Machine Learning

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Application of a U-Net Neural Network to the Maize Pathosystem.

Phytopathology Apr 22, 2024
Computer vision approaches to analyze plant disease data can be both faster and more reliable than traditional, manual methods. However, the requirement of manually annotating training data for the majority of machine learning applications can presen...
Neural Networks, Computer Plant Diseases Puccinia Machine Learning Plant Leaves Zea mays
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Developing RPC-Net: Leveraging High-Density Electromyography and Machine Learning for Improved Hand Position Estimation.

IEEE transactions on bio-medical engineering Apr 22, 2024
OBJECTIVE: The purpose of this study was to develop and evaluate the performance of RPC-Net (Recursive Prosthetic Control Network), a novel method using simple neural network architectures to translate electromyographic activity into hand position wi...
Electromyography Artificial Limbs Forearm Male Signal Processing, Computer-Assisted Hand Neural Networks, Computer Machine Learning Algorithms Adult Biomechanical Phenomena Female Young Adult Humans
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Physics-Informed Transfer Learning to Enhance Sleep Staging.

IEEE transactions on bio-medical engineering Apr 22, 2024
OBJECTIVE: At-home sleep staging using wearable medical sensors poses a viable alternative to in-hospital polysomnography due to its lower cost and lower disruption to the daily lives of patients, especially in the case of long-term monitoring. Machi...
Electroencephalography Signal Processing, Computer-Assisted Polysomnography Sleep Stages Humans Machine Learning Wearable Electronic Devices
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Integrated multi-omics analysis and machine learning identify hub genes and potential mechanisms of resistance to immunotherapy in gastric cancer.

Aging Apr 22, 2024
BACKGROUND: Patients with gastric cancer respond poorly to immunotherapy. There are still unknowns about the biomarkers associated with immunotherapy sensitivity and their underlying molecular mechanisms.
Immunotherapy Stomach Neoplasms Biomarkers, Tumor Multiomics Gene Expression Profiling Gene Expression Regulation, Neoplastic Humans Databases, Genetic Machine Learning Cancer-Associated Fibroblasts Prognosis Drug Resistance, Neoplasm
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An artificial neural network based approach for predicting the proton beam spot dosimetric characteristics of a pencil beam scanning technique.

Biomedical physics & engineering express Apr 22, 2024
Utilising Machine Learning (ML) models to predict dosimetric parameters in pencil beam scanning proton therapy presents a promising and practical approach. The study developed Artificial Neural Network (ANN) models to predict proton beam spot size an...
(1)
Algorithms Reproducibility of Results Radiotherapy Planning, Computer-Assisted Humans Neural Networks, Computer Machine Learning Protons Radiotherapy Dosage Proton Therapy Radiometry
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An ensemble model for predicting dispositions of emergency department patients.

BMC medical informatics and decision making Apr 22, 2024
OBJECTIVE: The healthcare challenge driven by an aging population and rising demand is one of the most pressing issues leading to emergency department (ED) overcrowding. An emerging solution lies in machine learning's potential to predict ED disposit...
(2)
Taiwan Emergency Service, Hospital Cross-Sectional Studies Male Middle Aged Aged Young Adult Adult Humans Machine Learning Female
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Prediction models for postoperative recurrence of non-lactating mastitis based on machine learning.

BMC medical informatics and decision making Apr 22, 2024
OBJECTIVES: This study aims to build a machine learning (ML) model to predict the recurrence probability for postoperative non-lactating mastitis (NLM) by Random Forest (RF) and XGBoost algorithms. It can provide the ability to identify the risk of N...
Humans Adult Middle Aged Machine Learning Female Recurrence Postoperative Complications China Mastitis
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Essentiality, protein-protein interactions and evolutionary properties are key predictors for identifying cancer-associated genes using machine learning.

Scientific reports Apr 22, 2024
The distinctive nature of cancer as a disease prompts an exploration of the special characteristics the genes implicated in cancer exhibit. The identification of cancer-associated genes and their characteristics is crucial to further our understandin...
Neoplasms Protein Interaction Maps Computational Biology Evolution, Molecular Genes, Essential Humans Machine Learning
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Predictive modeling of co-infection in lupus nephritis using multiple machine learning algorithms.

Scientific reports Apr 22, 2024
This study aimed to analyze peripheral blood lymphocyte subsets in lupus nephritis (LN) patients and use machine learning (ML) methods to establish an effective algorithm for predicting co-infection in LN. This study included 111 non-infected LN pati...
Support Vector Machine Lupus Nephritis Coinfection Lymphocyte Subsets Male Middle Aged Case-Control Studies Algorithms Female Adult Humans Machine Learning
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Prediction of high-risk emergency department revisits from a machine-learning algorithm: a proof-of-concept study.

BMJ health & care informatics Apr 22, 2024
BACKGROUND: High-risk emergency department (ED) revisit is considered an important quality indicator that may reflect an increase in complications and medical burden. However, because of its multidimensional and highly complex nature, this factor has...
Aged Adult Male Algorithms Retrospective Studies Female Emergency Service, Hospital Patient Readmission Proof of Concept Study Middle Aged Risk Assessment Taiwan Humans Machine Learning
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