AIMC Topic: Benchmarking
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A dataset and benchmark for hospital course summarization with adapted large language models.
Journal of the American Medical Informatics Association : JAMIA
Mar 1, 2025
OBJECTIVE: Brief hospital course (BHC) summaries are clinical documents that summarize a patient's hospital stay. While large language models (LLMs) depict remarkable capabilities in automating real-world tasks, their capabilities for healthcare appl...
LCD benchmark: long clinical document benchmark on mortality prediction for language models.
Journal of the American Medical Informatics Association : JAMIA
Feb 1, 2025
OBJECTIVES: The application of natural language processing (NLP) in the clinical domain is important due to the rich unstructured information in clinical documents, which often remains inaccessible in structured data. When applying NLP methods to a c...
Simulation of adaptive immune receptors and repertoires with complex immune information to guide the development and benchmarking of AIRR machine learning.
Nucleic acids research
Jan 24, 2025
Machine learning (ML) has shown great potential in the adaptive immune receptor repertoire (AIRR) field. However, there is a lack of large-scale ground-truth experimental AIRR data suitable for AIRR-ML-based disease diagnostics and therapeutics disco...
Benchmarking the speed-accuracy tradeoff in object recognition by humans and neural networks.
Journal of vision
Jan 2, 2025
Active object recognition, fundamental to tasks like reading and driving, relies on the ability to make time-sensitive decisions. People exhibit a flexible tradeoff between speed and accuracy, a crucial human skill. However, current computational mod...
Benchmarking Automatic Speech Recognition Technology for Natural Language Samples of Children With and Without Developmental Delays.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
Natural language sampling (NLS) offers rich insights into real-world speech and language usage across diverse groups; yet, human transcription is time-consuming and costly. Automatic speech recognition (ASR) technology has the potential to revolution...
A comprehensive benchmarking of machine learning algorithms and dimensionality reduction methods for drug sensitivity prediction.
Briefings in bioinformatics
May 23, 2024
A major challenge of precision oncology is the identification and prioritization of suitable treatment options based on molecular biomarkers of the considered tumor. In pursuit of this goal, large cancer cell line panels have successfully been studie...
Semi-supervised Learning for Generalizable Intracranial Hemorrhage Detection and Segmentation.
Radiology. Artificial intelligence
May 1, 2024
Purpose To develop and evaluate a semi-supervised learning model for intracranial hemorrhage detection and segmentation on an out-of-distribution head CT evaluation set. Materials and Methods This retrospective study used semi-supervised learning to ...
AI now beats humans at basic tasks - new benchmarks are needed, says major report.
Nature
Apr 1, 2024
MA-PEP: A novel anticancer peptide prediction framework with multimodal feature fusion based on attention mechanism.
Protein science : a publication of the Protein Society
Apr 1, 2024
AntiCancer Peptides (ACPs) have emerged as promising therapeutic agents for cancer treatment. The time-consuming and costly nature of wet-lab discriminatory methods has spurred the development of various machine learning and deep learning-based ACP c...
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