Nigam Haresh Shah (Nigam H Shah, Nigam Shah)

ResearcherID ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 57

Top Topics

Machine Learning

Computed Tomography

Ulcerative Colitis

Cognitive Impairment

Top Venues

Journal of the American Medical Informatics Association : JAMIA

Research square

JMIR medical informatics

NPJ digital medicine

This page only lists publications with an associated author ORCID identifier.

Publications

Louis Blankemeier, Joseph Paul Cohen, Ashwin Kumar, Dave Van Veen, Syed Gardezi, Magda Paschali, Zhihong Chen, Jean-Benoit Delbrouck, Eduardo Reis, Cesar Truyts, Christian Bluethgen, Malte Jensen, Sophie Ostmeier, Maya Varma, Jeya Valanarasu, Zhongnan Fang, Zepeng Huo, Zaid Nabulsi, Diego Ardila, Wei-Hung Weng, Edson Amaro Junior, Neera Ahuja, Jason Fries, Nigam Haresh Shah, Andrew Johnston, Robert Boutin, Andrew Wentland, Curtis P Langlotz, Jason Hom, Sergios Gatidis, Akshay S Chaudhari
Merlin: A Vision Language Foundation Model for 3D Computed Tomography. Research square (2024)
Suhana Bedi, Sneha S Jain, Nigam Haresh Shah
Evaluating the clinical benefits of LLMs. Nature medicine (2024)
Louis Blankemeier, Joseph Paul Cohen, Ashwin Kumar, Dave Van Veen, Syed Jamal Safdar Gardezi, Magdalini Paschali, Zhihong Chen, Jean-Benoit Delbrouck, Eduardo Reis, Cesar Truyts, Christian Bluethgen, Malte Engmann Kjeldskov Jensen, Sophie Ostmeier, Maya Varma, Jeya Maria Jose Valanarasu, Zhongnan Fang, Zepeng Huo, Zaid Nabulsi, Diego Ardila, Wei-Hung Weng, Edson Amaro, Neera Ahuja, Jason Fries, Nigam Haresh Shah, Andrew Johnston, Robert D Boutin, Andrew Wentland, Curtis P Langlotz, Jason Hom, Sergios Gatidis, Akshay S Chaudhari
Merlin: A Vision Language Foundation Model for 3D Computed Tomography. Research square (2024)
Louis Blankemeier, Joseph Paul Cohen, Ashwin Kumar, Dave Van Veen, Syed Gardezi, Magda Paschali, Zhihong Chen, Jean-Benoit Delbrouck, Eduardo Reis, Cesar Truyts, Christian Bluethgen, Malte Jensen, Sophie Ostmeier, Maya Varma, Jeya Valanarasu, Zhongnan Fang, Zepeng Huo, Zaid Nabulsi, Diego Ardila, Wei-Hung Weng, Edson Amaro Junior, Neera Ahuja, Jason Fries, Nigam Haresh Shah, Andrew Johnston, Robert Boutin, Andrew Wentland, Curtis P Langlotz, Jason Hom, Sergios Gatidis, Akshay S Chaudhari
Merlin: A Vision Language Foundation Model for 3D Computed Tomography. Research square (2024)
Lin Lawrence Guo, Jason A Fries, Ethan Steinberg, Scott Lanyon Fleming, Keith E Morse, Catherine Aftandilian, José D Posada, Nigam Haresh Shah, Lillian Sung
A multi-center study on the adaptability of a shared foundation model for electronic health records. NPJ digital medicine 7 (1) (2024)
Jenelle A Jindal, Matthew P Lungren, Nigam Haresh Shah
Ensuring useful adoption of generative artificial intelligence in healthcare. Journal of the American Medical Informatics Association : JAMIA (2024)
Jenelle A Jindal, Matthew P Lungren, Nigam Haresh Shah
Ensuring useful adoption of generative artificial intelligence in healthcare. Journal of the American Medical Informatics Association : JAMIA 31 (6) (2024)
Richard M Yoo, Ben T Viggiano, Krishna N Pundi, Jason A Fries, Aydin Zahedivash, Tanya Podchiyska, Alexander C Perino, Nigam Haresh Shah
Scalable Approach to Consumer Wearable Postmarket Surveillance: Development and Validation Study. JMIR medical informatics 12 (2024)
Jenelle A Jindal, Matthew P Lungren, Nigam Haresh Shah
Ensuring useful adoption of generative artificial intelligence in healthcare. Journal of the American Medical Informatics Association : JAMIA 31 (6) (2024)
Richard M Yoo, Ben T Viggiano, Krishna N Pundi, Jason A Fries, Aydin Zahedivash, Tanya Podchiyska, Alexander C Perino, Nigam Haresh Shah
