A deep learning–based decision support tool for precision risk assessment of breast cancer T He, M Puppala, CF Ezeana, Y Huang, P Chou, X Yu, S Chen, L Wang, ... JCO clinical cancer informatics 3, 1-12, 2019 | 41 | 2019 |
Preventing inpatient falls with injuries using integrative machine learning prediction: a cohort study L Wang, Z Xue, CF Ezeana, M Puppala, S Chen, RL Danforth, X Yu, T He, ... NPJ digital medicine 2 (1), 127, 2019 | 27 | 2019 |
A computational method for clinically relevant cancer stratification and driver mutation module discovery using personal genomics profiles L Wang, F Li, J Sheng, STC Wong BMC genomics 16, 1-8, 2015 | 19 | 2015 |
A time-series feature-based recursive classification model to optimize treatment strategies for improving outcomes and resource allocations of COVID-19 patients L Wang, Z Yin, M Puppala, CF Ezeana, KK Wong, T He, DB Gotur, ... IEEE journal of biomedical and health informatics 26 (7), 3323-3329, 2021 | 16 | 2021 |
Primary cutaneous anaplastic large‐cell lymphoma: a review of the SEER database from 2005 to 2016 H Sarfraz, C Gentille, J Ensor, L Wang, S Wong, MS Ketcham, J Joshi, ... Clinical and Experimental Dermatology 46 (8), 1420-1426, 2021 | 14 | 2021 |
OCIAD1 contributes to neurodegeneration in Alzheimer's disease by inducing mitochondria dysfunction, neuronal vulnerability and synaptic damages X Li, L Wang, M Cykowski, T He, T Liu, J Chakranarayan, A Rivera, ... EBioMedicine 51, 2020 | 11 | 2020 |
DrugMoaMiner: a computational tool for mechanism of action discovery and personalized drug sensitivity prediction F Li, L Wang, R Kong, J Sheng, H Cao, J Mancuso, X Xia, C Stephan, ... 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics …, 2016 | 5 | 2016 |
A kurtosis and skewness based criterion for model selection on Gaussian mixture L Wang, J Ma 2009 2nd International Conference on Biomedical Engineering and Informatics, 1-5, 2009 | 5 | 2009 |
Risk factors for and frequency of CT scans, steroid use, and repeat visits in inflammatory bowel disease patients seen at a single-center emergency department: a retrospective … L Euers, S Abughazaleh, K Glassner, P Gajula, M Jones-Pauley, ... Journal of Clinical Medicine 10 (12), 2679, 2021 | 4 | 2021 |
S0707 The Use of Combination Vedolizumab and Ustekinumab in Crohn's Disease: A Retrospective Cohort Study K Glassner, L Wang, C Ezeana, S Wong, BP Abraham Official journal of the American College of Gastroenterology| ACG 115, S355, 2020 | 4 | 2020 |
EFFICIENT TRAINING OF RBF NETWORKS VIA THE KURTOSIS AND SKEWNESS MINIMIZATION LEARNING ALGORITHM. LIN WANG, J MA Journal of Theoretical & Applied Information Technology 48 (1), 496-504, 2013 | 4 | 2013 |
A comparative efficacy study of diagnostic digital breast tomosynthesis and digital mammography in BI-RADS 4 breast cancer diagnosis CF Ezeana, M Puppala, L Wang, JC Chang, STC Wong European journal of radiology 153, 110361, 2022 | 3 | 2022 |
Risk factors and machine learning model for predicting hospitalization outcomes in geriatric patients with dementia X Wang, CF Ezeana, L Wang, M Puppala, YS Huang, Y He, X Yu, Z Yin, ... Alzheimer's & Dementia: Translational Research & Clinical Interventions 8 (1 …, 2022 | 3 | 2022 |
CD4+ T cell immunity is dependent on an intrinsic stem-like program D Zou, Z Yin, SG Yi, G Wang, Y Guo, X Xiao, S Li, X Zhang, NM Gonzalez, ... Nature Immunology 25 (1), 66-76, 2024 | 2 | 2024 |
An AI-driven clinical care pathway to reduce 30-day readmission for chronic obstructive pulmonary disease (COPD) patients L Wang, G Li, CF Ezeana, R Ogunti, M Puppala, T He, X Yu, SSY Wong, ... Scientific reports 12 (1), 20633, 2022 | 2 | 2022 |
A deep learning decision support tool to improve risk stratification and reduce unnecessary biopsies in BI-RADS 4 mammograms CF Ezeana, T He, TA Patel, V Kaklamani, M Elmi, E Brigmon, PM Otto, ... Radiology: Artificial Intelligence 5 (6), e220259, 2023 | 1 | 2023 |
Sa1860–risk factors for repeated visits to the emergency department in patients with inflammatory bowel disease K Glassner, P Gajula, L Euers, M Jones-Pauley, C Ezeana, M Puppala, ... Gastroenterology 156 (6), S-431, 2019 | 1 | 2019 |
Abstract PO2-28-06: An on-line deep learning decision support tool, iBRISK, aimed at improving breast cancer risk estimation and reducing unnecessary biopsies for BI-RADS 4 … C Ezeana, X Yu, Z Wan, T He, T Patel, V Kaklamani, M Elmi, E Brigmon, ... Cancer Research 84 (9_Supplement), PO2-28-06-PO2-28-06, 2024 | | 2024 |
Charting Single Cell Lineage Dynamics and Mutation Networks via Homing CRISPR L Wang, W Dong, Z Yin, J Sheng, CF Ezeana, L Yang, X Yu, SSY Wong, ... bioRxiv, 2024 | | 2024 |
Hydroxytyrosol, a component of olive oil for breast cancer prevention in women at high risk of cancer A Puri, Z Yin, S Granados-Principal, J Ensor, L Guzman, R Rosato, ... | | 2023 |