FollowUp | public dataset for followup-query analysis | SQL Database library

First Option:

You can use watch property of vue.js and before rendering patient property you need add v-if as below so that it won't be rendered on DOM until it has some truthy value.

template:

script:

From my little research, pandas seems to have some tricky way of doing it. have you tried import warnings; warnings.filterwarnings("ignore")?

You can also check this thread. And if the warning persists just let it be, it won't stop your code from running.

If you have this many rows, I imagine it will be faster to first remove the records one step at a time. Regex is typically slow so you could use that as a last step with a much smaller data frame.

For example:

Almost every C or C++ compiler, likely including every compiler that would be suitable for tasks that would involve bit_cast, includes configuration options to extend the languages by defining behaviors upon which the Standard imposes no requirements. I haven't seen the any published Rationale documents for the C++ Standard, but the authors of the C Standard explicitly describe UB as, among other things, identifying areas of "conforming language extension", and regard support for such "popular extensions" as a quality-of-implementation issue outside the Standard's jurisdiction.

The fact that a construct would not be portable among all C or C++ compiler configurations does not imply that it cannot or should not be safely used on configurations that support it. I'd suggest designing some headers that can define macros to handle things one of three ways, depending upon implementation:

1. For implementations that support bit_cast, use that.

2. For implementations that extend the language with compiler-specific syntax to allow support for type punning, use that.

3. For other implementations, specify that compilers must be configured to extend the language with support for type punning at least when using common sequences of operations.

While there may exist implementations for which none of those approaches would be suitable, on most implementations at least one of them would be effective.

Just to click this element use css selector. * means finding any text as specified after =.

Here is an idea. I filtered the nearest days around the desired time (year_in_days) for each study_id. Then I calculated a regression line between these points and predicted the Score for the year_in_days. In a last step I calculated the mean over all predictions.

You might get a lot of warnings while filtering because a lot study_id groups won't have any value - just NA.

Code

Try this.

Joins to subqueries really adversely affect performance. I replace those when possible with joins to views.

And I've found that even something like your line in the WHERE clause... r.id not in (select lead_id from asap_blacklist) goes a lot faster when replaced by: LEFT JOIN ASAP_BlackList BL ON BL.Lead_ID = R.ID ...and AND BL.Lead_ID IS NULL