数据归一化方法综述.

杨寒雨, 赵晓永, 王磊 - Journal of Computer Engineering & …, 2023 - search.ebscohost.com
当今, 人工智能已经广泛应用到各个领域中, 并取得了显著的效果. 数据归一化是人工智能应用
落地中的一个重要环节, 它有助于避免神经网络因数据量纲的复杂性对数据进行错误建模 …

Fine-tuning large language models for rare disease concept normalization

A Wang, C Liu, J Yang, C Weng - Journal of the American …, 2024 - academic.oup.com
Objective We aim to develop a novel method for rare disease concept normalization by fine-
tuning Llama 2, an open-source large language model (LLM), using a domain-specific …

Machine Learning for Identification of Immedicable Renal Disease

A Prasad, V Asha, B Saju, SM Manoj… - … on Smart Systems …, 2023 - ieeexplore.ieee.org
Chronic Renal Disease (CRD) is a condition that causes a progressive decrease in renal
function. It refers to a clinical entity that causes Renal dysfunction. Improper disease …

Deep Learning To Model The Complexity Of Algal Bloom

H Wu, Z Lin, B Lin, Z Li, N Jin… - … Conference on Cyber …, 2022 - ieeexplore.ieee.org
Literature of studying algal growth has started to take advantages of data mining and
machine learning methods, such as classification, clustering, regression, correlation …

Integrative Rare Disease Profile Creation via NormMap to Advance Rare Disease Research

D Leadman, Y Xu, S Qu, Q Zhu - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Given the nature of rare diseases, lack of data and standards impedes research in rare
diseases. A method to improve data interoperability is necessary to allow data reuse …

Semantic Annotation of NIH Funding Data for Supporting Rare Disease Research

S Hsu, S Qu, Y Xu, Q Zhu - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
With the advances in science and technology, the number of research in rare diseases has
dramatically increased over the past twenty years. Systematically accessing those research …

The Method of Intelligent Extracting of Abnormal Data Under Computer Data Mining Technology

Y Zhang, S Li - 2023 3rd International Symposium on …, 2023 - ieeexplore.ieee.org
With the application of big data and other information technologies, enterprises and
institutions have gradually formed massive data resources. How to intelligently extract …