Výsledky vyhledávání - "unsupervised machine learning algorithm"

Comparison of an unsupervised machine learning algorithm and surgeon diagnosis in the clinical differentiation of metopic craniosynostosis and benign metopic ridge Autor Cho, Min-Jeong, Hallac, Rami R., Effendi, Maleeh, Seaward, James R., Kane, Alex A.

“…’ thresholds for operation. Three-dimensional curvature analyses on 43 subject patients revealed that the mean curvature of mid-forehead vertical ridge was higher…”
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Automated Detection of Artifact-Corrupted or Distracted ERP Epochs by Unsupervised Machine Learning Algorithm Autor Akhter, Rafia

“… While ERPs have been used successfully in a controlled laboratory setting, the success of ERP research depends on the laboratory conditions and attentiveness of the test subjects…”
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Anomaly detection for atomic clocks using unsupervised machine learning algorithms Autor Chen, Edwin, Charbonneau, André, Gertsvolf, Marina, Wang, Yunli

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Unsupervised machine-learning algorithms for the identification of clinical phenotypes in the osteoarthritis initiative database Autor Demanse, David, Saxer, Franziska, Lustenberger, Patrick, Tankó, László B., Nikolaus, Philipp, Rasin, Ilja, Brennan, Damian F., Roubenoff, Ronenn, Premji, Sumehra, Conaghan, Philip G, Schieker, Matthias

“…Osteoarthritis (OA) is a complex disease comprising diverse underlying patho-mechanisms. To enable the development of effective therapies, segmentation of the…”
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Eye-blink artifact removal from single channel EEG with k-means and SSA Autor Maddirala, Ajay Kumar, Veluvolu, Kalyana C

“… In this paper, we developed a new framework that combines unsupervised machine learning algorithm ( k -means…”
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Quantifying the Severity of Metopic Craniosynostosis Using Unsupervised Machine Learning Autor Anstadt, Erin E, Tao, Wenzheng, Guo, Ejay, Dvoracek, Lucas, Bruce, Madeleine K, Grosse, Philip J, Wang, Li, Kavan, Ladislav, Whitaker, Ross, Goldstein, Jesse A

“…). This study combines three-dimensional skull shape analysis with an unsupervised machine-learning algorithm to generate a quantitative shape severity score…”
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Blood and brain gene expression trajectories mirror neuropathology and clinical deterioration in neurodegeneration Autor Iturria-Medina, Yasser, Khan, Ahmed F, Adewale, Quadri, Shirazi, Amir H

“… (from ROSMAP, HBTRC and ADNI datasets), this unsupervised machine learning algorithm strongly predicts neuropathological severity (e.g…”
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Data‐driven staging of genetic frontotemporal dementia using multi‐modal MRI Autor Moreno, Fermin, Graff, Caroline, Galimberti, Daniela, Masellis, Mario, Finger, Elizabeth, Vandenberghe, Rik, Mendonça, Alexandre, Tagliavini, Fabrizio, Butler, Chris, Gerhard, Alex, Danek, Adrian, Otto, Markus, Sorbi, Sandro, Swieten, John C., Iturria‐Medina, Yasser, Ducharme, Simon, Almeida, Maria Rosario, Anderl‐Straub, Sarah, Andersson, Christin, Archetti, Silvana, Arighi, Andrea, Barandiaran, Myriam, Bargalló, Nuria, Bartha, Robart, Bender, Benjamin, Benussi, Luisa, Bessi, Valentina, Black, Sandra, Bocchetta, Martina, Borrego‐Ecija, Sergi, Bras, Jose, Bruffaerts, Rose, Cañada, Marta, Cantoni, Valentina, Caroppo, Paola, Cash, David, Castelo‐Branco, Miguel, Arriba, María, Díaz, Zigor, Díez, Alina, Duro, Diana, Ferrari, Camilla, Ferreira, Carlos, Ferreira, Catarina B., Flanagan, Toby, Fox, Nick, Freedman, Morris, Fumagalli, Giorgio, Gabilondo, Alazne, Gasparotti, Roberto, Gauthier, Serge, Gazzina, Stefano, Greaves, Caroline, Guerreiro, Rita, Heller, Carolin, Hoegen, Tobias, Indakoetxea, Begoña, Jelic, Vesna, Karnath, Hans‐Otto, Keren, Ron, Lladó, Albert, Lombardi, Gemma, Maruta, Carolina, Mead, Simon, Mitchell, Sara, Moore, Katrina M, Nacmias, Benedetta, Neason, Mollie, Nicholas, Jennifer, Olives, Jaume, Ourselin, Sebastien, Panman, Jessica, Papma, Janne, Pievani, Michela, Polito, Cristina, Premi, Enrico, Prioni, Sara, Prix, Catharina, Rademakers, Rosa, Rittman, Tim, Rogaeva, Ekaterina, Rossi, Giacomina, Scarpini, Elio, Shoesmith, Christen, Tábuas‐Pereira, Miguel, Tainta, Mikel, Taipa, Ricardo, Tang‐Wai, David, Thomas, David L, Thompson, Paul, Thonberg, Hakan, Tiraboschi, Pietro, Veldsman, Michele, Verdelho, Ana, Villanua, Jorge, Warren, Jason, Wilke, Carlo, Woollacott, Ione, Wlasich, Elisabeth, Zulaica, Miren

