Следене
Michael Lingzhi Li
Michael Lingzhi Li
Assistant Professor, Harvard Business School
Потвърден имейл адрес: hbs.edu - Начална страница
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Позовавания
Позовавания
Година
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ...
Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022
268*2022
Ensemble forecasts of coronavirus disease 2019 (COVID-19) in the US
EL Ray, N Wattanachit, J Niemi, AH Kanji, K House, EY Cramer, J Bracher, ...
MedRXiv, 2020.08. 19.20177493, 2020
213*2020
Where to locate COVID‐19 mass vaccination facilities?
D Bertsimas, V Digalakis Jr, A Jacquillat, ML Li, A Previero
Naval Research Logistics (NRL) 69 (2), 179-200, 2022
130*2022
Forecasting COVID-19 and analyzing the effect of government interventions
ML Li, HT Bouardi, OS Lami, TA Trikalinos, N Trichakis, D Bertsimas
Operations Research, 2022
122*2022
From predictions to prescriptions: A data-driven response to COVID-19
D Bertsimas, L Boussioux, R Cory-Wright, A Delarue, V Digalakis, ...
Health care management science, 1-20, 2021
106*2021
The United States COVID-19 forecast hub dataset
EY Cramer, Y Huang, Y Wang, EL Ray, M Cornell, J Bracher, A Brennen, ...
Scientific data 9 (1), 462, 2022
882022
A pre-registered short-term forecasting study of COVID-19 in Germany and Poland during the second wave
J Bracher, D Wolffram, J Deuschel, K Görgen, JL Ketterer, A Ullrich, ...
Nature communications 12 (1), 5173, 2021
80*2021
Integrated multimodal artificial intelligence framework for healthcare applications
LR Soenksen, Y Ma, C Zeng, L Boussioux, K Villalobos Carballo, L Na, ...
NPJ digital medicine 5 (1), 149, 2022
772022
Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations
K Sherratt, H Gruson, H Johnson, R Niehus, B Prasse, F Sandmann, ...
Elife 12, e81916, 2023
472023
Experimental evaluation of individualized treatment rules
K Imai, ML Li
Journal of the American Statistical Association 118 (541), 242-256, 2023
382023
Scalable holistic linear regression
D Bertsimas, ML Li
Operations Research Letters 48 (3), 203-208, 2020
282020
Benchmarking Large Language Models on CMExam-A Comprehensive Chinese Medical Exam Dataset
J Liu, P Zhou, Y Hua, D Chong, Z Tian, A Liu, H Wang, C You, Z Guo, ...
Advances in Neural Information Processing Systems 36, 2024
272024
Pricing for heterogeneous products: Analytics for ticket reselling
M Alley, M Biggs, R Hariss, C Herrmann, ML Li, G Perakis
Manufacturing & Service Operations Management 25 (2), 409-426, 2023
212023
Selecting children with vesicoureteral reflux who are most likely to benefit from antibiotic prophylaxis: application of machine learning to RIVUR
D Bertsimas, M Li, C Estrada, C Nelson, HH Scott Wang
The Journal of Urology 205 (4), 1170-1179, 2021
182021
National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021
J Bracher, D Wolffram, J Deuschel, K Görgen, JL Ketterer, A Ullrich, ...
Communications Medicine 2 (1), 136, 2022
172022
Targeted workup after initial febrile urinary tract infection: using a novel machine learning model to identify children most likely to benefit from voiding cystourethrogram
Advanced Analytics Group of Pediatric Urology and ORC Personalized Medicine ...
The Journal of Urology 202 (1), 144-152, 2019
172019
Prescriptive analytics for reducing 30-day hospital readmissions after general surgery
D Bertsimas, ML Li, IC Paschalidis, T Wang
PloS one 15 (9), e0238118, 2020
142020
Statistical inference for heterogeneous treatment effects discovered by generic machine learning in randomized experiments
K Imai, ML Li
Journal of Business & Economic Statistics, 1-29, 2024
122024
Fast exact matrix completion: A unified optimization framework for matrix completion
D Bertsimas, ML Li
Journal of Machine Learning Research 21 (231), 1-43, 2020
12*2020
Slowly varying regression under sparsity
D Bertsimas, V Digalakis Jr, ML Li, OS Lami
Operations Research, 2024
102024
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Статии 1–20