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Machine learning method
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Paclitaxel is commonly used as a second-line therapy for advanced gastric cancer (AGC). The decision to proceed with second-line chemotherapy and select an appropriate regimen is critical for vulnerable patients with AGC progressing after first-line chemotherapy.
9p
vishanshan
27-06-2024
2
1
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Obstructive sleep apnea hypopnea syndrome (OSAHS) is a common disease that can cause multiple organ damage in the whole body. Our aim was to use machine learning (ML) to build an independent polysomnography (PSG) model to analyze risk factors and predict OSAHS.
11p
vishanshan
27-06-2024
1
1
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In this study, the simultaneous determination of Co, Cd, Ni, Cu, and Pb was carried out as a color complex with 4-(2-pyridylazo) resorcinol in an aqueous solution under the assesting of machine learning. A partial least-squares multivariate linear regression and artificial neuron network for the analysis of mixtures of metals were developed. MATLAB is a powerful software machine learning program that was used to support matrix calculations and displays.
8p
visergeyne
18-06-2024
0
0
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Salinity intrusion forecasting is essential and challenging for hydrometeorology, especially in climate change. Employing machine learning (ML) algorithms and conventional forecasting techniques are gaining popularity and providing high performance. This study presents a method to optimize a machine learning model based on the Long Short-Term Memory (LSTM) algorithm for multistep-ahead salinity forecasting (up to 7 days) at Dai Ngai station, Soc Trang province.
11p
dianmotminh02
03-05-2024
2
1
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Output-only methods based on machine/deep-learning algorithms are highly practical approaches for timely detecting potential damages in civil structures as they directly employ measured vibration signals but do not require exact knowledge of input loading nor the service interruption for manual inspection.
14p
viohoyo
25-04-2024
4
2
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International conference GIS-Ideas 2023: Geospatial integrated technologies for natural hazards and environmental problems is a collection of articles about: Determination of the optimal density contrast in the seafloor depth inversion from gravity anomalies using the Gravity-Geologic method on the central East Sea; Impact of urbanization on seawater quality in Quang Ninh province; Forecast of submarine landslides related to the reactive probability of the fault system in the Southeast Vietnam continental shelf and adjacent areas; Applying machine learning algorithms to classify forest cove...
442p
tukhauquantuong1011
22-04-2024
3
2
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Exome sequencing is now mainstream in clinical practice. However, identification of pathogenic Mendelian variants remains time-consuming, in part, because the limited accuracy of current computational prediction methods requires manual classification by experts.
11p
vibransone
28-03-2024
3
2
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Part 1 of ebook "Practical chemoinformatics" provides readers with contents including: open-source tools, techniques, and data in chemoinformatics; chemoinformatics approach for the design and screening of focused virtual libraries; machine learning methods in chemoinformatics for drug discovery; docking and pharmacophore modelling for virtual screening;...
285p
tudohanhtau1006
29-03-2024
5
1
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Genotypes are strongly associated with disease phenotypes, particularly in brain disorders. However, the molecular and cellular mechanisms behind this association remain elusive. With emerging multimodal data for these mechanisms, machine learning methods can be applied for phenotype prediction at different scales, but due to the black-box nature of machine learning, integrating these modalities and interpreting biological mechanisms can be challenging.
19p
vicwell
29-02-2024
4
2
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Identifying pathogenic variants from the vast majority of nucleotide variation remains a challenge. We present a method named Multimodal Annotation Generated Pathogenic Impact Evaluator (MAGPIE) that predicts the pathogenicity of multi-type variants.
19p
vicwell
29-02-2024
6
2
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This approach can be problematic because SDN networks have different characteristics than traditional computer systems. In this paper, we propose a new method for SDN intrusion detection using machine learning. Our method addresses the problem of data imbalance, which is a common problem with machine learning datasets.
14p
vigojek
02-02-2024
3
1
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This paper presents research on detecting fake news based on news content and social context approach using machine learning. First of all, we analyze related concepts, methods of detecting fake news. Next, we model this task as a binary classification problem, representing news content and social context as feature vectors.
12p
vigojek
02-02-2024
6
2
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Ebook "Pattern recognition in bioinformatics: 5th IAPR international conference, PRIB 2010 Nijmegen, The Netherlands, September 22-24, 2010 proceedings" has two main objectives: the creation and maintenance of biological databases and the analysis of life sciences data in order to unravel the mysteries of biological function. Computer science methods such as pattern recognition, machine learning, and data mining have a great deal to offer the field of bioinformatics.
458p
tachieuhoa
28-01-2024
4
2
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Ebook "Big data in omics and imaging: Association analysis" addresses the recent development of association analysis and machine learning for both population and family genomic data in sequencing era. It is unique in that it presents both hypothesis testing and a data mining approach to holistically dissecting the genetic structure of complex traits and to designing efficient strategies for precision medicine.
701p
lamquandat
28-12-2023
2
2
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The function and regulation of miRNAs in progression of chordoma were unclear. Five miRNAs were identified by the machine learning method from the miRNA expression array. CCk-8 assay, EDU assay, wound healing migration assay, and trans-well assay were used to reveal the effect of the miRNAs in chordoma cell lines.
12p
vileonardodavinci
23-12-2023
3
2
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Hepatectomy is currently the most effective modality for the treatment of intrahepatic cholangiocarcinoma (ICC). The status of the lymph nodes directly affects the choice of surgical method and the formulation of postoperative treatment plans.
11p
vialfrednobel
23-12-2023
5
3
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In this paper, we propose a classical machine learning method with a carefully designed features engineering process to both accurately predict seeds germination and give more insight into the relevant factors for a seed’s germination process.
7p
vibranson
30-11-2023
6
4
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The most common fault diagnosis method for oil-immersed power transformers is dissolved gas analysis (DGA). The paper is organised as follows: Section 2 describes the conventional methods of DGA for oil-insulating power transformers.
8p
vijeff
30-11-2023
5
4
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In this study, an advanced machine learning model based on artificial intelligence, the Random Forest, was developed and applied to predict the bearing capacity of piles. This model is used as a predefined model applied in the MonteCarlo simulation method to determine the reliability of the pile-bearing capacity.
13p
vijeff
27-11-2023
9
5
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Functioning and non-functioning adrenocortical adenoma are two subtypes of benign adrenal adenoma, and their differential diagnosis is crucial. Current diagnostic procedures use an invasive method, adrenal venous sampling, for endocrinologic assessment.
12p
vischultz
20-10-2023
2
1
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