Výsledky vyhľadávania - "Datasets as Topic"

The Legal And Ethical Concerns That Arise From Using Complex Predictive Analytics In Health Care Autor Cohen, I. Glenn, Amarasingham, Ruben, Shah, Anand, Xie, Bin, Lo, Bernard

“…Predictive analytics, or the use of electronic algorithms to forecast future events in real time, makes it possible to harness the power of big data to improve…”
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Analyzing Clustered Data: Why and How to Account for Multiple Observations Nested within a Study Participant? Autor Moen, Erika L., Fricano-Kugler, Catherine J., Luikart, Bryan W., O’Malley, A. James

“…A conventional study design among medical and biological experimentalists involves collecting multiple measurements from a study subject…”
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TLEM 2.0 – A comprehensive musculoskeletal geometry dataset for subject-specific modeling of lower extremity Autor Carbone, V., Fluit, R., Pellikaan, P., van der Krogt, M.M., Janssen, D., Damsgaard, M., Vigneron, L., Feilkas, T., Koopman, H.F.J.M., Verdonschot, N.

“…When analyzing complex biomechanical problems such as predicting the effects of orthopedic surgery, subject-specific musculoskeletal models are essential to achieve reliable predictions…”
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Artifact removal in the context of group ICA: A comparison of single-subject and group approaches Autor Du, Yuhui, Allen, Elena A., He, Hao, Sui, Jing, Wu, Lei, Calhoun, Vince D.

“…‐level components to recapture intersubject variability. However, the best approach to handle artifacts, which may vary widely among subjects, is not yet clear…”
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Analysis of protein-coding genetic variation in 60,706 humans Autor Lek, Monkol, Karczewski, Konrad J., Minikel, Eric V., Samocha, Kaitlin E., Banks, Eric, Fennell, Timothy, O’Donnell-Luria, Anne H., Ware, James S., Hill, Andrew J., Cummings, Beryl B., Tukiainen, Taru, Birnbaum, Daniel P., Kosmicki, Jack A., Duncan, Laramie E., Estrada, Karol, Zhao, Fengmei, Zou, James, Pierce-Hoffman, Emma, Berghout, Joanne, Cooper, David N., Deflaux, Nicole, DePristo, Mark, Do, Ron, Flannick, Jason, Fromer, Menachem, Gauthier, Laura, Goldstein, Jackie, Gupta, Namrata, Howrigan, Daniel, Kiezun, Adam, Kurki, Mitja I., Moonshine, Ami Levy, Natarajan, Pradeep, Orozco, Lorena, Peloso, Gina M., Poplin, Ryan, Rivas, Manuel A., Ruano-Rubio, Valentin, Rose, Samuel A., Ruderfer, Douglas M., Shakir, Khalid, Stenson, Peter D., Stevens, Christine, Thomas, Brett P., Tiao, Grace, Tusie-Luna, Maria T., Weisburd, Ben, Won, Hong-Hee, Yu, Dongmei, Altshuler, David M., Ardissino, Diego, Boehnke, Michael, Danesh, John, Donnelly, Stacey, Elosua, Roberto, Florez, Jose C., Gabriel, Stacey B., Getz, Gad, Glatt, Stephen J., Hultman, Christina M., Kathiresan, Sekar, Laakso, Markku, McCarroll, Steven, McCarthy, Mark I., McGovern, Dermot, McPherson, Ruth, Neale, Benjamin M., Palotie, Aarno, Purcell, Shaun M., Saleheen, Danish, Scharf, Jeremiah M., Sklar, Pamela, Sullivan, Patrick F., Tuomilehto, Jaakko, Tsuang, Ming T., Watkins, Hugh C., Wilson, James G., Daly, Mark J., MacArthur, Daniel G.

“… We have used this catalogue to calculate objective metrics of pathogenicity for sequence variants, and to identify genes subject to strong selection against various classes of mutation…”
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A guide to group effective connectivity analysis, part 1: First level analysis with DCM for fMRI Autor Zeidman, Peter, Jafarian, Amirhossein, Corbin, Nadège, Seghier, Mohamed L., Razi, Adeel, Price, Cathy J., Friston, Karl J.

“…Dynamic Causal Modelling (DCM) is the predominant method for inferring effective connectivity from neuroimaging data. In the 15 years since its introduction,…”
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The National Sleep Research Resource: towards a sleep data commons Autor Zhang, Guo-Qiang, Cui, Licong, Mueller, Remo, Tao, Shiqiang, Kim, Matthew, Rueschman, Michael, Mariani, Sara, Mobley, Daniel, Redline, Susan

“…The gold standard for diagnosing sleep disorders is polysomnography, which generates extensive data about biophysical changes occurring during sleep. We…”
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Interplay between the human gut microbiome and host metabolism Autor Visconti, Alessia, Le Roy, Caroline I., Rosa, Fabio, Rossi, Niccolò, Martin, Tiphaine C., Mohney, Robert P., Li, Weizhong, de Rinaldis, Emanuele, Bell, Jordana T., Venter, J. Craig, Nelson, Karen E., Spector, Tim D., Falchi, Mario

“…-explored. Using whole-metagenome shotgun sequencing data in 1,004 twins, we first observed that unrelated subjects share, on average, almost double the number of metabolic pathways (82%) than species (43…”
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EEG datasets for motor imagery brain–computer interface Autor Cho, Hohyun, Ahn, Minkyu, Ahn, Sangtae, Kwon, Moonyoung, Jun, Sung Chan