“… Here we used the contrastive trajectory inference (cTI), an unsupervised machine learning algorithm that analyzes temporal patterns in high‐dimensional large…”
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Enhancing Spectrometer Performance with Unsupervised Machine Learning Autor Harding, Benjamin D, Hu, Ziling, Hiett, Ashley, Delaglio, Frank, Henzler-Wildman, Katherine A, Rienstra, Chad M

“… Therefore, it is critical to actively monitor instrumentation subject to fluctuations. Here, we demonstrate a method rooted in the unsupervised machine learning algorithm principal component analysis (PCA…”
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Utilizing echocardiography and unsupervised machine learning for heart failure risk identification Autor Simonsen, Jakob Øystein, Modin, Daniel, Skaarup, Kristoffer, Djernæs, Kasper, Lassen, Mats Christian Højbjerg, Johansen, Niklas Dyrby, Marott, Jacob Louis, Jensen, Magnus Thorsten, Jensen, Gorm B., Schnohr, Peter, Martínez, Sergio Sánchez, Claggett, Brian Lee, Møgelvang, Rasmus, Biering-Sørensen, Tor

“… Longitudinal strain curves from 3710 subjects from the general population without prevalent HF were analyzed using uML. Mean age was 56 years and 43 % were male…”
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Unsupervised Learning Reveals Geography of Global Ocean Dynamical Regions Autor Sonnewald, Maike, Wunsch, Carl, Heimbach, Patrick

“… An unsupervised machine learning algorithm, K‐means, objectively clusters the standardized BV equation, identifying five unambiguous regimes…”
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The degenerate coding of psychometric profiles through functional connectivity archetypes Autor Di Plinio, Simone, Northoff, Georg, Ebisch, Sjoerd

“… Self-organized maps (SOM), a type of unsupervised machine learning algorithm, were employed to cluster the RSFC data…”
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A machine learning approach combining expert knowledge with genetic algorithms in feature selection for credit risk assessment Autor Lappas, Pantelis Z., Yannacopoulos, Athanasios N.

“…Most credit scoring algorithms are designed with the assumption to be executed in an environment characterized by an automatic processing of credit…”
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b-Value: A Potential Biomarker for Assessing Knee-Joint Health Using Acoustical Emission Sensing Autor Jeong, Hyeon Ki, Whittingslow, Daniel, Inan, Omer T.

“… Acoustical emissions were recorded from a total of eight subjects with acute knee injuries a first time, within one week of the injury, then a second time, four to six months following corrective…”
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Investigation of Relation Between Hypoxic-Ischemic Encephalopathy and Spectral Features of Infant Cry Audio Autor Satar, Mehmet, Cengizler, Caglar, Hamitoglu, Serif, Ozdemir, Mustafa

“… One of the factors limiting the ability to focus on that subject is the lack of commercially available infant cry database for research…”
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Metabolic Profiling Analysis Reveals the Potential Contribution of Barley Sprouts against Oxidative Stress and Related Liver Cell Damage in Habitual Alcohol Drinkers Autor Park, Hyerin, Lee, Eunok, Kim, Yunsoo, Jung, Hye Yoon, Kim, Kwang-Min, Kwon, Oran

“…Chronic excessive alcohol consumption is associated with multiple liver defects, such as steatosis and cirrhosis, mainly attributable to excessive reactive…”
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Hyperspectral imaging solutions for the non-invasive detection and automated mapping of copper trihydroxychlorides in ancient bronze Autor Liggins, Florence, Vichi, Alessandra, Liu, Wei, Hogg, Alexander, Kogou, Sotiria, Chen, Jianli, Liang, Haida

“… hyperspectral imaging with an in-house developed unsupervised machine learning algorithm for automated…”
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Development of a Customer Churn Model for Banking Industry Based on Hard and Soft Data Fusion Autor Alizadeh, Masoud, Zadeh, Danial Sadrian, Moshiri, Behzad, Montazeri, Allahyar

“… On the other hand, information that is subject to interpretation and viewpoint is known as "soft data…”
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Clinical fracture risk evaluated by hierarchical agglomerative clustering Autor Kruse, C., Eiken, P., Vestergaard, P.

“… Introduction The purposes of this study were to establish and quantify patient clusters of high, average and low fracture risk using an unsupervised machine learning algorithm…”
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A comparative study on Wavelet Transform-based algorithm for calculating Heart Rate from Ballistocardiography Autor Soman, Kanishk, Anand, Nishita, Nambiar, Ashwathi, Dani, Amar

“… With the Wavelet Transforms, we used an unsupervised machine-learning algorithm to detect heartbeats accurately…”
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