Citation:
Saghafian, S. Working Paper. “Ambiguous Dynamic Treatment Regimes: A Reinforcement Learning Approach”. Copy at https://tinyurl.com/y955hbvo
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Soroush Saghafian on Twitter
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Thanks @cclareMDMPH. Was a pleasure teaching you and others in the group. Fantastic discussion. t.co/P1VbFbUpNQ
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See our latest work @PIASLab featured by @SSRN👇👇👇 @HarvardBizGov @harvard_data @MayoClinic @decisionscience @Kennedy_School t.co/kDQyGpvUdC
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CC: @harvard_data @HarvardBizGov @decisionscience @INFORMS
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t.co/jBFTIwQIYO
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My blog post: The Analytics Science Behind #ChatGPT: Human, Algorithm, or a Human-Algorithm Centaur? t.co/hwTe09u3Nv
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t.co/c0D5mD1WkI
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Can an #algorithm help us understand the #opioid #epidemic? Can it help @CDCgov revise its #guidelines? Ours trained on over 3m patients shows promising results vs. human experts. Paper: t.co/oYgpfgvGTD @HarvardBizGov @decisionscience @harvard_data @Kennedy_School t.co/F1yrgb6Zib
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What did #COVID19 #lockdown policies do to the U.S economy and its population health? See our findings 👇👇👇 t.co/Cgg04Sc8Na
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Algorithm, Human, or a Human-Algorithm "Centaur"? Which one can enhance clinical decision-making? See our latest work at the @PIASLab lead by @AgniOrfanoudaki in collaboration w/ @MayoClinic. Full Paper: t.co/gWovtq82v8 @decisionscience @harvard_data @HarvardBizGov t.co/tHEEoOnqjH
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Congratulations @JacobCJameson! Well-deserved! t.co/qMTeLNRYso
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We need to deliver care wherever the patient is, not just in homes. For this, we need to resolve scientific and regulatory challenges facing mHealth technologies. See our discussion @theNAMedicine here t.co/ZrKtjP5RCz and also in this podcast t.co/edQU1dGmBb t.co/czpOFDAFfh
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How do #physicians change their behavior after being vertically integrated? And what should #policymakers do? 👇👇👇See what we find from analyzing over 2.6 million patient visits.👇👇👇 t.co/OZbe4vytJN
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Great to see that AHA is paying more attention. Hopefully they can base their recommendations more on the scientific studies, and not just on raw statistics. t.co/fuM4DZos2l
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@DrLKVaughan @codingbrown @ph_wilson1 @Prabath13 @doctorcaldwell @pdbyrne @j59dd @cruncherwax @ReneeYHsia And more policy discussions in this episode of Harvard PolicyCast: t.co/amyuW4vl1q
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@DrLKVaughan @codingbrown @ph_wilson1 @Prabath13 @doctorcaldwell @pdbyrne @j59dd @cruncherwax @ReneeYHsia Great summary of research on hospital closures. More on findings and what policymakers can do here: t.co/CbhoMQOoFz
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Interested in #CausalInference, #ReinforcementLearning, & #Sequential #DecisionMaking using #ObservationalData? Join me this Thursday for my talk at @MIT @ORCenter: "Ambiguous Dynamic Treatment Regimes: A Reinforcement Learning Approach." Info: t.co/6cozLD7ELM t.co/HWS6NkBRft
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My lab’s presentations at @INFORMS2022 are listed below. Join us if you are interested! #INFORMS2022 t.co/lBxHJ298jQ
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How can we address #societal problems using #Queueing Theory? My new #blog post: The #Public #Impact of Queueing Theory: From Queen Elizabeth to Internet to Emergency Rooms. Blog post: t.co/lDyHgkqN3t t.co/glwaOznyTT
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Great discussing the role of #dataanalysis and some of the recent issues in #healthcare with @amitabhchandra2 in this #podcast. t.co/cugZdggVZb
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Very proud of the work our @PIASLab members do in collaboration with various organizations to use #Analytics #Science for public impact! Thank you @HKS_BizGov @Harvard_Data @DecisionScience @BelferCenter t.co/ADvJtb5lva t.co/3qF7g6kiQE
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👇👇👇👇👇👇 t.co/dzwT7gKQJI
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Welcome to @PIASLab @Mohammad_Zhale and @JacobCJameson. You are both great additions! t.co/wFATf2saVZ
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Thanks for brining attention to our work, @DrLKVaughan. Here is another relevant paper we recently published: t.co/tPMwjkiAP0 t.co/TvYdeDLtPl
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Enjoyed my workshop for this motivated group! Fantastic questions and conversations! t.co/M1deUAAIAR
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With this logic by @DLeonhardt, we should also remove stop signs b/c in many places people do not fully follow them. Also, the “Evidence” section of the article does not fully match what research shows. Our own models showed that mandates saved QALYs. t.co/VagrcT8mbW
