| Development and validation of a machine learning-based prediction model for near-term in-hospital mortality among patients with COVID-19 P Parchure, H Joshi, K Dharmarajan, R Freeman, DL Reich, M Mazumdar, ... BMJ supportive & palliative care 12 (e3), e424-e431, 2020 | 60 | 2020 |
| Fairness in Predicting Cancer Mortality Across racial subgroups T Ganta, A Kia, P Parchure, M Wang, M Besculides, M Mazumdar, ... JAMA Network Open 7 (7), e2421290-e2421290, 2024 | 4 | 2024 |
| Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system L Liou, E Scott, P Parchure, Y Ouyang, N Egorova, R Freeman, IS Hofer, ... NPJ Digital Medicine 7 (1), 149, 2024 | 4 | 2024 |
| Development and Validation of a Deep Learning Classifier Using Chest Radiographs to Predict Extubation Success in Patients Undergoing Invasive Mechanical Ventilation P Tandon, KAN Nguyen, M Edalati, P Parchure, G Raut, DL Reich, ... Bioengineering 11 (6), 626, 2024 | 1 | 2024 |
| Malnutrition risk assessment using a machine learning‐based screening tool: A multicentre retrospective cohort P Parchure, M Besculides, S Zhan, F Cheng, P Timsina, SN Cheertirala, ... Journal of Human Nutrition and Dietetics, 2024 | 1 | 2024 |
| Predicting Readiness to Liberate from Mechanical Ventilation Using Machine Learning: Development and Retrospective Validation P Tandon, FY Cheng, SN Cheetirala, P Parchure, M Levin, A Kia TP54. TP054 MECHANICAL VENTILATION, A2757-A2757, 2021 | 1 | 2021 |
| Identifying and Characterizing Bias at Scale in Clinical Notes Using Large Language Models DU Apakama, KAN Nguyen, D Hyppolite, S Soffer, A Mudrik, E Ling, ... medRxiv, 2024.10. 24.24316073, 2024 | | 2024 |
| Improving serious illness conversations in oncology: A machine learning approach that integrates natural language processing for mortality prediction. P Parchure, M Vargas, L Graham, M Wang, KO Gorbenko, M Mazumdar, ... JCO Oncology Practice 19 (11_suppl), 590-590, 2023 | | 2023 |
| Human-centered design to improve clinical decision support systems (CDSS) to engage in serious illness communication (SIC) with patients with cancer in a gastrointestinal … T Ganta, S Lehrman, I Durkovic, J Royer, B Tsembelis, M Liu, R Freeman, ... Journal of Clinical Oncology 40 (28_suppl), 433-433, 2022 | | 2022 |
| Acceptability of a machine learning-powered clinical decision support system aiding serious illness conversation and its impact on clinical outcomes: A pilot study. T Ganta, S Lehrman, R Pappalardo, I Durkovic, S Lichtman, B Tsembelis, ... Journal of Clinical Oncology 40 (16_suppl), 6562-6562, 2022 | | 2022 |
| Implementing clinical decision support for oncology advanced care planning: A systems engineering framework to optimize the usability and utility of a machine learning … T Ganta, S Lehrman, R Pappalardo, M Crow, M Will, M Liu, R Freeman, ... Journal of Clinical Oncology 39 (28_suppl), 330-330, 2021 | | 2021 |
| A Synoptic Juxtaposition Of The Prevalent Methodologies Imparting Hand Kinesics And The Contemplated Method Involving Scale, Rotation, Translation Invariant Feature Extraction Prathamesh Parchure, Kais Patavekar, Kaustubh Phophaliya, Amit Raut ... International Journal of Mechanical and Production Engineering (IJMPE) 1 (5 …, 2014 | | 2014 |
