AI Medical Compendium Topic:
Software

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An empirical evaluation of Lex/Yacc and ANTLR parser generation tools.

PloS one
Parsers are used in different software development scenarios such as compiler construction, data format processing, machine-level translation, and natural language processing. Due to the widespread usage of parsers, there exist different tools aimed ...

FlauBERT vs. CamemBERT: Understanding patient's answers by a French medical chatbot.

Artificial intelligence in medicine
In a number of circumstances, obtaining health-related information from a patient is time-consuming, whereas a chatbot interacting efficiently with that patient might help saving health care professional time and better assisting the patient. Making ...

CateCom: A Practical Data-Centric Approach to Categorization of Computational Models.

Journal of chemical information and modeling
The advent of data-driven science in the 21st century brought about the need for well-organized structured data and associated infrastructure able to facilitate the applications of artificial intelligence and machine learning. We present an effort ai...

A Deep Learning-Based Chinese Semantic Parser for the Almond Virtual Assistant.

Sensors (Basel, Switzerland)
Almond is an extendible open-source virtual assistant designed to help people access Internet services and IoT (Internet of Things) devices. Both are referred to as skills here. Service providers can easily enable their devices for Almond by defining...

MSSort-DIA: A deep learning classification tool of the peptide precursors quantified by OpenSWATH.

Journal of proteomics
OpenSWATH is an analysis toolkit commonly used for data independent acquisition (DIA). Although the output of OpenSWATH is controlled at 1% false discovery rate (FDR), the output report still contains many peptide precursors with low similarity fragm...

A separable neural code in monkey IT enables perfect CAPTCHA decoding.

Journal of neurophysiology
Reading distorted letters is easy for us but so challenging for the machine vision that it is used on websites as CAPTCHA (Completely Automated Public Turing Test to tell Computers and Humans Apart). How does our brain solve this problem? One solutio...

A Study on the Application of Distributed System Technology-Guided Machine Learning in Malware Detection.

Computational intelligence and neuroscience
In recent years, with the development of information technology, the Internet has become an essential tool for human daily life. However, as the popularity and scale of the Internet continue to expand, malware has also emerged as an increasingly wide...

Controversial Trials First: Identifying Disagreement Between Clinical Guidelines and New Evidence.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Clinical guidelines integrate latest evidence to support clinical decision-making. As new research findings are published at an increasing rate, it would be helpful to detect when such results disagree with current guideline recommendations. In this ...

Machine learning models for accurate prioritization of variants of uncertain significance.

Human mutation
The growing use of next-generation sequencing technologies on genetic diagnosis has produced an exponential increase in the number of variants of uncertain significance (VUS). In this manuscript, we compare three machine learning methods to classify ...