未登录OpenMedLM: prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language modelsOpenMedLM:在使用开源大型语言模型进行医学问答任务时,提示工程的表现可优于微调
Maharjan, Jenish; Garikipati, Anurag; Singh, Navan Preet; Cyrus, Leo; Sharma, Mayank; Ciobanu, Madalina; Barnes, Gina; Thapa, Rahul; Mao, Qingqing; Das, Ritankar
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收藏Family-Centric Applied Behavior Analysis Facilitates Improved Treatment Utilization and Outcomes
Adelson, Robert P.; Ciobanu, Madalina; Garikipati, Anurag; Castell, Natalie J.; Singh, Navan Preet; Barnes, Gina; Rumph, Jodi Kim; Mao, Qingqing; Roane, Henry S.; Vaish, Anshu; Das, Ritankar
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收藏Machine Learning Differentiation of Autism Spectrum Sub-Classifications
Thapa, R.; Garikipati, A.; Ciobanu, M.; Singh, Np; Browning, E.; Decurzio, J.; Barnes, G.; Dinenno, F. A.; Mao, Q.; Das, R.
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收藏Predicting Falls in Long-term Care Facilities: Machine Learning Study
Thapa, Rahul; Garikipati, Anurag; Shokouhi, Sepideh; Hurtado, Myrna; Barnes, Gina; Hoffman, Jana; Calvert, Jacob; Katzmann, Lynne; Mao, Qingqing; Das, Ritankar
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收藏A comparative analysis of machine learning approaches to predict C. difficile infection in hospitalized patients
Panchavati, Saarang; Zelin, Nicole S.; Garikipati, Anurag; Pellegrini, Emily; Iqbal, Zohora; Barnes, Gina; Hoffman, Jana; Calvert, Jacob; Mao, Qingqing; Das, Ritankar
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