Soe Htike

I’m also stuck with an error message in Exceedence Probability.

> exc1 <- sapply(mod.eco.reg$marginals.fitted.values,FUN = function(marg){1 – inla.pmarginal(q = 1, marginal = marg)})
> summary(exc1)
Length Class Mode
0 list list
> exc1.cutoff <- c(0, 0.8, 0.9, 0.95, 1)
> cat.exc1<-…[Read more]

Thanks for your discussion points, friends. I do agree with all of you about the enhanced predictive accuracy, timeliness of predictions and even the challenges in data alignment.
When I was preparing this article to present to you, I had a few concerns about the scalability and adaptability of the system if my country were to adapt and implement…[Read more]

The author’s interest in investigating the suicide problem in Thailand during the specified time stems from the increasing recognition of suicide as a significant public health issue. Thailand, like many other countries, faces complex social and economic challenges that may influence mental health and suicide rates. By examining the determinants…[Read more]

In mental health settings, ePROs are fundamental for clinicians to effectively monitor patients’ moods, anxiety levels, and treatment progress. This real-time data collection is crucial for timely interventions and adjustments to treatment plans. For patients with chronic illnesses, the use of ePROs is vital to improve patient engagement and…[Read more]

Ko Phyo downloaded maptools package from CRAN archives. We manually installed it in our updated R Studio. It worked fine but showed warning messages like “it won’t be available for so long in the future” or something like that.
I searched for updated packages for maptools and installed “sp” and “terra,” but none of them worked with the codes. So,…[Read more]

Thanks for your suggestion, Ajarn Chawarat. After discussing with Ko Phyo, I used maptools and lettuce packages. It went well in the end.

In our country, one main challenge to achieving sustainability in HIS is the reliance on external funding. Donors initially fund many HIS projects, but their project lifespan is too short for the local agencies and health systems to maintain these systems. I think countries like ours need to consider developing strategies for integrating HIS into…[Read more]

1. Differences in Perceived Ease of Use and Usefulness Among Different Demographics

Age
Younger users generally find e-health applications easier to use due to greater familiarity with technology, while older users may struggle due to less experience and potential physical limitations. Younger users might value features that offer convenience,…[Read more]

Thanks for your suggestion, Ko Phyo.

I’m stuck in the command while adding a new column in the matched table.

> data.suicides$ID <- seq(1, Nareas)

Error message is “replacement has 32 rows, data has 0”. So I think the two tables matched are not matched in the earlier steps. But I’m not sure and I dont’t know how to fix the error. So I’m…[Read more]

1. Reasons for Limited Incorporation of Locations in Epidemiological Research and the Interdisciplinary Nature of Spatial Epidemiology
The lack of attention to location in epidemiological research has historical reasons. Collecting and analyzing spatial data has been challenging, and early studies were limited by the lack of tools and methods to…[Read more]

We can increase awareness and provide training to healthcare providers for accurate and timely reporting. Regular refresher training sessions can help maintain high data collection and reporting standards. Improve communication and coordination between different hospital units, such as the antenatal care clinic, STI/HIV clinic, and health…[Read more]

To improve epidemic surveillance using AI, we can integrate it with current public health systems. We should update our systems to handle big data sets and ensure AI tools can easily share data with public health databases. We should also train healthcare workers to use AI effectively and create user-friendly interfaces. Using advanced machine…[Read more]

Apart from the points mentioned above, I’d like to add the level of awareness and education about HIV/STI and RH issues can determine how and when youth seek information. We can evaluate the effectiveness of school-based sex education programs and the overall knowledge levels among young people regarding HIV/STI prevention and RH. The other issue…[Read more]

The decision tree model developed to predict massive intraoperative blood loss (IBL) in pancreatic surgery is very effective. It can accurately identify high-risk patients and help plan surgeries. The model has over 80% accuracy in training and testing sets, showing that it can reliably predict which patients are at higher risk of significant…[Read more]

A tool to manage non-communicable diseases (NCDs) led by a nurse or community health worker can effectively help in areas with few healthcare workers. With the right training and support, these professionals can handle NCDs well. Projects like the mPower Heart Project have proven these interventions can improve patient outcomes in places with…[Read more]

Some additional ways to improve the safety of medical AI
In the first point, I would like to emphasize the importance of having human experts review AI recommendations before making clinical decisions. For instance, PathAI offers diagnostic suggestions that are reviewed and confirmed by pathologists. This approach combines AI accuracy with human…[Read more]