Scalable Approach to Consumer Wearable Postmarket Surveillance: Development and Validation Study. JMIR medical informatics 12 (2024)
Richard M Yoo, Ben T Viggiano, Krishna N Pundi, Jason A Fries, Aydin Zahedivash, Tanya Podchiyska, Alexander C Perino, Nigam Haresh Shah
Scalable Approach to Consumer Wearable Postmarket Surveillance: Development and Validation Study. JMIR medical informatics 12 (2024)
Lin Lawrence Guo, Jason A Fries, Ethan Steinberg, Scott Lanyon Fleming, Keith E Morse, Catherine Aftandilian, José D Posada, Nigam Haresh Shah, Lillian Sung
A multi-center study on the adaptability of a shared foundation model for electronic health records. NPJ digital medicine 7 (1) (2024)
Louis Blankemeier, Joseph Paul Cohen, Ashwin Kumar, Dave Van Veen, Syed Jamal Safdar Gardezi, Magdalini Paschali, Zhihong Chen, Jean-Benoit Delbrouck, Eduardo Reis, Cesar Truyts, Christian Bluethgen, Malte Engmann Kjeldskov Jensen, Sophie Ostmeier, Maya Varma, Jeya Maria Jose Valanarasu, Zhongnan Fang, Zepeng Huo, Zaid Nabulsi, Diego Ardila, Wei-Hung Weng, Edson Amaro, Neera Ahuja, Jason Fries, Nigam Haresh Shah, Andrew Johnston, Robert D Boutin, Andrew Wentland, Curtis P Langlotz, Jason Hom, Sergios Gatidis, Akshay S Chaudhari
Merlin: A Vision Language Foundation Model for 3D Computed Tomography. Research square (2024)
Louis Blankemeier, Joseph Paul Cohen, Ashwin Kumar, Dave Van Veen, Syed Jamal Safdar Gardezi, Magdalini Paschali, Zhihong Chen, Jean-Benoit Delbrouck, Eduardo Reis, Cesar Truyts, Christian Bluethgen, Malte Engmann Kjeldskov Jensen, Sophie Ostmeier, Maya Varma, Jeya Maria Jose Valanarasu, Zhongnan Fang, Zepeng Huo, Zaid Nabulsi, Diego Ardila, Wei-Hung Weng, Edson Amaro, Neera Ahuja, Jason Fries, Nigam Haresh Shah, Andrew Johnston, Robert D Boutin, Andrew Wentland, Curtis P Langlotz, Jason Hom, Sergios Gatidis, Akshay S Chaudhari
Merlin: A Vision Language Foundation Model for 3D Computed Tomography. Research square (2024)
Richard M Yoo, Ben T Viggiano, Krishna N Pundi, Jason A Fries, Aydin Zahedivash, Tanya Podchiyska, Alexander C Perino, Nigam Haresh Shah
Scalable Approach to Consumer Wearable Postmarket Surveillance: Development and Validation Study. JMIR medical informatics 12 (2024)
Lin Lawrence Guo, Jason A Fries, Ethan Steinberg, Scott Lanyon Fleming, Keith E Morse, Catherine Aftandilian, José D Posada, Nigam Haresh Shah, Lillian Sung
A multi-center study on the adaptability of a shared foundation model for electronic health records. NPJ digital medicine 7 (1) (2024)
Joshua Lemmon, Lin Lawrence Guo, Ethan Steinberg, Keith E Morse, Scott Lanyon Fleming, Catherine Aftandilian, Stephen R Pfohl, Jose D Posada, Nigam Haresh Shah, Jason Fries, Lillian Sung
Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks. Journal of the American Medical Informatics Association : JAMIA (2023)
Alexey Youssef, Michael Pencina, Anshul Thakur, Tingting Zhu, David Clifton, Nigam Haresh Shah
External validation of AI models in health should be replaced with recurring local validation. Nature medicine (2023)
Yizhe Xu, Agata Foryciarz, Ethan Steinberg, Nigam Haresh Shah
Clinical utility gains from incorporating comorbidity and geographic location information into risk estimation equations for atherosclerotic cardiovascular disease. Journal of the American Medical Informatics Association : JAMIA (2023)
Michael Wornow, Yizhe Xu, Rahul Thapa, Birju S Patel, Ethan H Steinberg, Scott Lanyon Fleming, Michael A Pfeffer, Jason Fries, Nigam Haresh Shah
The shaky foundations of large language models and foundation models for electronic health records. NPJ digital medicine 6 (1) (2023)
