diabetes | rising notion of a diabetes data bus
kandi X-RAY | diabetes Summary
kandi X-RAY | diabetes Summary
There’s a rising notion of a diabetes data bus. A system which integrates data collected from a variety of systems, and communicates that data to authorized users. In addition, this infrastructure would support agents from an expert systems presenting analyses and simulations of expected results. Diabetics own multiple mobile computers that record biometric data on a regular basis. This typically includes a menagerie of glucometers, of which I own at least 5, 2 of which are in active rotation at any given time. I also use an insulin pump, like many diabetics, and it keeps logs of insulin given, as well as performs opaque simulations on expected results. In addition, there are ancillary devices that measure interstitial glucose levels on a real-time basis, as well as pedometers, sleep monitors, and the list goes on ad nauseum. With so many sources of data critical to managing medical therapy, it is impossible to predict the new sources of data that will arise. It’s also impossible to replace all the existing devices with new devices that are designed to cooperate with one another. However, all existing devices have a serial port with which an authorized agent can communicate with the device in order to audit therapeutic details. Therefore, it’s much easier to adapt existing devices into a common framework that knows how to present data to expert systems, knows how to store data over time, and knows how to keep the user connected to that data in ways that allow better decision making. Despite all the data currently logged by devices, how much of it is leveraged to drive ongoing decisions? The proprietary software offered by medical industry offers snapshots of interesting data from the past, and then asks the user to manually fill in any missing data. Each manufacturer offers a perspective that their software knows everything about managing diabetes, and in so doing fails to offer a holistic perspective on therapy. Instead, a data bus accepts input from a variety of sources, aggregates it with other available sources, and makes it available to the user at any time and any place. The user can choose which applications can subscribe to data, as well as re-route and transform data into those applications. Indivo already provides the container for aggregating a user’s data with customizable schema types. Cube offers a great presentation engine for arbitrary data. When the two are tweaked to manage the data from diabetic therapy, we have a diabetic data bus.
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QUESTION
I am trying to create scatter plots of all the combinations for the columns: insulin
, sspg
, glucose
(mclust, diabetes dataset, in R) with class as the colo(u)r. By that I mean insulin with sspg, insulin with glucose and sspg with glucose.
And I would like to do that with tidyverse, purrr, mappings and pipe operations. I can't quite get it to work, since I'm relatively new to R and functional programming.
When I load the data I've got the columns: class, glucose, insulin and sspg. I also used pivot_longer
to get the columns: attr and value but I was not able to plot it and don't know how to create the combinations.
I assume that there will be an iwalk()
or map2()
function at the end and that I might have to use group_by()
and nest()
and maybe combn(., m=2)
for the combinations or something like that. But it will probably have some way simpler solution that I can not see myself.
My attempts have amounted to this:
...ANSWER
Answered 2021-Jun-15 at 17:34library(mclust)
#> Package 'mclust' version 5.4.7
#> Type 'citation("mclust")' for citing this R package in publications.
library(tidyverse)
data("diabetes")
QUESTION
So i got a page with a series of switches that are based on the following values:
...ANSWER
Answered 2021-Jun-10 at 19:37You can pass setValues()
a function which updates the state based on the previous state. The function takes the previous state and returns the new state. That way, you don't have to refer to the values
defined outside of the useEffect()
hook.
For example,
QUESTION
I applied case_when
to a text data of thousands of rows to detect strings with multiple conditions and replace them but got a wrong result because case_when
doesn't execute the remaining conditions once a condition is met. I have seen a solution in How to detect more than one regex in a case_when statement, but the solution does not have multiplicity of multiple conditions such as in my data.
Any alternative to case_when
will be is appreciated.
This is the dummy data:
...ANSWER
Answered 2021-Jan-22 at 06:51You may use case_when
with grepl
and a regex alternation:
QUESTION
Im creating a medical app and i got a react class that uses hooks and looks like this.
...ANSWER
Answered 2021-Jun-10 at 00:55let newValues = values // create a variable of value
// turn newValues into entries.
// example {asthma: "off", cancer: "off"} => [['asthma', 'off'], ['cancer', 'off']]
// now you can map through each property of the object
let valueArray = Object.entries(newValues).map((v, index) => {
v[1] = switchValues[index]
return v
}
// turn entries back to object
newValues = Object.fromEntries(valueArray)
// set back into state
setValues({...newValues})
QUESTION
I want to get the response.data (JSON Object) with value only in the new object on update form i.e. I want to filter it on computed/created on vue 3 - the json object received from API. My backend is Laravel 8 resource API.
On EditPatient.vue - The vue js is
...ANSWER
Answered 2021-May-24 at 20:41To get only the object properties that are not empty/null:
Use
Object.entries()
on theresponse.data
object to get an array of key/value pairs.Use
Array.prototype.filter()
on the result, filtering out empty string andnull
.Use
Object.fromEntries()
on the filtered result to create an object.
QUESTION
When I try to run the experiment defined in this notebook in notebook, I encountered an error when it is creating the conda env. The error occurs when the below cell is executed:
...ANSWER
Answered 2021-May-21 at 17:43Totally been in your shoes before. This code sample seems a smidge out of date. Using this notebook as a reference, can you try the following?
QUESTION
I'm trying to produce a scatter plot with ggplot for a shiny web app, to show the relationship between two variables(age and platelets, both numeric). Moreover, I want to add two additional dimensions to show possible differences in the linear relationship, plotted with color and shape (diabetes and anemia, both factor variables with possible values 0 or 1).
...ANSWER
Answered 2021-May-30 at 12:59ggplot2's default behavior is to have separate guides for each variable like you want. See the example below with code that is equivalent to what you have written.
QUESTION
I have been struggling to find continuous tidyverse
approach with pipes %>%
for calculating ratio between 2 character variables.
Tidyverse
approach should have only 1 continuous line using pipes %>%
.
Here are data frame
.
ANSWER
Answered 2021-May-11 at 19:24Instead of grouping by both columns, we get the count of 'Yes' in both with summarise
and across
, then return the 'ratio' of both columns
QUESTION
I have a logistic regression model like this
...ANSWER
Answered 2021-May-09 at 11:48I solved it by making a function that finds the odds of my logistic regression, and dividing this with the odds of a patient of 50 years of age having diabetes.
Fist I made the logistic regression model with interaction, saved the estimates as b0,b1,b2,b3 and then made the function
Like this:
QUESTION
I have a diabetes dataset that has a column called Outcome and only has two values, 1 = Diabetes, 0 = Non-Diabetes. I want to count the total number of 1's and 0's based on age and then have a % of 1's based on age.
I have this code below:
...ANSWER
Answered 2021-May-04 at 16:32Random data:
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