Chapter 9: Analyses using disease ontologies.

por Nigam H Shah, Tyler Cole, Mark A Musen
Publicado 2012

Developing a delivery science for artificial intelligence in healthcare

por Ron C. Li, Steven M. Asch, Nigam H. Shah
Publicado 2020

Assessing Screening Guidelines for Cardiovascular Disease Risk Factors using Routinely Collected Data

por Jaspreet Pannu, Sarah Poole, Neil Shah, Nigam H. Shah
Publicado 2017

Practice-based evidence: profiling the safety of cilostazol by text-mining of clinical notes.

por Nicholas J Leeper, Anna Bauer-Mehren, Srinivasan V Iyer, Paea Lependu, Cliff Olson, Nigam H Shah
Publicado 2013

Estimating the efficacy of symptom-based screening for COVID-19

por Alison Callahan, Ethan Steinberg, Jason A. Fries, Saurabh Gombar, Birju Patel, Conor K. Corbin, Nigam H. Shah
Publicado 2020

Ontology-driven weak supervision for clinical entity classification in electronic health records

por Jason A. Fries, Ethan Steinberg, Saelig Khattar, Scott L. Fleming, Jose Posada, Alison Callahan, Nigam H. Shah
Publicado 2021

Interpretation of biological experiments changes with evolution of the Gene Ontology and its annotations

por Aurelie Tomczak, Jonathan M. Mortensen, Rainer Winnenburg, Charles Liu, Dominique T. Alessi, Varsha Swamy, Francesco Vallania, Shane Lofgren, Winston Haynes, Nigam H. Shah, Mark A. Musen, Purvesh Khatri
Publicado 2018

Assessing the accuracy of automatic speech recognition for psychotherapy

por Adam S. Miner, Albert Haque, Jason A. Fries, Scott L. Fleming, Denise E. Wilfley, G. Terence Wilson, Arnold Milstein, Dan Jurafsky, Bruce A. Arnow, W. Stewart Agras, Li Fei-Fei, Nigam H. Shah
Publicado 2020

Comparative safety and effectiveness of alendronate versus raloxifene in women with osteoporosis

por Yeesuk Kim, Yuxi Tian, Jianxiao Yang, Vojtech Huser, Peng Jin, Christophe G. Lambert, Hojun Park, Seng Chan You, Rae Woong Park, Peter R. Rijnbeek, Mui Van Zandt, Christian Reich, Rohit Vashisht, Yonghui Wu, Jon Duke, George Hripcsak, David Madigan, Nigam H. Shah, Patrick B. Ryan, Martijn J. Schuemie, Marc A. Suchard
Publicado 2020

Scalable and accurate deep learning with electronic health records

por Alvin Rajkomar, Eyal Oren, Kai Chen, Andrew M. Dai, Nissan Hajaj, Michaela Hardt, Peter J. Liu, Xiaobing Liu, Jake Marcus, Mimi Sun, Patrik Sundberg, Hector Yee, Kun Zhang, Yi Zhang, Gerardo Flores, Gavin E. Duggan, Jamie Irvine, Quoc Le, Kurt Litsch, Alexander Mossin, Justin Tansuwan, De Wang, James Wexler, Jimbo Wilson, Dana Ludwig, Samuel L. Volchenboum, Katherine Chou, Michael Pearson, Srinivasan Madabushi, Nigam H. Shah, Atul J. Butte, Michael D. Howell, Claire Cui, Greg S. Corrado, Jeffrey Dean
Publicado 2018

Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study

por Edward Burn, Seng Chan You, Anthony G. Sena, Kristin Kostka, Hamed Abedtash, Maria Tereza F. Abrahão, Amanda Alberga, Heba Alghoul, Osaid Alser, Thamir M. Alshammari, Maria Aragon, Carlos Areia, Juan M. Banda, Jaehyeong Cho, Aedin C. Culhane, Alexander Davydov, Frank J. DeFalco, Talita Duarte-Salles, Scott DuVall, Thomas Falconer, Sergio Fernandez-Bertolin, Weihua Gao, Asieh Golozar, Jill Hardin, George Hripcsak, Vojtech Huser, Hokyun Jeon, Yonghua Jing, Chi Young Jung, Benjamin Skov Kaas-Hansen, Denys Kaduk, Seamus Kent, Yeesuk Kim, Spyros Kolovos, Jennifer C. E. Lane, Hyejin Lee, Kristine E. Lynch, Rupa Makadia, Michael E. Matheny, Paras P. Mehta, Daniel R. Morales, Karthik Natarajan, Fredrik Nyberg, Anna Ostropolets, Rae Woong Park, Jimyung Park, Jose D. Posada, Albert Prats-Uribe, Gowtham Rao, Christian Reich, Yeunsook Rho, Peter Rijnbeek, Lisa M. Schilling, Martijn Schuemie, Nigam H. Shah, Azza Shoaibi, Seokyoung Song, Matthew Spotnitz, Marc A. Suchard, Joel N. Swerdel, David Vizcaya, Salvatore Volpe, Haini Wen, Andrew E. Williams, Belay B. Yimer, Lin Zhang, Oleg Zhuk, Daniel Prieto-Alhambra, Patrick Ryan
Publicado 2020