Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ashwin S. Sawant"'
Autor:
Faris Gulamali, Pushkala Jayaraman, Ashwin S. Sawant, Jacob Desman, Benjamin Fox, Annette Chang, Brian Y. Soong, Naveen Arivazagan, Alexandra S. Reynolds, Son Q. Duong, Akhil Vaid, Patricia Kovatch, Robert Freeman, Ira S. Hofer, Ankit Sakhuja, Neha S. Dangayach, David S. Reich, Alexander W. Charney, Girish N. Nadkarni
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-7 (2024)
Abstract Increased intracranial pressure (ICP) ≥15 mmHg is associated with adverse neurological outcomes, but needs invasive intracranial monitoring. Using the publicly available MIMIC-III Waveform Database (2000–2013) from Boston, we developed a
Externí odkaz:
https://doaj.org/article/8d9fbb73568949159dfb9737079a6077
Autor:
Faris F. Gulamali, Ashwin S. Sawant, Patricia Kovatch, Benjamin Glicksberg, Alexander Charney, Girish N. Nadkarni, Eric Oermann
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-8 (2022)
Abstract Sample size estimation is a crucial step in experimental design but is understudied in the context of deep learning. Currently, estimating the quantity of labeled data needed to train a classifier to a desired performance, is largely based o
Externí odkaz:
https://doaj.org/article/58170488a06d42cbb95fa02c45949816
Publikováno v:
Current Opinion in Nephrology & Hypertension. 31:548-552
Risk stratification for chronic kidney is becoming increasingly important as a clinical tool for both treatment and prevention measures. The goal of this review is to identify how machine learning tools contribute and facilitate risk stratification i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a9f79fe3aa1260baf69e6c91721ea85
https://doi.org/10.1097/mnh.0000000000000832
https://doi.org/10.1097/mnh.0000000000000832
Publikováno v:
American Journal of Gastroenterology. 113:S1293-S1294
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1c5fec3ca2d6816aa2f2fe261b0b4a4
https://doi.org/10.14309/00000434-201810001-02291
https://doi.org/10.14309/00000434-201810001-02291