Conor K Corbin, Rob Maclay, Aakash Acharya, Sreedevi Mony, Soumya Punnathanam, Rahul Thapa, Nikesh Kotecha, Nigam Haresh Shah, Jonathan H Chen
DEPLOYR: a technical framework for deploying custom real-time machine learning models into the electronic medical record. Journal of the American Medical Informatics Association : JAMIA (2023)
Alison Callahan, Euan Ashley, Somalee Datta, Priyamvada Desai, Todd A Ferris, Jason A Fries, Michael Halaas, Curtis P Langlotz, Sean Mackey, José D Posada, Michael A Pfeffer, Nigam Haresh Shah
The Stanford Medicine data science ecosystem for clinical and translational research. JAMIA open 6 (3) (2023)
Ellen R Bowen, Phillip DiGiacomo, Hannah P Moeller, Kevin A Guttenplan, Benjamin A H Smith, Marlene L Heberling, Laura Vidano, Nigam Haresh Shah, Mehrdad Shamloo, Jennifer L Wilson, Kevin J Grimes
Beta-2 adrenergic receptor agonism alters astrocyte phagocytic activity and has potential applications to psychiatric disease. Discover mental health 3 (1) (2023)
Karandeep Singh, Nigam Haresh Shah, Andrew Julian Vickers
Assessing the net benefit of machine learning models in the presence of resource constraints. Journal of the American Medical Informatics Association : JAMIA 30 (4) (2023)
Karandeep Singh, Nigam Haresh Shah, Andrew Julian Vickers
Assessing the net benefit of machine learning models in the presence of resource constraints. Journal of the American Medical Informatics Association : JAMIA (2023)
Juan M Banda, Nigam Haresh Shah, Vyjeyanthi S Periyakoil
Characterizing subgroup performance of probabilistic phenotype algorithms within older adults: a case study for dementia, mild cognitive impairment, and Alzheimer's and Parkinson's diseases. JAMIA open 6 (2) (2023)
Diana Cagliero, Natalie Deuitch, Nigam Haresh Shah, Chris Feudtner, Danton Char
A framework to identify ethical concerns with ML-guided care workflows: a case study of mortality prediction to guide advance care planning. Journal of the American Medical Informatics Association : JAMIA (2023)
Agata Foryciarz, Stephen R Pfohl, Birju Patel, Nigam Haresh Shah
Evaluating algorithmic fairness in the presence of clinical guidelines: the case of atherosclerotic cardiovascular disease risk estimation. BMJ health & care informatics 29 (1) (2022)
Natasha Alexander, Catherine Aftandilian, Lin Lawrence Guo, Erin Plenert, José D Posada, Jason A Fries, Scott Lanyon Fleming, Alistair Edward William Johnson, Nigam Haresh Shah, Lillian Sung
Perspective Toward Machine Learning Implementation in Pediatric Medicine: Mixed Methods Study. JMIR medical informatics 10 (11) (2022)
Martin G Seneviratne, Ron C Li, Meredith Schreier, Daniel Lopez-Martinez, Birju S Patel, Alex Yakubovich, Jonas B Kemp, Eric Loreaux, Paul Gamble, Kristel El-Khoury, Laura Vardoulakis, Doris Wong, Janjri Desai, Jonathan H Chen, Keith E Morse, N Lance Downing, Lutz T Finger, Ming-Jun Chen, Nigam Haresh Shah
User-centred design for machine learning in health care: a case study from care management. BMJ health & care informatics 29 (1) (2022)
Stacie Vilendrer, Mary E Lough, Donn W Garvert, Monique H Lambert, Jonathan Hsijing Lu, Birju S Patel, Nigam Haresh Shah, Michelle Y Williams, Samantha M R Kling
Nursing Workflow Change in a COVID-19 Inpatient Unit Following the Deployment of Inpatient Telehealth: Observational Study Using a Real-Time Locating System. Journal of medical Internet research 24 (6) (2022)
Shih-Cheng Huang, Akshay S Chaudhari, Curtis P Langlotz, Nigam Haresh Shah, Serena Yeung, Matthew P Lungren
