Zobrazeno 1 - 10
of 686
pro vyhledávání: '"Momin, M."'
Autor:
Kapoor, Sayash, Cantrell, Emily, Peng, Kenny, Pham, Thanh Hien, Bail, Christopher A., Gundersen, Odd Erik, Hofman, Jake M., Hullman, Jessica, Lones, Michael A., Malik, Momin M., Nanayakkara, Priyanka, Poldrack, Russell A., Raji, Inioluwa Deborah, Roberts, Michael, Salganik, Matthew J., Serra-Garcia, Marta, Stewart, Brandon M., Vandewiele, Gilles, Narayanan, Arvind
Machine learning (ML) methods are proliferating in scientific research. However, the adoption of these methods has been accompanied by failures of validity, reproducibility, and generalizability. These failures can hinder scientific progress, lead to
Externí odkaz:
http://arxiv.org/abs/2308.07832
Autor:
Tracey A. Brereton, MS, Momin M. Malik, PhD, MS, MSc, Lauren M. Rost, PhD, MS, Joshua W. Ohde, PhD, Lu Zheng, PhD, MS, Kristelle A. Jose, MS, Kevin J. Peterson, PhD, MS, David Vidal, JD, Mark A. Lifson, PhD, Joe Melnick, BS, Bryce Flor, BS, Jason D. Greenwood, MD, MS, Kyle Fisher, MPA, Shauna M. Overgaard, PhD
Publikováno v:
Mayo Clinic Proceedings: Digital Health, Vol 2, Iss 2, Pp 246-251 (2024)
Externí odkaz:
https://doaj.org/article/bc76080cddbe46418191df6817137340
Publikováno v:
World Neurosurgery: X, Vol 25, Iss , Pp 100407- (2025)
Objective: To correlate the operative characteristics and complications of transforaminal lumbar interbody fusion (TLIF) to patient frailty status for the first time in a multicenter study. Methods: Using the American College of Surgeons National Sur
Externí odkaz:
https://doaj.org/article/b39eda2599164439a2488b56a3573004
Publikováno v:
In World Neurosurgery: X January 2025 25
Autor:
Mooseder, Angelina, Malik, Momin M., Lamba, Hemank, Erowid, Earth, Thyssen, Sylvia, Pfeffer, Juergen
Erowid.org is a website dedicated to documenting information about psychoactive substances, with over 36,000 user-submitted drug Experience Reports. We study the potential of these reports to provide information about characteristic experiences with
Externí odkaz:
http://arxiv.org/abs/2201.13064
Autor:
Brereton, Tracey A., Malik, Momin M., Rost, Lauren M., Ohde, Joshua W., Zheng, Lu, Jose, Kristelle A., Peterson, Kevin J., Vidal, David, Lifson, Mark A., Melnick, Joe, Flor, Bryce, Greenwood, Jason D., Fisher, Kyle, Overgaard, Shauna M.
Publikováno v:
In Mayo Clinic Proceedings: Digital Health June 2024 2(2):246-251
Autor:
Roberts, Hal, Bhargava, Rahul, Valiukas, Linas, Jen, Dennis, Malik, Momin M., Bishop, Cindy, Ndulue, Emily, Dave, Aashka, Clark, Justin, Etling, Bruce, Faris, Rob, Shah, Anushka, Rubinovitz, Jasmin, Hope, Alexis, D'Ignazio, Catherine, Bermejo, Fernando, Benkler, Yochai, Zuckerman, Ethan
We present the first full description of Media Cloud, an open source platform based on crawling hyperlink structure in operation for over 10 years, that for many uses will be the best way to collect data for studying the media ecosystem on the open w
Externí odkaz:
http://arxiv.org/abs/2104.03702
Autor:
Joshua W. Ohde, Momin M. Malik, Shauna M. Overgaard, Tracey A. Brereton, Lu Zheng, Kevin J. Peterson, Lauren M. Rost
Publikováno v:
Journal of Clinical and Translational Science, Vol 8, Pp 167-168 (2024)
OBJECTIVES/GOALS: Healthcare sectors are rushing to develop AI models. Yet, a dearth of coordinated practices leaves many teams struggling to implement models into practice. The Enterprise AI Translation Advisory Board uses across-disciplinary team t
Externí odkaz:
https://doaj.org/article/ad6ea10813ed44fbab8d2688780f2fb9
Autor:
Eugene T Richardson, Timothy McGinnis, Raphael Frankfurter, Yusupha Dibba, Mohamed Bailor Barrie, J Daniel Kelly, Smit Chitre, Raquel Baldwinson, Maya Malik, Sahr David Kpakiwa, Momin M Malik, Lulwama Mulalu, Mosoka Fallah, Ismail Rashid
Publikováno v:
BMJ Global Health, Vol 9, Iss 2 (2024)
Background Attempts to understand biosocial phenomena using scientific methods are often presented as value-neutral and objective; however, when used to reduce the complexity of open systems such as epidemics, these forms of inquiry necessarily entai
Externí odkaz:
https://doaj.org/article/9099ed75364e4055bf753e45677a9e91
We present a study to detect friendship, its strength, and its change from smartphone location data collectedamong members of a fraternity. We extract a rich set of co-location features and build classifiers that detectfriendships and close friendshi
Externí odkaz:
http://arxiv.org/abs/2008.02919