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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. Lingren T, et al. PLoS One. 2016 Jul 29;11(7):e0159621. doi: 10.1371/journal.pone.0159621. eCollection 2016. PLoS One. 2016. PMID: 27472449 Free PMC article.
Our objective was to develop, evaluate, and validate an automated algorithm for determining an Autism Spectrum Disorder (ASD) patient cohort from EHR. ...A validation at Children's Hospital of Philadelphia yielded 0.848 (PPV). Clustering …
Our objective was to develop, evaluate, and validate an automated algorithm for determining an Autism Spectrum Disor …
Human genome meeting 2016 : Houston, TX, USA. 28 February - 2 March 2016.
Srivastava AK, Wang Y, Huang R, Skinner C, Thompson T, Pollard L, Wood T, Luo F, Stevenson R, Polimanti R, Gelernter J, Lin X, Lim IY, Wu Y, Teh AL, Chen L, Aris IM, Soh SE, Tint MT, MacIsaac JL, Yap F, Kwek K, Saw SM, Kobor MS, Meaney MJ, Godfrey KM, Chong YS, Holbrook JD, Lee YS, Gluckman PD, Karnani N; GUSTO study group; Kapoor A, Lee D, Chakravarti A, Maercker C, Graf F, Boutros M, Stamoulis G, Santoni F, Makrythanasis P, Letourneau A, Guipponi M, Panousis N, Garieri M, Ribaux P, Falconnet E, Borel C, Antonarakis SE, Kumar S, Curran J, Blangero J, Chatterjee S, Kapoor A, Akiyama J, Auer D, Berrios C, Pennacchio L, Chakravarti A, Donti TR, Cappuccio G, Miller M, Atwal P, Kennedy A, Cardon A, Bacino C, Emrick L, Hertecant J, Baumer F, Porter B, Bainbridge M, Bonnen P, Graham B, Sutton R, Sun Q, Elsea S, Hu Z, Wang P, Zhu Y, