Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Nigam Shah"'
Autor:
Lin Lawrence Guo, Jason Fries, Ethan Steinberg, Scott Lanyon Fleming, Keith Morse, Catherine Aftandilian, Jose Posada, Nigam Shah, Lillian Sung
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-9 (2024)
Abstract Foundation models are transforming artificial intelligence (AI) in healthcare by providing modular components adaptable for various downstream tasks, making AI development more scalable and cost-effective. Foundation models for structured el
Externí odkaz:
https://doaj.org/article/bc024ab4b59f443d94c32dab6a226ca1
Autor:
Lin Lawrence Guo, Keith E. Morse, Catherine Aftandilian, Ethan Steinberg, Jason Fries, Jose Posada, Scott Lanyon Fleming, Joshua Lemmon, Karim Jessa, Nigam Shah, Lillian Sung
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background Diagnostic codes are commonly used as inputs for clinical prediction models, to create labels for prediction tasks, and to identify cohorts for multicenter network studies. However, the coverage rates of diagnostic codes and their
Externí odkaz:
https://doaj.org/article/947161b3afdd48b8b6bd5931600923ac
Autor:
Ellen R. Bowen, Phillip DiGiacomo, Hannah P. Fraser, Kevin Guttenplan, Benjamin A. H. Smith, Marlene L. Heberling, Laura Vidano, Nigam Shah, Mehrdad Shamloo, Jennifer L. Wilson, Kevin V. Grimes
Publikováno v:
Discover Mental Health, Vol 3, Iss 1, Pp 1-20 (2023)
Abstract Schizophrenia is a debilitating condition necessitating more efficacious therapies. Previous studies suggested that schizophrenia development is associated with aberrant synaptic pruning by glial cells. We pursued an interdisciplinary approa
Externí odkaz:
https://doaj.org/article/3b606447bef44f88a84ab46ba8870c28
Publikováno v:
BMC Medical Research Methodology, Vol 23, Iss 1, Pp 1-13 (2023)
Abstract Background Non-experimental studies (also known as observational studies) are valuable for estimating the effects of various medical interventions, but are notoriously difficult to evaluate because the methods used in non-experimental studie
Externí odkaz:
https://doaj.org/article/1a75e03d4d66424d8d726dd131d0d17a
Autor:
Lin Lawrence Guo, Ethan Steinberg, Scott Lanyon Fleming, Jose Posada, Joshua Lemmon, Stephen R. Pfohl, Nigam Shah, Jason Fries, Lillian Sung
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Temporal distribution shift negatively impacts the performance of clinical prediction models over time. Pretraining foundation models using self-supervised learning on electronic health records (EHR) may be effective in acquiring informative
Externí odkaz:
https://doaj.org/article/9e28a0f17b57475b806f0414f5e07a6e
Autor:
Shih-Cheng Huang, Akshay S. Chaudhari, Curtis P. Langlotz, Nigam Shah, Serena Yeung, Matthew P. Lungren
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-6 (2022)
Very few of the COVID-19 ML models were fit for deployment in real-world settings. In this Comment, Huang et al. discuss the main steps required to develop clinically useful models in the context of an emerging infectious disease.
Externí odkaz:
https://doaj.org/article/eb9f3ee7d5c54097a08f8c3072c9887a
Publikováno v:
CPT: Pharmacometrics & Systems Pharmacology, Vol 11, Iss 11, Pp 1527-1538 (2022)
Abstract In some cases, drug combinations affect adverse outcome phenotypes by binding the same protein; however, drug‐binding proteins are associated through protein–protein interaction (PPI) networks within the cell, suggesting that drug phenot
Externí odkaz:
https://doaj.org/article/40b2b23cd4074e4bb96082a9c2d0926e
Autor:
Rohan Khera, Yuan Lu, Michael E Matheny, Kenneth KC Man, Paul Nagy, Nigam Shah, Martijn J Schuemie, Scott L DuVall, Seng Chan You, Jose D Posada, George Hripcsak, Marc A Suchard, Patrick B Ryan, Anna Ostropolets, Evan Minty, Clair Blacketer, Arya Aminorroaya, Thomas Falconer, Nestoras Mathioudakis, Jin J Zhou, Can Yin, Kelly Li, Lovedeep Singh Dhingra, Faaizah Arshad, Mary G Bowring, Fan Bu, David A Dorr, Tina E French, Elizabeth E Hanchrow, Scott Horban, Wallis CY Lau, Yuntian Liu, Michael F McLemore, Akihiko Nishimura, Sarah Seager, Eric YF Wan, Jianxiao Yang
Publikováno v:
BMJ Medicine, Vol 2, Iss 1 (2023)
Objective To assess the uptake of second line antihyperglycaemic drugs among patients with type 2 diabetes mellitus who are receiving metformin.Design Federated pharmacoepidemiological evaluation in LEGEND-T2DM.Setting 10 US and seven non-US electron
Externí odkaz:
https://doaj.org/article/cd277362d5684feaa32b34690f64437c
Autor:
Lin Lawrence Guo, Stephen R. Pfohl, Jason Fries, Alistair E. W. Johnson, Jose Posada, Catherine Aftandilian, Nigam Shah, Lillian Sung
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract Temporal dataset shift associated with changes in healthcare over time is a barrier to deploying machine learning-based clinical decision support systems. Algorithms that learn robust models by estimating invariant properties across time per
Externí odkaz:
https://doaj.org/article/d2a984b41a95432ca8ec87e3d320e5f3
Autor:
Daniel Prieto-Alhambra, Talita Duarte-Sales, Heba Alghoul, Thamir M Alshammari, Clair Blacketer, Waheed-Ul-Rahman Ahmed, Lana Lai, Scott DuVall, Fredrik Nyberg, Michael Matheny, Peter Rijnbeek, Jose Posada, Anthony Sena, Matthew Spotnitz, Seng Chan You, Marc Suchard, Patrick Ryan, George Hripcsak, Daniel Morales, Nigam Shah, Katia Verhamme, David Moreno-Martos, Kristin Kostka, Anna Ostropolets
Publikováno v:
Wellcome Open Research, Vol 7 (2023)
Background: Characterization studies of COVID-19 patients with chronic obstructive pulmonary disease (COPD) are limited in size and scope. The aim of the study is to provide a large-scale characterization of COVID-19 patients with COPD. Methods: We i
Externí odkaz:
https://doaj.org/article/3c24b0f8be2844f7aada5972f77a7245