LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler +7 more
wiley +1 more source
Predicting Post-Radiotherapy Epigenetic Age Acceleration From Pre-Treatment Data Using a Machine Learning Framework in Head and Neck Cancer Patients. [PDF]
Yan R +9 more
europepmc +1 more source
Data Mining-Based Analysis of Acupoint Selection Patterns in Acupuncture Treatment for Lumbar Disc Herniation. [PDF]
Zheng Z +5 more
europepmc +1 more source
Diagnostic Features and Prescription Rules of Influenza-Like Illnesses in Traditional Chinese Medicine: A Data Mining Approach. [PDF]
Liu X, Chang R, Feng S, Deng G, Zhou L.
europepmc +1 more source
Characterization of the stress level of university students using data mining algorithms. [PDF]
Reina Marín Y +6 more
europepmc +1 more source
Analyzing multidrug resistance patterns across the food supply chain using association rule mining. [PDF]
Glass JC +5 more
europepmc +1 more source
Unveiling Epidemiologic Insights: A Case-Control Study of Congenital Cleft Lip and/or Palate Using Association Rule Mining. [PDF]
Delshad S +7 more
europepmc +1 more source
Mining generalized association rules [PDF]
Abstract We introduce the problem of mining generalized association rules. Given a large database of transactions, where each transaction consists of a set of items, and a taxonomy (is-a hierarchy) on the items, we find associations between items at any level of the taxonomy.
Ramakrishnan Srikant, Rakesh Agrawal
exaly +2 more sources

