Results 241 to 250 of about 726,143 (311)

A text mining-based approach for comprehensive understanding of Chinese railway operational equipment failure reports. [PDF]

Sci Rep
Yang X, Li H, Xu Y, Shen N, He R.
europepmc   +1 more source

Practical Text Mining with Perl [PDF]

Ryan Rosario
core   +1 more source

Exploring research on quality and reliability management through text mining methodology

, 2017
Daniel Carnerud
openalex   +2 more sources

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

Tracking 35 years of progress in metallic materials for extreme environments via text mining. [PDF]

Sci Rep
Wang X, Raj A, Su Y, Xu S, Lu K.
europepmc   +1 more source

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source

Applying text-mining to clinical notes: the identification of patient characteristics from electronic health records (EHRs). [PDF]

BMC Med Inform Decis Mak
Ten Hoope S, Welvaars K, van Geijtenbeek K, Klok-Everaars M, van Schaik S, Karapinar-Çarkit F.   +5 more
europepmc   +1 more source

Multi‐Property Machine Learning Models to Accelerate the Transition Toward Bio‐Based Emulsion Polymers

Advanced Intelligent Discovery, EarlyView.
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary, Nicholas Ballard   +1 more
wiley   +1 more source

Sensitivity and Precision of Search Strategies Built Using a Text-Mining Word Frequency Tool (PubReMiner) Compared to Current Best Practice for Building Search Strategies: A Study Within a Review (SWAR). [PDF]

Cochrane Evid Synth Methods
Dullea A, Carrigan M, O'Sullivan L, Delaunois I, Clark H, Boudou M, Giusti M, Walsh KA, Harrington P, Smith SM, Ryan M.   +10 more
europepmc   +1 more source