A smarter way to approach AI prompting

Prompts describe tasks. Rubrics define rules. Here’s how rubric-based prompting reduces hallucinations in search and content workflows.
IEEE

FPGA-based Automatic Pill Dispenser using Decision Tree Classifier

Abstract: Accurate pill dispensing is crucial for ensuring effective medication management, particularly for elderly individuals and patients with chronic conditions. In this research, we propose an ...
Open Heart

Severe aortic stenosis detection using seismocardiography

Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...
Frontiers

Classification of angioedema types using decision tree modeling

Introduction: All angioedema (AE) presents with transient, localized swelling; however, the underlying causes, prognosis, and treatments vary significantly. Consequently, identifying a specific AE ...
Journal of Medical Internet Research

Perspectives of Health Care Professionals on the Use of AI to Support Clinical Decision-Making in the Management of Multiple Long-Term Conditions: Interview Study

Objective: We aimed to explore the perspectives of primary care HCPs on managing MLTC and their attitudes toward using AI tools to support clinical decision-making in MLTC care. Methods: In total, 20 ...
IEEE

An Adaptive Framework for Low-Rate DDoS Detection in Cloud Environments Using Decision Tree Machine Learning Algorithm

Abstract: An adaptive detection framework to identify low-rate Distributed Denial of Service (DDoS) attacks in cloud environments. Leveraging the Decision Tree machine learning algorithm, the ...
Microsoft

Decision Trees with Short Explainable Rules

There is indeed a vast literature on the design and analysis of decision tree algorithms that aim at optimizing these parameters. This paper contributes to this important line of research: we propose ...