e.g. mhealth
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Skip search results from other journals and go to results- 4 JMIR Medical Informatics
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Greaves et al [13] applied a machine learning classification approach to group unstructured online comments regarding health care experience into categories and analyzed their associations with traditional patient experience surveys; their results revealed that free-text feedback could predict patients’ quantitative ratings of hospital care with reasonable accuracy.
As the world becomes more digitally oriented, social media platforms will be an increasingly important channel for health care promotion.
JMIR Med Inform 2024;12:e59249
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This is particularly the case for information only accessible within unstructured data, such as clinical narratives, due to the intrinsic nature of human language. The same information can be expressed in many different ways, making the task of algorithmic extraction and standardization for computational semantic interpretation very challenging. Concurrently, however, as much as 80% of clinically relevant information has been found to only be accessible in unstructured form [1].
JMIR Med Inform 2024;12:e49997
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The implementation of the electronic medical record (EMR) in health care systems has resulted in a remarkable increase in the amount of digital patient data [1], much of which is text-based and stored in an unstructured, narrative format [2-4]. While unstructured text is a rich data source, analyses of these data often require time- and cost-intensive manual processing [3].
JMIR Neurotech 2024;3:e51822
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Natural Language Processing (NLP) has emerged as a powerful tool in recent years, enabling the processing and analysis of vast amounts of unstructured textual data in various domains, including healthcare and clinical practice [2] (added [3]).
JMIR Med Inform 2023;11:e48933
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Among the various NLP tasks, information extraction (IE) plays a central role in extracting structured information from unstructured texts. IE mainly consists of two steps: (1) the extraction of specified entities such as person, location, and organization from the text and (2) the extraction of semantic relation between 2 entities (eg,location_ofandemployee_of) [6,7].
Earlier IE systems mainly used heuristic methods such as dictionary-based approaches and regular expressions [8-10].
JMIR Med Inform 2023;11:e49041
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Advances in computing technology and availability of electronic health record (EHR) data—both structured, such as billing codes, and unstructured, such as clinical notes—present opportunities to assist health care systems and providers in more accurately identifying ICs and at-risk older adults [6,9,10].
JMIR Res Protoc 2023;12:e48521
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Where unstructured clinical notes contain rich subjective information [8-10]. A radiology report records a patient’s condition created by a health care professional, such as a doctor, and contains medical evaluation information [11].
JMIR Form Res 2022;6(11):e38677
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