as… read more here.

Keywords: laboratory test; free text; method; test results ... See more keywords

Extracting antibiotic susceptibility from free-text microbiology reports using natural language processing

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Published in 2025 at "Infection Control and Hospital Epidemiology"

DOI: 10.1017/ice.2025.10210

Abstract: Abstract There is a clinical need to appropriately apply large language model (LLM)-based systems for use in infectious diseases. We sought to use LLM and machine learning for extracting antibiotic susceptibility from clinical microbiology free-text… read more here.

Keywords: microbiology; antibiotic susceptibility; free text; extracting antibiotic ... See more keywords
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Predicting adult neuroscience intensive care unit admission from emergency department triage using a retrospective, tabular-free text machine learning approach

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Published in 2021 at "Scientific Reports"

DOI: 10.1038/s41598-021-80985-3

Abstract: Early admission to the neurosciences intensive care unit (NSICU) is associated with improved patient outcomes. Natural language processing offers new possibilities for mining free text in electronic health record data. We sought to develop a… read more here.

Keywords: machine learning; admission; free text; model ... See more keywords

Advancing psychological assessment: quantifying self-compassion through free-text responses and language model BERT

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Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-02801-6

Abstract: Self-compassion, which refers to compassion directed toward oneself, is associated with mental health and well-being. Traditionally, self-compassion has been measured and quantified using rating scales such as the Self-Compassion Scale (SCS) and Compassionate Engagement and… read more here.

Keywords: language; free text; model; self compassion ... See more keywords

Decoding the mind of self-compassion through a topic modeling analysis of 9000+ free-text narratives

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Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-20682-7

Abstract: Self-compassion, defined as compassion directed toward oneself in difficult situations, has been widely studied; however, the specific cognitive and behavioral patterns associated with it remain poorly understood. Participants (780 Japanese individuals; mean age = 43.0, SD = 10.6, range = 19–75)… read more here.

Keywords: compassion; free text; topic; self compassion ... See more keywords

ATCodeR: a dictionary-based R-tool to standardize medication free-text

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Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-97150-9

Abstract: Over the past decades, oncology treatment paradigms have developed significantly. Yet, the often unstructured nature of substance-related documentation in medical records presents a time-consuming challenge for analyzing treatment patterns and outcomes. To advance oncological research… read more here.

Keywords: tool; dictionary based; medication; free text ... See more keywords

Pseudo-randomized testing of a discharge medication alert to reduce free-text prescribing.

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Published in 2023 at "Applied clinical informatics"

DOI: 10.1055/a-2068-6940

Abstract: BACKGROUND Pseudo-randomized testing can be applied to perform rigorous yet practical evaluations of clinical decision support tools. We apply this methodology to an interruptive alert aimed at reducing free-text prescriptions. Using free-text instead of structured… read more here.

Keywords: medication; pseudo randomized; free text; randomized testing ... See more keywords