e.g. mhealth
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Skip search results from other journals and go to results- 2 JMIR Human Factors
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For reports of lengths greater than what the model could accommodate, we split the report text into 1200-character-long segments, followed by converting each of these segments into machine-readable numerical representations called embeddings. As embeddings encode meaning, calculating similarity scores using the cosine similarity metric between segment embeddings and posed questions allowed us to retrieve the pieces of text most directly related to the content of the question.
JMIR Form Res 2025;9:e64544
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As nearly all information can be expressed in human language, recorded in text form in the radiology report, recent advancements in the development of large language models (LLMs) have opened new opportunities for medical information processing [21-24]. One of these autoregressive LLMs is GPT-3 used within the pretrained chatbot application version, named Chat GPT, developed by Open AI [25].
J Med Internet Res 2025;27:e48328
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We compared these results with those reported manually in a previous report [13].
Workflow of our natural language processing system, which is composed of named entity recognition, normalization, and aggregation. Text X and Text Y are examples of 2 types of documents respectively, for example, physician progress notes and pharmacist progress notes.
JMIR Med Inform 2024;12:e58977
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In instances of substantial similarity, only the most up-to-date report was included. Reports that were duplicative, unobtainable, or void of search terms were removed resulting in 1103 reports. If multiple therapeutics were discussed in a single report, the codebook was applied to each therapeutic. We randomly sampled a total of 550 news reports from our population to manage coder effort while allowing the capture of codes and themes among news reports.
JMIR Infodemiology 2024;4:e51328
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PSE reporting systems are tools that allow frontline health care personnel to voluntarily report adverse events, near-misses, and unsafe conditions [11]. Each PSE report includes structured data, such as event types, patient harm level, date, and location of the event, as well as unstructured data, including a free-text section that contains the factual description of the event and the patient’s outcome [12].
JMIR Hum Factors 2024;11:e53378
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They reported that their schema had a higher report coverage in their corpus.
In this study, we developed a 2-stage deep learning system for extracting clinical information from CT reports. For secondary use of the radiology reports, we believe that our system has some advantages compared with recent related works [18,20,22,25,26]. First, our 2-stage NLP system can represent clinical information in a structured format, which can be challenging when only using an entity extraction approach.
JMIR Med Inform 2023;11:e49041
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Assaulted HCWs were required to notify the WPV to the risk management office (hospital 1) or to the safety personnel (hospital 2) within 72 hours of occurrence by using a standardized, WPV-specific incident report data collection form, available on the hospitals’ intranet.
JMIR Public Health Surveill 2023;9:e47377
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Each clinic had previously used the C19-YRS self-report questionnaire in one-to-one tele-assessments of patients in their PCC services prior to the digital platform’s launch in June 2021.
JMIR Hum Factors 2023;10:e48632
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Transcripts from the focus group discussions will provide key agreement-based insights on why these items are important to report.
Mixed methods suit research objectives that cannot met by either qualitative or quantitative methodologies alone [20,21]. The sequential explanatory design is well suited for this research as the quantitative phase provides the recommended reporting items and the qualitative phase provides the rationale for reporting these items.
JMIR Res Protoc 2022;11(5):e35969
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Step 2 (obtain data), step 4 (run the AMASS), step 5 (review report), and step 6 (share report) are ongoing steps that users could repeat regularly (ie, monthly or quarterly). *Two data dictionary files (in Excel format) are provided to allow the application to understand how variables and values of each variable are named in the raw data files in different settings.
J Med Internet Res 2020;22(10):e19762
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