e.g. mhealth
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The idea is to prioritize code pairs that show a temporal dependency. The CCS function will provide a numerical estimate for such temporal relations, and in practice, code pairs (ci, cj) with large CCS (ci, cj) values are sampled more often than pairs with smaller values. We defined the CCS function as follows:
Here, CCnt(ci, cj) is the count of all occurrences of code pairs (ci, cj) with the condition that code ci appears after code cj and that they are located in different visits.
JMIR Med Inform 2025;13:e68138
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Most studies have used a previous number of cases to capture the temporal dynamics of time-series data using autoregressive [2,3], conventional machine learning [4-6], and deep learning [7,8] models. However, using only the previous number of cases cannot reflect temporal variation due to external factors such as outbreaks with social events, new variants, and quarantine policy.
J Med Internet Res 2024;26:e63476
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Telemedicine transcends temporal and spatial constraints [13], mitigating the risk of delayed or missed medical consultations for patients with chronic diseases [8,14,15]. Consequently, it curtails the financial burden associated with untimely interventions [16,17]. The assessment of access mostly relies on the quantification of medical consultations (ie, number of visits in a given period). Research on telemedicine’s impact on improving access can be categorized into 2 distinct groups.
J Med Internet Res 2024;26:e57814
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Peer Review of “Human Brucellosis in Iraq: Spatiotemporal Data Analysis From 2007-2018”
temporal
JMIRx Med 2024;5:e60433
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Peer Review of “Human Brucellosis in Iraq: Spatiotemporal Data Analysis From 2007-2018”
temporal
JMIRx Med 2024;5:e60394
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Human Brucellosis in Iraq: Spatiotemporal Data Analysis From 2007-2018
This study uses official data from the Ministry of Health (Mo H) to identify potential changes in the spatial and temporal occurrence of human brucellosis cases in Iraq from 2007 to 2018.
This was a descriptive, retrospective study of the spatial and temporal distribution of human brucellosis from 2007 to 2018.
Human brucellosis data were extracted from the surveillance database at the Surveillance Section at the Communicable Diseases Control Center (CDC), Public Health Directorate, Mo H in Iraq.
JMIRx Med 2024;5:e54611
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