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Medical Informatics Europe (MIE), 2021
Using computable phenotypes in point of care clinical trial recruitment
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The paper is intended for Clinical Trial SAS® programmers who create and validate a complex ADaM dataset. Some ADaM datasets require the use of complex algorithms. These algorithms could require several steps of data manipulation and more than one SDTM datasets. It can be very challenging to create a complex ADaM dataset in accordance with ADaM data structures and standards. Furthermore, it can be equally as challenging to validate those ADaM datasets. The paper will introduce three different ways to create a complex ADaM dataset. The first way is to create ADaM from SDTM directly without any intermediate permanent datasets. The second way is to create ADaM through the intermediate permanent datasets like SDTM+ or ADaM+ from SDTM. The third way is to create the final ADaM through the intermediate ADaM from SDTM. The paper will discuss the benefits and limitations of each method and also show some examples.
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Breathing New Life into MySQL Apps With Advanced Postgres Capabilities
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🐬 The future of MySQL is Postgres 🐘
RTylerCroy
This project focuses on implementing real-time object detection using Raspberry Pi and OpenCV. Real-time object detection is a critical aspect of computer vision applications, allowing systems to identify and locate objects within a live video stream instantly.
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
Khem
45-60 minute session deck from introducing Google Apps Script to developers, IT leadership, and other technical professionals.
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Automating Google Workspace (GWS) & more with Apps Script
wesley chun
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The 7 Things I Know About Cyber Security After 25 Years | April 2024
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🐬 The future of MySQL is Postgres 🐘
🐬 The future of MySQL is Postgres 🐘
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
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