| Diminished EEG habituation to novel events effectively classifies Parkinson’s patients JF Cavanagh, P Kumar, AA Mueller, SP Richardson, A Mueen Clinical Neurophysiology 129 (2), 409-418, 2018 | 94 | 2018 |
| Machine learning prediction and tau-based screening identifies potential Alzheimer’s disease genes relevant to immunity J Binder, O Ursu, C Bologa, S Jiang, N Maphis, S Dadras, D Chisholm, ... Communications Biology 5 (1), 125, 2022 | 26 | 2022 |
| Imputation and characterization of uncoded self-harm in major mental illness using machine learning P Kumar, A Nestsiarovich, SJ Nelson, B Kerner, DJ Perkins, CG Lambert Journal of the American Medical Informatics Association 27 (1), 136-146, 2020 | 19 | 2020 |
| A Workflow of Integrated Resources to Catalyze Network Pharmacology Driven COVID-19 Research G Zahoranszky-Kohalmi, VB Siramshetty, P Kumar, M Gurumurthy, ... Journal of Chemical Information and Modeling 62 (3), 718-729, 2022 | 5 | 2022 |
| Using Machine Learning Imputed Outcomes to Assess Drug-Dependent Risk of Self-Harm in Patients with Bipolar Disorder: A Comparative Effectiveness Study A Nestsiarovich, P Kumar, NR Lauve, NG Hurwitz, AJ Mazurie, ... JMIR mental health 8 (4), e24522, 2021 | 5 | 2021 |
| Transforming the 2.33m-patient medicare synthetic public use files to the omop cdmv5: Etl-cms software and processed data available and feature-complete P Kumar, Amritansh, CG Lambert 2016 OHDSI Symposium, 2016 | 5 | 2016 |
| Toxicology knowledge graph for structural birth defects JE Evangelista, DJB Clarke, Z Xie, GB Marino, V Utti, SL Jenkins, ... Communications Medicine 3 (1), 98, 2023 | 2 | 2023 |
| Autophagy dark genes: Can we find them with machine learning? M Ranjbar, JJ Yang, P Kumar, DR Byrd, EL Bearer, TI Oprea Natural Sciences 3 (3), e20220067, 2023 | 1 | 2023 |
| PULSNAR: Positive Unlabeled Learning Selected Not At Random--towards imputing undocumented conditions in EHRs and estimating their incidence P Kumar, SE Davis, ME Matheny, G Villarreal, Y Zhu, M Tohen, ... 2022 OHDSI Symposium, 2022 | 1 | 2022 |
| Disparities in Coded and Imputed Post- Traumatic Stress Disorder and Self-Harm Among US Veterans LCG Davis SE, Kumar P, Lauve NR, Parr SK, Park D, Matheny ME, Villarreal G ... AMIA 2021 Annual Symposium, 2021 | 1* | 2021 |
| Improving the detection of behavioral health conditions through positive and unlabeled learning: opioid use disorder P Kumar, CG Lambert 2023 OHDSI Symposium, 2023 | | 2023 |
| Machine Learning Methods for Computational Phenotyping Using Patient Healthcare Data with Noisy Labels P Kumar University of New Mexico, 2023 | | 2023 |
| Improving the Detection of Behavioral Health Conditions Through Positive and Unlabeled Learning: Self-Harm and Opioid use Disorder P Kumar, JK Tsosie, CG Lambert UNM Brain & Behavioral Health, 2023 | | 2023 |
| Illuminating the Druggable Genome (IDG) scientific use cases powered by the CFDE Data Distillery biomedical knowledge graph, integrating multiple Common Fund datasets P Kumar, VT Metzger, ST Purushotham, P Kedia, CG Lambert, JJ Yang https://doi.org/10.5281/zenodo.10895777, 2023 | | 2023 |
| Positive Unlabeled Learning Selected Not At Random (PULSNAR): class proportion estimation when the SCAR assumption does not hold P Kumar, CG Lambert https://arxiv.org/abs/2303.08269, 2023 | | 2023 |
| A Comprehensive COVID-19 Daily News and Medical Literature Briefing to Inform Health Care and Policy in New Mexico: Implementation Study LM Jarratt, J Situ, RD King, E Montanez Ramos, H Groves, R Ormesher, ... JMIR medical education 8 (1), e23845, 2022 | | 2022 |
| Detecting PTSD and self-harm among US Veterans using positive unlabeled learning P Kumar, NR Lauve, SE Davis, SK Parr, D Park, ME Matheny, G Villarreal, ... 2021 OHDSI Symposium, 2021 | | 2021 |
| ProteinGraphML - predicting disease-to-protein associations from a biomedical knowledge graph P Kumar, JJ Yang, D Byrd, O Ursu, CG Bologa, SL Mathias, J Berendzen, ... 2021 FASEB Virtual Science Research Conference, 2021 | | 2021 |
| Comparing drug-dependent risk of self-harm in bipolar disorder using machine learning imputed outcomes A Nestsiarovich, P Kumar, NR Lauve, NG Hurwitz, AJ Mazurie, ... 2020 OHDSI Symposium, 2020 | | 2020 |
| Visit level machine learning imputation of uncoded self-harm in major mental illness and characterization of incidence of self-harm P Kumar, A Nestsiarovich, SJ Nelson, B Kerner, DJ Perkins, CG Lambert 2019 OHDSI Symposium, 2019 | | 2019 |
Christophe G. LambertProfessor of Medicine, University of New Mexico; Chairman, Golden HelixVerified email at unm.edu
