Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Aryan Arbabi"'
Autor:
Jixuan Wang, Jingbo Yang, Haochi Zhang, Helen Lu, Marta Skreta, Mia Husić, Aryan Arbabi, Nicole Sultanum, Michael Brudno
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-9 (2022)
Abstract Current clinical note-taking approaches cannot capture the entirety of information available from patient encounters and detract from patient-clinician interactions. By surveying healthcare providers’ current note-taking practices and atti
Externí odkaz:
https://doaj.org/article/9c638992fbb3407c9cbc21ef9baa6a1a
Autor:
Marta Skreta, Aryan Arbabi, Jixuan Wang, Erik Drysdale, Jacob Kelly, Devin Singh, Michael Brudno
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
Disambiguating abbreviations is important for automated clinical note processing; however, deploying machine learning for this task is restricted by lack of good training data. Here, the authors show novel data augmentation methods that use biomedica
Externí odkaz:
https://doaj.org/article/55b59136062549e789f34c5a3fb40092
Autor:
Jacob Kelly, Devin Singh, Michael Brudno, Marta Skreta, Aryan Arbabi, Erik Drysdale, Jixuan Wang
Publikováno v:
Nature Communications
Nature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
Nature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
Modern machine learning (ML) technologies have great promise for automating diverse clinical and research workflows; however, training them requires extensive hand-labelled datasets. Disambiguating abbreviations is important for automated clinical no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20e14d72403f891ae6ef0940179b7b39
https://doi.org/10.1038/s41467-021-25578-4
https://doi.org/10.1038/s41467-021-25578-4
Autor:
Natasha Macchio, Martin Stepan, Gianluigi Pilu, Zohar Nachum, Tullio Ghi, Courtney Kiss, Susan Crocker, Gabriel Quiroz, Federica Bellussi, Shawna Morrison, Giuliana Simonazzi, Anita J. Moon-Grady, Daniel Martínez, Amy J.M. McNaughton, Darrell L. Cass, Enav Yefet, F. Correa, Stéphanie Friszer, Timothy M. Crombleholme, Gregory A.L. Davies, Hubert Ducou Le Pointe, Alberto Galindo, Jean-Marie Jouannic, Anne-Gaël Cordier, Max B. Mitchell, Yanwei Xi, Naama Schwartz, Juan Manuel Carretero, Helene Perras, Flora Basson, Bienvenido Puerto, Satz Mengensatzproduktion, Mireille Cloutier, Michael Brudno, Noémie Girard, A. Mendoza, Emilie Creede, Catherine Garel, Alison Hamilton, Christina Honeywell, Ahmed I. Marwan, Olga Gómez, Ross Welch, F. Viñals, Mary E. Norton, Regina M. Reynolds, Gregory J. Anger, Alexandra Benachi, Mar Bennasar, Stephen P. Emery, Enrique García-Torres, Aly Youssef, Mahesh Choolani, Enery Gómez-Montes, Pilar Ruiz, Fatima Crispi, Michael R. Harrison, Christine M. Armour, Paul Bussière, Jaroslav Stranik, I. Cataneo, Marian Kacerovsky, Druckerei Stückle, Mark I. Evans, Joshua A. Copel, Ginevra Salsi, Ignacio Herraiz, Ahmet Baschat, Baptiste Morel, Bo Jacobsson, Xudong Liu, Benjamin Viaris de Lesegno, Kuojen Tsao, Aryan Arbabi, Francois I. Luks, Henry L. Galan, Greg Ryan, Ivana Musilova, Danna Hull, Francisco A. Guerra, Matthew Green, D. Escribano, Tillie Chiu, Jan Deprest, Bettina F. Cuneo, Johannes C. von Alvensleben, Tomas Bestvina, Josep M. Martinez, Eduard Gratacós, Catherine Egoroff, Olga Kuzmin, Claire Goldsmith, Eléonore Blondiaux
Publikováno v:
Fetal Diagnosis and Therapy. 42:I-IV
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21c7ea15098dad7baa92df234a79336b
https://doi.org/10.1159/000485058
https://doi.org/10.1159/000485058
Publikováno v:
JMIR Medical Informatics
Background Automatic recognition of medical concepts in unstructured text is an important component of many clinical and research applications, and its accuracy has a large impact on electronic health record analysis. The mining of medical concepts i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b886f75353315b179014c58462b3ce24
https://doi.org/10.2196/12596
https://doi.org/10.2196/12596
Autor:
Shawna Morrison, Xudong Liu, Helene Perras, Michael Brudno, Danna Hull, Susan Crocker, Claire Goldsmith, Christina Honeywell, Tillie Chiu, Gregory A.L. Davies, Aryan Arbabi, Yanwei Xi, Amy J.M. McNaughton, Christine M. Armour, Natasha Macchio, Courtney Kiss, Emilie Creede, Mireille Cloutier, Alison Hamilton, Gregory J. Anger
Publikováno v:
Fetal diagnosis and therapy. 42(4)
Objective: To develop an alternate noninvasive prenatal testing method for the assessment of trisomy 21 (T21) using a targeted semiconductor sequencing approach. Methods: A customized AmpliSeq panel was designed with 1,067 primer pairs targeting spec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e65e362b0f8b71ae81e2ac74f32acf89
https://pubmed.ncbi.nlm.nih.gov/28511174
https://pubmed.ncbi.nlm.nih.gov/28511174
Publikováno v:
Bioinformatics (Oxford, England). 32(11)
Background: Non-invasive detection of aneuploidies in a fetal genome through analysis of cell-free DNA circulating in the maternal plasma is becoming a routine clinical test. Such tests, which rely on analyzing the read coverage or the allelic ratios
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e29f0e7aeac576a97bc555fa1921e354
https://pubmed.ncbi.nlm.nih.gov/27153615
https://pubmed.ncbi.nlm.nih.gov/27153615
Publikováno v:
BMC Bioinformatics
Motivation Although there are many different algorithms and software tools for aligning sequencing reads, fast gapped sequence search is far from solved. Strong interest in fast alignment is best reflected in the $106 prize for the Innocentive compet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed91efb14cc731df31664602f6cd08db
https://pubmed.ncbi.nlm.nih.gov/25252881
https://pubmed.ncbi.nlm.nih.gov/25252881
Publikováno v:
Bioinformatics
Motivation: The past several years have seen the development of methodologies to identify genomic variation within a fetus through the non-invasive sequencing of maternal blood plasma. These methods are based on the observation that maternal plasma c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22c9490947a0df5ca9102116131c3d11
https://pubmed.ncbi.nlm.nih.gov/24931986
https://pubmed.ncbi.nlm.nih.gov/24931986
Publikováno v:
MEMOCODE
Fast alignment of small sequences to a very large sequence has recently been under attention of many researchers, due to the applications in processing the biological sequences and specially mapping the short reads of Next Generation Sequencing to an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3850d61f1b91ca66d43dc0adc7f48bcd
https://doi.org/10.1109/memcod.2012.6292305
https://doi.org/10.1109/memcod.2012.6292305