e.g. mhealth
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Skip search results from other journals and go to results- 4 Journal of Medical Internet Research
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Current NER tasks in the medical domain are primarily focused on Chinese NER, which presents a challenge due to unclear entity boundaries and difficulties in Chinese word segmentation, thereby undermining model performance.
Based on the above problems, this paper proposes a Segmentation Synonym Sentence Synthesis (SSSS) algorithm based on proximity lexical expressions, which was extensively validated on the China Conference on Knowledge Graph and Semantic Computing (CCKS) 2017 and 2019 datasets.
JMIR Med Inform 2024;12:e60334
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To this end, Hawkins et al [15] developed a framework in which the application of personalization and tailoring is described in terms of segmentation and customization. Segmentation is “the degree to which the audience is divided into increasingly more defined, homogenous groups,” a concept that originated in marketing [26].
J Med Internet Res 2024;26:e50497
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This is a peer-review report submitted for the preprint “A Hybrid Pipeline for Covid-19 Screening Incorporating Lungs Segmentation and Wavelet Based Preprocessing of Chest X-Rays.”
This review is the result of a live review organized and hosted by PREreview and JMIR Publications on September 2, 2022. The call was joined by 15 people, including reviewers, preprint authors, and facilitators.
JMIRx Med 2024;5:e64675
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Further, we discuss the conceptual value provided by the results from the development and validation of this market segmentation approach in the context of the broader market segmentation literature.
Market segmentation is a tool commonly applied to understand the attitudes, beliefs, and behaviors of homogenous subpopulations [9], which facilitates the development and placement of messages.
JMIR Public Health Surveill 2024;10:e56044
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Crowdsourcing data from a large number of nonexpert participants has been widely used for many medical applications [10,11], including bioinformatics [12], histology image labelling and cell segmentation [13-15], demarcating organs and regions of disease in both 2 D and 3 D radiology images [16,17], and combining crowd opinions with AI models for improving the severity scoring of diabetic retinopathy [18].
JMIR Dermatol 2023;6:e48589
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More specifically, this review aims to identify the common techniques that were developed to use Vi T for brain tumor segmentation and whether Vi Ts were effective in enhancing the segmentation performance. This review also identifies the common modality of brain imaging data used for training Vi T for brain tumor segmentation. Moreover, this review identifies the commonly used data sets for the brain tumor that contributed to developing Vi T-based models.
JMIR Med Inform 2023;11:e47445
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COVID-19 Mask Usage and Social Distancing in Social Media Images: Large-scale Deep Learning Analysis
There is no previous work trying to analyze mask fit using semantic segmentation to the best of our knowledge.
Therefore, this study fills the gap with a pipeline designed to estimate the extent of mask behaviors by assessing mask use and mask fit from 2.04 million social media images obtained from 6 US cities. Along with geographical diversity among the cities, the 6 cities also have high population numbers.
JMIR Public Health Surveill 2022;8(1):e26868
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Time-intensive manual segmentation and dose optimization steps can introduce delays to treatment.
Automated (ie, computer-performed) segmentation has the potential to address these challenges. However, most segmentation algorithms in clinical use are atlas based, producing segmentations by fitting previously labeled reference images to the new target scan.
J Med Internet Res 2021;23(7):e26151
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Using Narrative Evidence to Convey Health Information on Social Media: The Case of COVID-19
This narrative should contain the following components: segmentation, barrier reduction, role modeling, empathy and support, tools to promote self and collective efficacy and coping, preventing the stigmatization of at-risk populations, and communication of uncertainty.
The literature underscores the importance of segmenting [91,92] and mapping [93,94] each subgroup in the population to tailor [95,96] the information and media campaign to the barriers, risks, concerns, and unique needs of each group.
J Med Internet Res 2021;23(3):e24948
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A radial artery pulse wave series was segmented into periods by the segmentation method detailed in the Preprocessing section with α=.7. The segments of the original waveform between two adjacent segmentation points are regarded as single-period pulse waveforms. A and B show the abnormal segments caused by segmentation error and serious interference, respectively; C shows a normal segment; t (s): time in seconds.
The early approach was to omit the waveform outliers that were too long or too short [8].
JMIR Med Inform 2020;8(6):e18134
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