| Correlation of population SARS-CoV-2 cycle threshold values to local disease dynamics: exploratory observational study CF Tso, A Garikipati, A Green-Saxena, Q Mao, R Das JMIR public health and surveillance 7 (6), e28265, 2021 | 27 | 2021 |
| Early prediction of severe acute pancreatitis using machine learning R Thapa, Z Iqbal, A Garikipati, A Siefkas, J Hoffman, Q Mao, R Das Pancreatology 22 (1), 43-50, 2022 | 26 | 2022 |
| Early prediction of central line associated bloodstream infection using machine learning K Rahmani, A Garikipati, G Barnes, J Hoffman, J Calvert, Q Mao, R Das American Journal of Infection Control 50 (4), 440-445, 2022 | 23 | 2022 |
| Prediction of short-term mortality in acute heart failure patients using minimal electronic health record data A Radhachandran, A Garikipati, NS Zelin, E Pellegrini, S Ghandian, ... BioData mining 14, 1-15, 2021 | 18 | 2021 |
| Predicting falls in long-term care facilities: machine learning study R Thapa, A Garikipati, S Shokouhi, M Hurtado, G Barnes, J Hoffman, ... JMIR aging 5 (2), e35373, 2022 | 15 | 2022 |
| A machine learning approach to predicting risk of myelodysplastic syndrome A Radhachandran, A Garikipati, Z Iqbal, A Siefkas, G Barnes, J Hoffman, ... Leukemia Research 109, 106639, 2021 | 12 | 2021 |
| Retrospective validation of a machine learning clinical decision support tool for myocardial infarction risk stratification S Panchavati, C Lam, NS Zelin, E Pellegrini, G Barnes, J Hoffman, ... Healthcare technology letters 8 (6), 139-147, 2021 | 11 | 2021 |
| Machine learning determination of applied behavioral analysis treatment plan type J Maharjan, A Garikipati, FA Dinenno, M Ciobanu, G Barnes, E Browning, ... Brain Informatics 10 (1), 7, 2023 | 10 | 2023 |
| A comparative analysis of machine learning approaches to predict C. difficile infection in hospitalized patients S Panchavati, NS Zelin, A Garikipati, E Pellegrini, Z Iqbal, G Barnes, ... American Journal of Infection Control 50 (3), 250-257, 2022 | 10 | 2022 |
| Machine learning to predict progression of non‐alcoholic fatty liver to non‐alcoholic steatohepatitis or fibrosis S Ghandian, R Thapa, A Garikipati, G Barnes, A Green‐Saxena, J Calvert, ... JGH Open 6 (3), 196-204, 2022 | 8 | 2022 |
| Clinical outcomes of a hybrid model approach to applied behavioral analysis treatment A Garikipati, M Ciobanu, NP Singh, G Barnes, J Decurzio, Q Mao, R Das Cureus 15 (3), 2023 | 4 | 2023 |
| Early prediction of prostate cancer risk in younger men using polygenic risk scores and electronic health records A Varma, J Maharjan, A Garikipati, M Hurtado, S Shokouhi, Q Mao Cancer Medicine 12 (1), 379-386, 2023 | 3 | 2023 |
| Machine Learning Approach for Improved Longitudinal Prediction of Progression from Mild Cognitive Impairment to Alzheimer’s Disease RP Adelson, A Garikipati, J Maharjan, M Ciobanu, G Barnes, NP Singh, ... Diagnostics 14 (1), 13, 2023 | 2 | 2023 |
| Machine Learning Differentiation of Autism Spectrum Sub-Classifications R Thapa, A Garikipati, M Ciobanu, NP Singh, E Browning, J DeCurzio, ... Journal of Autism and Developmental Disorders, 1-16, 2023 | 2 | 2023 |
| A Gradient-Boosted Decision-Tree Algorithm for the Prediction of Short-Term Mortality in Acute Heart Failure Patients A Radhachandran, A Garikipati, N Zelin, E Pellegrini, S Ghandian, ... Cardiovascular Revascularization Medicine 28, S19, 2021 | 2 | 2021 |
| OpenMedLM: Prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models A Garikipati, J Maharjan, NP Singh, L Cyrus, M Sharma, M Ciobanu, ... AAAI 2024 Spring Symposium on Clinical Foundation Models, 2024 | 1 | 2024 |
| Sa102 A machine learning algorithm to predict gastrointestinal bleeding requiring intervention A Allen, Y Ektefaie, A Garikipati, C Lam, A Green-Saxena, A Siefkas, ... Gastroenterology 160 (6), S-422, 2021 | 1 | 2021 |
| Parent-Led Applied Behavior Analysis to Impact Clinical Outcomes for Individuals on the Autism Spectrum: A Retrospective Chart Review A Garikipati, M Ciobanu, NP Singh, G Barnes, FA Dinenno, J Geisel, ... Available at SSRN 4683898, 0 | 1 | |
| Family-Centric Applied Behavior Analysis Facilitates Improved Treatment Utilization and Outcomes RP Adelson, M Ciobanu, A Garikipati, NJ Castell, NP Singh, G Barnes, ... Journal of Clinical Medicine 13 (8), 2409, 2024 | | 2024 |
| Artificial intelligence method for determining therapy recomendation for individuals with neurodevelopmental disorders J Maharjan, A Garikipati, M Ciobanu, F Dinenno, MAO Qingqing US Patent App. 17/955,616, 2024 | | 2024 |