“… However, variations in performance over sessions and subjects are too severe to overcome easily…”
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Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank Autor Alfaro-Almagro, Fidel, Jenkinson, Mark, Bangerter, Neal K., Andersson, Jesper L.R., Griffanti, Ludovica, Douaud, Gwenaëlle, Sotiropoulos, Stamatios N., Jbabdi, Saad, Hernandez-Fernandez, Moises, Vallee, Emmanuel, Vidaurre, Diego, Webster, Matthew, McCarthy, Paul, Rorden, Christopher, Daducci, Alessandro, Alexander, Daniel C., Zhang, Hui, Dragonu, Iulius, Matthews, Paul M., Miller, Karla L., Smith, Stephen M.

“…). Raw and processed data from the first 10,000 imaged subjects has recently been released for general research access…”
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Establishing microbial composition measurement standards with reference frames Autor Morton, James T., Marotz, Clarisse, Washburne, Alex, Silverman, Justin, Zaramela, Livia S., Edlund, Anna, Zengler, Karsten, Knight, Rob

“…Differential abundance analysis is controversial throughout microbiome research. Gold standard approaches require laborious measurements of total microbial…”
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Using Deep Learning and Transfer Learning to Accurately Diagnose Early-Onset Glaucoma From Macular Optical Coherence Tomography Images Autor Asaoka, Ryo, Murata, Hiroshi, Hirasawa, Kazunori, Fujino, Yuri, Matsuura, Masato, Miki, Atsuya, Kanamoto, Takashi, Ikeda, Yoko, Mori, Kazuhiko, Iwase, Aiko, Shoji, Nobuyuki, Inoue, Kenji, Yamagami, Junkichi, Araie, Makoto

“… Training data included OCT-1000/2000 images from 94 eyes of 94 patients with early OAG (mean deviation > −5.0 dB) and 84 eyes of 84 normal subjects…”
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Optimising network modelling methods for fMRI Autor Pervaiz, Usama, Vidaurre, Diego, Woolrich, Mark W., Smith, Stephen M.

“…A major goal of neuroimaging studies is to develop predictive models to analyze the relationship between whole brain functional connectivity patterns and…”
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Predicting human olfactory perception from chemical features of odor molecules Autor Keller, Andreas, Gerkin, Richard C, Guan, Yuanfang, Dhurandhar, Amit, Turu, Gabor, Szalai, Bence, Mainland, Joel D, Ihara, Yusuke, Yu, Chung Wen, Wolfinger, Russ, Vens, Celine, Schietgat, Leander, De Grave, Kurt, Norel, Raquel, Stolovitzky, Gustavo, Cecchi, Guillermo A, Vosshall, Leslie B, Meyer, Pablo

“…It is still not possible to predict whether a given molecule will have a perceived odor or what olfactory percept it will produce. We therefore organized the…”
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Metric learning with spectral graph convolutions on brain connectivity networks Autor Ktena, Sofia Ira, Parisot, Sarah, Ferrante, Enzo, Rajchl, Martin, Lee, Matthew, Glocker, Ben, Rueckert, Daniel

“…Graph representations are often used to model structured data at an individual or population level and have numerous applications in pattern recognition…”
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Characteristics of publicly available skin cancer image datasets: a systematic review Autor Wen, David, Khan, Saad M, Ji Xu, Antonio, Ibrahim, Hussein, Smith, Luke, Caballero, Jose, Zepeda, Luis, de Blas Perez, Carlos, Denniston, Alastair K, Liu, Xiaoxuan, Matin, Rubeta N

“…Publicly available skin image datasets are increasingly used to develop machine learning algorithms for skin cancer diagnosis. However, the total number of…”
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Asthma–COPD Overlap. Clinical Relevance of Genomic Signatures of Type 2 Inflammation in Chronic Obstructive Pulmonary Disease Autor Christenson, Stephanie A., Steiling, Katrina, van den Berge, Maarten, Hijazi, Kahkeshan, Hiemstra, Pieter S., Postma, Dirkje S., Lenburg, Marc E., Spira, Avrum, Woodruff, Prescott G.

“…Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease and likely includes a subgroup that is biologically comparable to asthma. Studying…”
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An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement Autor Souza, Roberto, Lucena, Oeslle, Garrafa, Julia, Gobbi, David, Saluzzi, Marina, Appenzeller, Simone, Rittner, Letícia, Frayne, Richard, Lotufo, Roberto

“…) acquired on scanners from three vendors (Siemens, Philips and General Electric) at both 1.5 T and 3 T. CC-359 is comprised of 359 datasets, approximately 60 subjects per vendor and magnetic field strength…”
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3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study Autor Dolz, Jose, Desrosiers, Christian, Ben Ayed, Ismail

“…This study investigates a 3D and fully convolutional neural network (CNN) for subcortical brain structure segmentation in MRI. 3D CNN architectures have been…”
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Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics Autor He, Tong, Kong, Ru, Holmes, Avram J., Nguyen, Minh, Sabuncu, Mert R., Eickhoff, Simon B., Bzdok, Danilo, Feng, Jiashi, Yeo, B.T. Thomas

“…There is significant interest in the development and application of deep neural networks (DNNs) to neuroimaging data. A growing literature suggests that DNNs…”
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