• 09:45

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  • 10:00

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  • 10:30

    Zdrava jabuka, sponzorirani program

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  • 13:15

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  • 16:00

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  • 18:00

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  • 18:30

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    Karte na stol, talk show (R)

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    TV Replika, kontakt emisija

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    Zlato ravnice, poljoprivredna emisija (R)

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    Akademska četvrt, mozaična emisija (R)

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    Dnevnik, informativna emisija

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    TV Koktel, mozaična emisija

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    City music, glazbena emisija

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    Budnica, talk show

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    To smo mi , putopisna reportaža

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    Dnevnik, informativna emisija (R)

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    TV Replika, informativna emisija (R)

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    Osijek pita, informativna emisija

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HiRID, a top time-resolution icu dataset. Anonymization procedure

Posted Variation: 1.0

Abstract

HiRID is a easily available care that is critical containing data concerning nearly 34 thousand patient admissions to your Department of Intensive Care Medicine associated with Bern University Hospital, Switzerland (ICU), an interdisciplinary 60-bed device admitting >6,500 clients each year. The ICU supplies the complete number of contemporary interdisciplinary care that is intensive for adult clients. The dataset was created in cooperation involving the Swiss Federal Institute of tech (ETH) ZГјrich, Switzerland additionally the ICU.

The dataset contains de-identified information that is demographic a total of 681 regularly gathered physiological factors, diagnostic test outcomes and therapy parameters from nearly 34 thousand admissions through the period. Information is saved by having an uniquely about time quality of just one entry every 2 minutes.

Background

Critical disease is seen as an the existence or danger of developing deadly organ dysfunction. Critically sick clients are usually looked after in intensive care units (ICUs), which focus on supplying monitoring that is continuous advanced therapeutic and diagnostic technologies. This dataset ended up being gathered during routine care during the Department of Intensive Care Medicine regarding the Bern University Hospital, Switzerland (ICU), an interdisciplinary unit that is 60-bed >6,500 clients each year. It had been initially removed to aid a research from the very very very early forecast of circulatory failure within the intensive care device machine learning 1 that is using. The documentation that is latest for the dataset is available2.

Techniques

The HiRID database has a big choice of all routinely gathered data relating to patient admissions to your Department of Intensive Care Medicine associated with the Bern University Hospital, Switzerland (ICU). The info ended up being obtained through the ICU individual information Management System which will be familiar with register that is prospectively wellness information, dimensions of organ function parameters, link between laboratory tests and therapy parameters from ICU admission to discharge.

Dimensions from bedside monitoring

Dimensions and settings of medical products such as for example technical air flow

Findings by healthcare providers e.g.: GCS, RASS, urine as well as other fluid production

Administered drugs, liquids and nutrition

HiRID has an increased time resolution than many other posted datasets, above all for bedside monitoring with many parameters recorded every two minutes.

To guarantee the anonymization of people into the information set, we used the procedures effectively sent applications for the MIMIC-IIwe and Amsterdam UMC db dataset, which adopted the wellness Insurance Portability and Accountability Act (HIPAA) secure Harbor needs and, when it comes to Amsterdam UMC db, additionally the European Union’s General information Protection Regulation (GDPR) standards 3,4.

Elimination of all eighteen data that are identifying placed in HIPAA

Times were shifted by a random offset such that the admission date lies. We ensured to protect the seasonality, period of time while the day’s week.

Individual age, weight and height are binned into containers of size 5. The max bin is 90 years and contains also all older patients for patient age.

Dimensions and medicines with changing devices in the long run had been standardised into the unit that is latest used. This standardization had been required to create a conclusion about calculated admission times, on the basis of the devices found in a patient that is specific impossible.

Complimentary text ended up being taken out of the database

k-anonymization was applied on patient age, weight, sex and height.

Ethical approval and client permission

The review that is institutional (IRB) associated with the Canton of Bern authorized the analysis. The necessity for acquiring informed client consent ended up being waived due to the retrospective and observational nature regarding the research.

Information Description

The general information is for sale in two states: as natural information and/or as pre-processed information. Also you can find three guide tables for adjustable lookup.

Guide tables

adjustable guide – guide table for factors (for natural phase)

ordinal adjustable guide – guide dining dining table for categorical/ordinal variables for string value lookup

pre-processed adjustable guide – guide dining dining dining table for factors (for merged and stage that is imputed

sugardaddyforme

Natural information

The raw information was just processed if this is necessary for patient de-identification and otherwise left unchanged set alongside the source that is original. The foundation information offers the complete collection of available factors (685 factors). It is composed of the after tables:

Preprocessed information

The pre-processed information is composed of intermediary pipeline phases from the accompanying book by Hyland et al 1. Supply factors representing exactly the same medical ideas had been merged into one meta-variable per concept. The information provides the 18 many meta-variables that are predictive, as defined within our book. Two various phases of this pipeline can be obtained

Merged phase supply factors are merged into meta-variables by medical ideas e.g. non-opioid-analgesics. Enough time grid is left unchanged and it is sparse.

Imputed phase the info through the merged stage is down sampled to a time grid that is five-minute. Enough time grid is full of imputed values. The imputation strategy is complex and it is talked about into the publication that is original.

The rule utilized to create these phases are available in this GitHub repository under the preprocessing folder 5.

Which information to utilize?

The pre-processed information is intended primarily as being a quick method to jump-start a task or even for used in an evidence of concept. We advice utilising the supply data whenever you can for regular jobs. This is the many versatile kind and possesses the whole collection of factors within the initial time quality.

Data platforms

Information is obtainable in two platforms: CSV for wide compatibility and Apache Parquet for performance and convenience.

Because the information sets are fairly large, they’ve been split up into partitions, so that they may be prepared in parallel in a way that is straightforward. The lookup dining table mapping patient id to partition id is supplied into the file called combined with the information. The partitions are aligned involving the various information sets and tables, in a way that the info of an individual can invariably be located when you look at the partition aided by the id that is same. Note however, that an individual might not take place in all data sets, e.g. a patient may be lacking into the data that are preprocessed because an individual don’t meet with the demographic requirements become within the research.

Patient ID / ICU admission

The dataset treats each ICU admission uniquely and it’s also extremely hard to determine numerous ICU admissions as originating from the patient that is same. For each ICU (re-)admission a distinctive “Patient ID” is created.

Information schemata

The schemata of each and every dining dining dining table are available in the *schemata.pdf* file.

Use Records

Given that database contains detailed information about the care that is clinical of, it should be addressed with appropriate care and respect.

Scientists have to formally request access via PhysioNet. The user has to be a credentialed PhysioNet user, digitally sign the Data Use Agreement and provide a specific research question to be granted access.

Conflicts of Interest

The writers declare no disputes of great interest

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Access

Access Policy: Only PhysioNet credentialed users whom signal the specified DUA can access the files.

Impressum

DIREKTORICA I GLAVNA UREDNICA

Ružica Smolčić

031 400 000

urednik@ostv.hr

VODITELJ TEHNIKE

Dario Čakmak

rezija@ostv.hr

VODITELJICA MARKETINGA

Mirjana Mlinarević

031 400 003

marketing@ostv.hr

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