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Items: 20

1.

Predicting treatment dropout after antidepressant initiation.

Pradier MF, McCoy TH Jr, Hughes M, Perlis RH, Doshi-Velez F.

Transl Psychiatry. 2020 Feb 6;10(1):60. doi: 10.1038/s41398-020-0716-y.

2.

Big Data in the Assessment of Pediatric Medication Safety.

McMahon AW, Cooper WO, Brown JS, Carleton B, Doshi-Velez F, Kohane I, Goldman JL, Hoffman MA, Kamaleswaran R, Sakiyama M, Sekine S, Sturkenboom MCJM, Turner MA, Califf RM.

Pediatrics. 2020 Feb;145(2). pii: e20190562. doi: 10.1542/peds.2019-0562. Epub 2020 Jan 14.

PMID:
31937606
3.

Evaluating Machine Learning Articles.

Doshi-Velez F, Perlis RH.

JAMA. 2019 Nov 12;322(18):1777-1779. doi: 10.1001/jama.2019.17304. No abstract available.

PMID:
31714974
4.

Author Correction: Do no harm: a roadmap for responsible machine learning for health care.

Wiens J, Saria S, Sendak M, Ghassemi M, Liu VX, Doshi-Velez F, Jung K, Heller K, Kale D, Saeed M, Ossorio PN, Thadaney-Israni S, Goldenberg A.

Nat Med. 2019 Oct;25(10):1627. doi: 10.1038/s41591-019-0609-x.

PMID:
31537911
5.

Do no harm: a roadmap for responsible machine learning for health care.

Wiens J, Saria S, Sendak M, Ghassemi M, Liu VX, Doshi-Velez F, Jung K, Heller K, Kale D, Saeed M, Ossorio PN, Thadaney-Israni S, Goldenberg A.

Nat Med. 2019 Sep;25(9):1337-1340. doi: 10.1038/s41591-019-0548-6. Epub 2019 Aug 19. Review. Erratum in: Nat Med. 2019 Oct;25(10):1627.

PMID:
31427808
6.

Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning.

Peng X, Ding Y, Wihl D, Gottesman O, Komorowski M, Lehman LH, Ross A, Faisal A, Doshi-Velez F.

AMIA Annu Symp Proc. 2018 Dec 5;2018:887-896. eCollection 2018.

7.

Guidelines for reinforcement learning in healthcare.

Gottesman O, Johansson F, Komorowski M, Faisal A, Sontag D, Doshi-Velez F, Celi LA.

Nat Med. 2019 Jan;25(1):16-18. doi: 10.1038/s41591-018-0310-5. No abstract available.

8.

Improving counterfactual reasoning with kernelised dynamic mixing models.

Parbhoo S, Gottesman O, Ross AS, Komorowski M, Faisal A, Bon I, Roth V, Doshi-Velez F.

PLoS One. 2018 Nov 12;13(11):e0205839. doi: 10.1371/journal.pone.0205839. eCollection 2018.

9.

Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes.

Killian T, Daulton S, Konidaris G, Doshi-Velez F.

Adv Neural Inf Process Syst. 2017 Dec;30:6250-6261.

10.

PhenoLines: Phenotype Comparison Visualizations for Disease Subtyping via Topic Models.

Glueck M, Naeini MP, Doshi-Velez F, Chevalier F, Khan A, Wigdor D, Brudno M.

IEEE Trans Vis Comput Graph. 2018 Jan;24(1):371-381. doi: 10.1109/TVCG.2017.2745118. Epub 2017 Aug 29.

PMID:
28866570
11.

Combining Kernel and Model Based Learning for HIV Therapy Selection.

Parbhoo S, Bogojeska J, Zazzi M, Roth V, Doshi-Velez F.

AMIA Jt Summits Transl Sci Proc. 2017 Jul 26;2017:239-248. eCollection 2017.

12.

Predicting intervention onset in the ICU with switching state space models.

Ghassemi M, Wu M, Hughes MC, Szolovits P, Doshi-Velez F.

AMIA Jt Summits Transl Sci Proc. 2017 Jul 26;2017:82-91. eCollection 2017.

14.

Understanding vasopressor intervention and weaning: risk prediction in a public heterogeneous clinical time series database.

Wu M, Ghassemi M, Feng M, Celi LA, Szolovits P, Doshi-Velez F.

J Am Med Inform Assoc. 2017 May 1;24(3):488-495. doi: 10.1093/jamia/ocw138.

15.

Electronic Health Record Based Algorithm to Identify Patients with Autism Spectrum Disorder.

Lingren T, Chen P, Bochenek J, Doshi-Velez F, Manning-Courtney P, Bickel J, Wildenger Welchons L, Reinhold J, Bing N, Ni Y, Barbaresi W, Mentch F, Basford M, Denny J, Vazquez L, Perry C, Namjou B, Qiu H, Connolly J, Abrams D, Holm IA, Cobb BA, Lingren N, Solti I, Hakonarson H, Kohane IS, Harley J, Savova G.

PLoS One. 2016 Jul 29;11(7):e0159621. doi: 10.1371/journal.pone.0159621. eCollection 2016.

16.

Bayesian Nonparametric Methods for Partially-Observable Reinforcement Learning.

Doshi-Velez F, Pfau D, Wood F, Roy N.

IEEE Trans Pattern Anal Mach Intell. 2015 Feb;37(2):394-407. doi: 10.1109/TPAMI.2013.191.

PMID:
26353250
17.

Prevalence of Inflammatory Bowel Disease Among Patients with Autism Spectrum Disorders.

Doshi-Velez F, Avillach P, Palmer N, Bousvaros A, Ge Y, Fox K, Steinberg G, Spettell C, Juster I, Kohane I.

Inflamm Bowel Dis. 2015 Oct;21(10):2281-8. doi: 10.1097/MIB.0000000000000502.

PMID:
26218138
18.

Unfolding Physiological State: Mortality Modelling in Intensive Care Units.

Ghassemi M, Naumann T, Doshi-Velez F, Brimmer N, Joshi R, Rumshisky A, Szolovits P.

KDD. 2014 Aug 24;2014:75-84.

19.

Comorbidity clusters in autism spectrum disorders: an electronic health record time-series analysis.

Doshi-Velez F, Ge Y, Kohane I.

Pediatrics. 2014 Jan;133(1):e54-63. doi: 10.1542/peds.2013-0819. Epub 2013 Dec 9.

20.

Improving safety and operational efficiency in residential care settings with WiFi-based localization.

Doshi-Velez F, Li W, Battat Y, Charrow B, Curtis D, Park JG, Hemachandra S, Velez J, Walsh C, Fredette D, Reimer B, Roy N, Teller S.

J Am Med Dir Assoc. 2012 Jul;13(6):558-63. doi: 10.1016/j.jamda.2012.04.010. Erratum in: J Am Med Dir Assoc. 2012 Sep;13(7):663. Curthis, Dorothy [corrected to Curtis, Dorothy].

PMID:
22748720

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