Developing medical imaging AI for emerging infectious diseases. Nature communications 13 (1) (2022)
Chongliang Luo, Md Nazmul Islam, Natalie E Sheils, John Buresh, Jenna Marie Reps, Martijn J Schuemie, Patrick B Ryan, Mackenzie Edmondson, Rui Duan, Jiayi Tong, Arielle Marks-Anglin, Jiang Bian, Zhaoyi Chen, Talita Duarte-Salles, Sergio Fernández-Bertolín, Thomas Falconer, Chungsoo Kim, Rae Woong Park, Stephen R Pfohl, Nigam Haresh Shah, Andrew E Williams, Hua Xu, Yujia Zhou, Ebbing Lautenbach, Jalpa A Doshi, Rachel M Werner, David A Asch, Yong Chen
DLMM as a lossless one-shot algorithm for collaborative multi-site distributed linear mixed models. Nature communications 13 (1) (2022)
Viknesh Sounderajah, Hutan Ashrafian, Sherri Rose, Nigam Haresh Shah, Marzyeh Ghassemi, Robert Golub, Charles E Kahn, Andre Esteva, Alan Karthikesalingam, Bilal Mateen, Dale R Webster, Dan Milea, Daniel Shu Wei Ting, Darren Treanor, Dominic Cushnan, Dominic King, Duncan McPherson, Ben Glocker, Felix Greaves, Leanne Harling, Johan Ordish, Jérémie F Cohen, Jon Deeks, Mariska Leeflang, Matthew Diamond, Matthew D F McInnes, Melissa Danielle McCradden, Michael D Abràmoff, Pasha Normahani, Sheraz R Markar, Stephanie Chang, Xiaoxuan Liu, Susan Mallett, Shravya Shetty, Alastair Keith Denniston, Gary Stephen Collins, David Moher, Penny Whiting, Patrick M Bossuyt, Ara Darzi
A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI. Nature medicine 27 (10) (2021)
Michael F Gensheimer, Sonya Aggarwal, Kathryn R K Benson, Justin N Carter, A Solomon Henry, Douglas J Wood, Scott G Soltys, Steven Hancock, Erqi Pollom, Nigam Haresh Shah, Daniel T Chang
Automated model versus treating physician for predicting survival time of patients with metastatic cancer. Journal of the American Medical Informatics Association : JAMIA 28 (6) (2021)
Tina Hernandez Boussard, Matthew P Lungren, Nigam Haresh Shah
Conflicting information from the Food and Drug Administration: Missed opportunity to lead standards for safe and effective medical artificial intelligence solutions. Journal of the American Medical Informatics Association : JAMIA 28 (6) (2021)
Birju S Patel, Ethan Steinberg, Stephen R Pfohl, Nigam Haresh Shah
Learning decision thresholds for risk stratification models from aggregate clinician behavior. Journal of the American Medical Informatics Association : JAMIA 28 (10) (2021)
Jason A Fries, Ethan Steinberg, Saelig Khattar, Scott Lanyon Fleming, José D Posada, Alison Callahan, Nigam Haresh Shah
Ontology-driven weak supervision for clinical entity classification in electronic health records. Nature communications 12 (1) (2021)
Alyssa M Flores, Alejandro Schuler, Anne Verena Eberhard, Jeffrey W Olin, John P Cooke, Nicholas J Leeper, Nigam Haresh Shah, Elsie Gyang Ross
Unsupervised Learning for Automated Detection of Coronary Artery Disease Subgroups. Journal of the American Heart Association 10 (23) (2021)
Daniel Prieto Alhambra, Kristin Kostka, Talita Duarte-Salles, Albert Prats-Uribe, Anthony G Sena, Andrea Pistillo, Sara Khalid, Lana Lai, Asieh Golozar, Thamir M Alshammari, Dalia Dawoud, Fredrik Nyberg, Adam Wilcox, Alan Andryc, Andrew E Williams, Anna Ostropolets, Carlos Areia, Chi Young Jung, Christopher Harle, Christian Reich, Clair Blacketer, Daniel Morales, David A Dorr, Edward Burn, Elena Roel, Eng Hooi Tan, Evan Minty, Frank DeFalco, Gabriel de Maeztu, Gigi Lipori, Hiba Alghoul, Hong Zhu, Jason A Thomas, Jiang Bian, Jimyung Park, Jordi Martínez Roldán, José D Posada, Juan M Banda, Juan P Horcajada, Julianna Kohler, Karishma Shah, Karthik Natarajan, Kristine Lynch, Li Liu, Lisa Schilling, Martina Recalde, Matthew Spotnitz, Mengchun Gong, Michael Matheny, Neus Valveny, Nicole Weiskopf, Nigam Haresh Shah, Osaid Alser, Paula Casajust, Rae Woong Park, Robert Schuff, Sarah Seager, Scott DuVall, Seng Chan You, Seokyoung Song, Sergio Fernández-Bertolín, Stephen Fortin, Tanja Magoc, Thomas Falconer, Vignesh Subbian, Vojtech Huser, Waheed-Ul-Rahman Ahmed, William Carter, Yin Guan, Yankuic Galvan, Xing He, Peter Rijnbeek, George Hripcsak, Patrick Ryan, Marc A Suchard
