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Prescriptions

Latest AI and machine learning research in prescriptions for healthcare professionals.

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Showing 673-693 of 6,782 articles
Improving the closing sequences of interaction between human and robot through conversation analysis.

This study employs Conversation Analysis to create a recursive model that improves the quality of hu...

Precision Opioid Prescription in ICU Surgery: Insights from an Interpretable Deep Learning Framework.

PURPOSE: Appropriate opioid management is crucial to reduce opioid overdose risk for ICU surgical pa...

Integrating machine learning and multitargeted drug design to combat antimicrobial resistance: a systematic review.

Antimicrobial resistance (AMR) is a critical global health challenge, undermining the efficacy of an...

Advancing healthcare through mobile collaboration: a survey of intelligent nursing robots research.

Mobile collaborative intelligent nursing robots have gained significant attention in the healthcare ...

Interaction effect between data discretization and data resampling for class-imbalanced medical datasets.

BackgroundData discretization is an important preprocessing step in data mining for the transfer of ...

"Several birds with one stone": exploring the potential of AI methods for multi-target drug design.

Drug discovery is a time-consuming and expensive process. Artificial intelligence (AI) methodologies...

Predicting Epidural Hematoma Expansion in Traumatic Brain Injury: A Machine Learning Approach.

IntroductionTraumatic brain injury (TBI) is a leading cause of disability and mortality worldwide, w...

Learning and fine-tuning a generic value-selection heuristic inside a constraint programming solver.

Constraint programming is known for being an efficient approach to solving combinatorial problems. I...

Gender disparities in rural motorcycle accidents: A neural network analysis of travel behavior impact.

Rural road accidents involving motorcycle riders present a formidable challenge to road safety globa...

Novel design of fractional cholesterol dynamics and drug concentrations model with analysis on machine predictive networks.

Within the intricate fabric of human physiology, cholesterol, a lipid present in cell membranes exer...

Triboelectric-Inertial Sensing Glove Enhanced by Charge-Retained Strategy for Human-Machine Interaction.

As technology advances, human-machine interaction (HMI) demands more intuitive and natural methods. ...

A novel deep learning approach to identify embryo morphokinetics in multiple time lapse systems.

The use of time lapse systems (TLS) in In Vitro Fertilization (IVF) labs to record developing embryo...

Deep multiple instance learning on heterogeneous graph for drug-disease association prediction.

Drug repositioning offers promising prospects for accelerating drug discovery by identifying potenti...

Basketball robot object detection and distance measurement based on ROS and IBN-YOLOv5s algorithms.

With the combination of artificial intelligence and robotics technology, more and more professional ...

Medication Prescription Policy for US Veterans With Metastatic Castration-Resistant Prostate Cancer: Causal Machine Learning Approach.

BACKGROUND: Prostate cancer is the second leading cause of death among American men. If detected and...

Transparent Machine Learning Model to Understand Drug Permeability through the Blood-Brain Barrier.

The blood-brain barrier (BBB) selectively regulates the passage of chemical compounds into and out o...

DMHGNN: Double multi-view heterogeneous graph neural network framework for drug-target interaction prediction.

Accurate identification of drug-target interactions (DTIs) plays a crucial role in drug discovery. C...

Deep learning pipeline for accelerating virtual screening in drug discovery.

In the race to combat ever-evolving diseases, the drug discovery process often faces the hurdles of ...

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