NEO-DEER Application icon

NEO-DEER 1.4

49.4 MB / 0+ Downloads / Rating 5.0 - 1 reviews


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NEO-DEER, developed and published by Farklıfikir Bilişim, has released its latest version, 1.4, on 2024-04-30. This app falls under the Tools category on the Google Play Store and has achieved over 10 installs. It currently holds an overall rating of 5.0, based on 1 reviews.

NEO-DEER APK available on this page is compatible with all Android devices that meet the required specifications (Android 5.0+). It can also be installed on PC and Mac using an Android emulator such as Bluestacks, LDPlayer, and others.

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App Screenshot

App Screenshot

App Details

Package name: com.vend.neodeer

Updated: 9 months ago

Developer Name: Farklıfikir Bilişim

Category: Tools

New features: Show more

App Permissions: Show more

Installation Instructions

This article outlines two straightforward methods for installing NEO-DEER on PC Windows and Mac.

Using BlueStacks

  1. Download the APK/XAPK file from this page.
  2. Install BlueStacks by visiting http://bluestacks.com.
  3. Open the APK/XAPK file by double-clicking it. This action will launch BlueStacks and begin the application's installation. If the APK file does not automatically open with BlueStacks, right-click on it and select 'Open with...', then navigate to BlueStacks. Alternatively, you can drag-and-drop the APK file onto the BlueStacks home screen.
  4. Wait a few seconds for the installation to complete. Once done, the installed app will appear on the BlueStacks home screen. Click its icon to start using the application.

Using LDPlayer

  1. Download and install LDPlayer from https://www.ldplayer.net.
  2. Drag the APK/XAPK file directly into LDPlayer.

If you have any questions, please don't hesitate to contact us.

Previous Versions

NEO-DEER 1.4
2024-04-30 / 49.4 MB / Android 5.0+

About this app

Tool: NEO-DEER: A Web-Tool for Machine Learning-Based Medication Error PredictionVersion: 1.0Published: 2022-01-06Contributors: Nadir Yalcin, PhD Merve Kasikci, MSc Hasan Tolga Celik, Assoc Prof, MD Karel Allegaert, Prof, MD Kutay Demirkan, Prof, PharmD Sule Yigit, Prof, MD Murat Yurdakok, Prof, MDLogo Designer: Nuri BeydemirDescription: Prospectively 11,908 medication orders from 412 NICU patients over 17 months were comprehensively analyzed by a pediatric clinical pharmacist. In 174 (42.2%) of these patients, at least one type of medication error (prescribing and monitoring process) originating from a physician was determined. Also, in 235 (57.0%) of these patients, at least one type of medication error (preparation and administration process) originating from a nurse was determined. A machine learning-based medication error prediction tool was developed with these data. The positive predictive value and AUC value are 0.944 and 0.920, respectively. It is estimated that medication errors can be prevented before they occur, with the use of this free, user-friendly, online, non-registered, and high-performance web-tool, which predicts medication errors in each patient admitted to the NICUs.

New features

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App Permissions

Allows applications to access information about networks.
Allows an application to read from external storage.
Required to be able to access the camera device.
Allows an application to record audio.
Allows an application to write to external storage.
Allows an app to access approximate location.
Allows an app to access precise location.
Allows applications to open network sockets.
Allows using PowerManager WakeLocks to keep processor from sleeping or screen from dimming.