Unraveling COVID-19: a large-scale characterization of 4.5 million COVID-19 cases using CHARYBDIS. Research square (2021)
Elena Roel, Andrea Pistillo, Martina Recalde, Anthony G Sena, Sergio Fernández-Bertolín, Maria Aragón, Diana Puente, Waheed-Ul-Rahman Ahmed, Hiba Alghoul, Osaid H Alser, Thamir M Alshammari, Carlos Morgado Areia, Clair Blacketer, William Carter, Paula Casajust, Aedin C Culhane, Dalia M Dawoud, Frank DeFalco, Scott L Duvall, Thomas Falconer, Asieh Golozar, Mengchun Gong, Laura L Hester, George Hripcsak, Eng Hooi Tan, Hokyun Jeon, Jitendra Jonnagaddala, Lana Y H Lai, Kristine E Lynch, Michael E Matheny, Daniel R Morales, Karthik Natarajan, Fredrik Nyberg, Anna Ostropolets, José D Posada, Albert Prats-Uribe, Christian G Reich, Donna R Rivera, Lisa M Schilling, Isabelle Soerjomataram, Karishma Shah, Nigam Haresh Shah, Yang Shen, Matthew Spotniz, Vignesh Subbian, Marc A Suchard, Annalisa Trama, Lin Zhang, Ying Zhang, Patrick B Ryan, Daniel Prieto-Alhambra, Kristin Kostka, Talita Duarte Salles
Characteristics and Outcomes of Over 300,000 Patients with COVID-19 and History of Cancer in the United States and Spain. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 30 (10) (2021)
Kenneth Jung, Sehj Kashyap, Anand Avati, Stephanie Harman, Heather Shaw, Ron Li, Margaret Smith, Kenny Shum, Jacob Javitz, Yohan Vetteth, Tina Seto, Steven C Bagley, Nigam Haresh Shah
A framework for making predictive models useful in practice. Journal of the American Medical Informatics Association : JAMIA 28 (6) (2021)
Lawrence Bai, Madeleine K D Scott, Ethan Steinberg, Laurynas Kalesinskas, Aida Habtezion, Nigam Haresh Shah, Purvesh Khatri
Computational drug repositioning of atorvastatin for ulcerative colitis. Journal of the American Medical Informatics Association : JAMIA 28 (11) (2021)
Alison Callahan, Vladimir Polony, José D Posada, Juan M Banda, Saurabh Gombar, Nigam Haresh Shah
ACE: the Advanced Cohort Engine for searching longitudinal patient records. Journal of the American Medical Informatics Association : JAMIA 28 (7) (2021)
Sehj Kashyap, Keith E Morse, Birju S Patel, Nigam Haresh Shah
A survey of extant organizational and computational setups for deploying predictive models in health systems. Journal of the American Medical Informatics Association : JAMIA 28 (11) (2021)
Anastasiya Nestsiarovich, Jenna M Reps, Michael E Matheny, Scott L DuVall, Kristine E Lynch, Maura Beaton, Xinzhuo Jiang, Matthew E Spotnitz, Stephen R Pfohl, Nigam Haresh Shah, Carmen Olga Torre, Christian G Reich, Dong Yun Lee, Sang Joon Son, Seng Chan You, Rae Woong Park, Patrick B Ryan, Christophe Gerard Lambert
Predictors of diagnostic transition from major depressive disorder to bipolar disorder: a retrospective observational network study. Translational psychiatry 11 (1) (2021)
Dustin R Long, Saurabh Gombar, Catherine A Hogan, Alex L Greninger, Vikas OReilly Shah, Chloe Bryson-Cahn, Bryan Stevens, Arjun Rustagi, Keith R Jerome, Christina S Kong, James Zehnder, Nigam Haresh Shah, Noel S Weiss, Benjamin A Pinsky, Jacob Sunshine
Occurrence and Timing of Subsequent SARS-CoV-2 RT-PCR Positivity Among Initially Negative Patients. medRxiv : the preprint server for health sciences (2020)
