keyword machine-learning 
Rethinking Clinical Trials
AUGUST 10, 2023
They use motivation, game design, competition, curiosity, collaboration, challenges, media, and learning to accomplish something. Those NPCs learn from interacting with human intelligence. The important thing is to learn and adapt to the changes. In an interactive video game, people interact with NPCs (non-player characters).
Bioengineer
JULY 21, 2021
Researchers first to model COVID-19 completion vs. cessation study using machine learning. Researchers from Florida Atlantic University’s College of Engineering and Computer Science are the first to model COVID-19 completion versus cessation in clinical trials using machine learning algorithms and ensemble learning.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Rethinking Clinical Trials
APRIL 13, 2023
Key learnings from the studies highlighted included the need for more transparency as to the reason for a nudge, limiting the number of choices in CDS intervention, passive CDS is often ineffective and it is critical to provide the path for the individual to immediately act.
Rethinking Clinical Trials
APRIL 27, 2023
MyTEMP was innovative and pragmatic, implemented as part of a learning healthcare system, with covariate constrained randomization, registry-based, and embedded in routine care delivered by more than 2,000 nurses at 84 centers. Learn more Read about the MyTEMP trial in The Lancet. degrees Celsius.
Intouch Solutions
JULY 22, 2021
And while previous changes surrounded the management of account elements like keyword match types and the addition of responsive search ads, upcoming changes will tackle the account success metrics and KPIs. Before jumping into automated strategies, it’s vital to be crystal clear on business objectives, goals, and KPIs.
Cloudbyz
JUNE 5, 2023
Intelligent Search and Retrieval: Traditional search methods within eTMFs often rely on manual keyword-based searches, which may lead to incomplete or irrelevant results. By leveraging machine learning algorithms, it can detect deviations from predefined benchmarks or thresholds, triggering real-time alerts.
pharmaphorum
SEPTEMBER 21, 2020
For example, you can use NLP and machine learning for tagging insights with keywords automatically, and use human analysis for complex message extraction to help find strategic trends across insights. This will enable insights from multiple sources to be analysed in the same way – a critical component for good reporting.
Expert insights. Personalized for you.
130 
Let's personalize your content