AIMC Topic: Machine Learning

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Topic Modeling as an evaluation basis in literature research - A proposal for a new literature review method for machine-assisted source evaluation using the example of anthropology.

Anthropologischer Anzeiger; Bericht uber die biologisch-anthropologische Literatur Mar 16, 2023
Topic modeling is a machine learning method that has been used in disciplines like social sciences or the industrial production sector. With topic modeling, a scientist can reduce many articles to a few topics to get an overview of a specific field (...
Humans Machine Learning Anthropology
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Sudden cardiac death multiparametric classification system for Chagas heart disease's patients based on clinical data and 24-hours ECG monitoring.

Mathematical biosciences and engineering : MBE Mar 14, 2023
About 6.5 million people are infected with Chagas disease (CD) globally, and WHO estimates that $ > million people worldwide suffer from ChHD. Sudden cardiac death (SCD) represents one of the leading causes of death worldwide and affects approximatel...
Humans Machine Learning Risk Assessment Electrocardiography Bayes Theorem Death, Sudden, Cardiac
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A review on multimodal machine learning in medical diagnostics.

Mathematical biosciences and engineering : MBE Mar 6, 2023
Nowadays, the increasing number of medical diagnostic data and clinical data provide more complementary references for doctors to make diagnosis to patients. For example, with medical data, such as electrocardiography (ECG), machine learning algorith...
Humans Machine Learning Diagnostic Imaging Datasets as Topic
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Machine learning-based evaluation of application value of pulse wave parameter model in the diagnosis of hypertensive disorder in pregnancy.

Mathematical biosciences and engineering : MBE Mar 1, 2023
Hypertensive disorder in pregnancy (HDP) remains a major health burden, and it is associated with systemic cardiovascular adaptation. The pulse wave is an important basis for evaluating the status of the human cardiovascular system. This research aim...
Humans Machine Learning Algorithms Retrospective Studies Pregnancy Female Child Heart Rate Beijing
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GPT-4 is here: what scientists think.

Nature Mar 1, 2023
Machine Learning Research Personnel
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Application of wavelet theory to enhance the performance of machine learning techniques in estimating water quality parameters (case study: Gao-Ping River).

Water science and technology : a journal of the International Association on Water Pollution Research Mar 1, 2023
There are several methods for modeling water quality parameters, with data-based methods being the focus of research in recent decades. The current study aims to simulate water quality parameters using modern artificial intelligence techniques, to en...
Artificial Intelligence Machine Learning Environmental Monitoring Fuzzy Logic Water Quality Rivers
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ExamPle: explainable deep learning framework for the prediction of plant small secreted peptides.

Bioinformatics (Oxford, England) Mar 1, 2023
MOTIVATION: Plant Small Secreted Peptides (SSPs) play an important role in plant growth, development, and plant-microbe interactions. Therefore, the identification of SSPs is essential for revealing the functional mechanisms. Over the last few decade...
Machine Learning Peptides Deep Learning Amino Acids
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In AI, is bigger always better?

Nature Mar 1, 2023
Artificial Intelligence Machine Learning Big Data
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How Nature readers are using ChatGPT.

Nature Mar 1, 2023
Humans Machine Learning Writing Surveys and Questionnaires Periodicals as Topic Research Personnel Reading
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Artificial Intelligence in the Genetic Diagnosis of Rare Disease.

Clinics in laboratory medicine Mar 1, 2023
Humans Artificial Intelligence Machine Learning Algorithms Rare Diseases
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