Katharina Röeltgen, Abigail E Powell, Oliver Fabian Wirz, Bryan A Stevens, Catherine A Hogan, Javaria Najeeb, Molly Hunter, Hannah Wang, Malaya Kumar Sahoo, ChunHong Huang, Fumiko Yamamoto, Monali Manohar, Justin Manalac, Ana Rita Otrelo-Cardoso, Tho D Pham, Arjun Rustagi, Angela J Rogers, Nigam Haresh Shah, Catherine A Blish, Jennifer R Cochran, Theodore S Jardetzky, James L Zehnder, Taia T Wang, Balasubramanian Narasimhan, Saurabh Gombar, Robert Tibshirani, Kari Christine Nadeau, Peter S Kim, Benjamin A Pinsky, Scott D Boyd
Defining the features and duration of antibody responses to SARS-CoV-2 infection associated with disease severity and outcome. Science immunology 5 (54) (2020)
David B Larson, David Christopher Magnus, Matthew P Lungren, Nigam Haresh Shah, Curtis P Langlotz
Ethics of Using and Sharing Clinical Imaging Data for Artificial Intelligence: A Proposed Framework. Radiology 295 (3) (2020)
Edward Burn, Seng Chan You, Anthony G Sena, Kristin Kostka, Hamed Abedtash, Maria Tereza Fernandes Abrahão, Amanda Alberga, Hiba Alghoul, Osaid H Alser, Thamir M Alshammari, Maria Aragon, Carlos Morgado 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, Yee Suk 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, José D Posada, Albert Prats-Uribe, Gowtham Rao, Christian Reich, Yeunsook Rho, Peter Rijnbeek, Lisa M Schilling, Martijn Schuemie, Nigam Haresh Shah, Azza Shoaibi, Seok-Young Song, Matthew Spotnitz, Marc A Suchard, Joel N Swerdel, David Vizcaya, Salvatore Volpe, Haini Wen, Andrew E Williams, Belay Birlie Yimer, Lin Zhang, Oleg Zhuk, Daniel Prieto Alhambra, Patrick Ryan
Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study. Nature communications 11 (1) (2020)
Keith E Morse, Steven C Bagley, Nigam Haresh Shah
Estimate the hidden deployment cost of predictive models to improve patient care. Nature medicine 26 (1) (2020)
Azadeh Nikfarjam, Julia D Ransohoff, Alison Callahan, Erik Jones, Brian Loew, Bernice Y Kwong, Kavita Y Sarin, Nigam Haresh Shah
Early Detection of Adverse Drug Reactions in Social Health Networks: A Natural Language Processing Pipeline for Signal Detection. JMIR public health and surveillance 5 (2) (2019)
Vibhu Agarwal, Matthew Smuck, Christy Tomkins-Lane, Nigam Haresh Shah
Inferring Physical Function From Wearable Activity Monitors: Analysis of Free-Living Activity Data From Patients With Knee Osteoarthritis. JMIR mHealth and uHealth 6 (12) (2018)
Aurelie Tomczak, Jonathan M Mortensen, Rainer Winnenburg, Charles Liu, Dominique T Alessi, Varsha Swamy, Francesco Vallania, Shane Lofgren, Winston A Haynes, Nigam Haresh Shah, Mark A Musen, Purvesh Khatri
Interpretation of biological experiments changes with evolution of the Gene Ontology and its annotations. Scientific reports 8 (1) (2018)
Katie J Quinn, Nigam Haresh Shah
A dataset quantifying polypharmacy in the United States. Scientific data 4 (2017)
Jaspreet Pannu, Sarah Poole, Neil Shah, Nigam Haresh Shah
Assessing Screening Guidelines for Cardiovascular Disease Risk Factors using Routinely Collected Data. Scientific reports 7 (1) (2017)
Vibhu Agarwal, Liangliang Zhang, Josh Zhu, Shiyuan Fang, Tim Cheng, Chloe Hong, Nigam Haresh Shah
Impact of Predicting Health Care Utilization Via Web Search Behavior: A Data-Driven Analysis. Journal of medical Internet research 18 (9) (2016)
Alison Callahan, Igor Pernek, Gregor Štiglic, Jure Leskovec, Howard R Strasberg, Nigam Haresh Shah
Analyzing Information Seeking and Drug-Safety Alert Response by Health Care Professionals as New Methods for Surveillance. Journal of medical Internet research 17 (8) (2015)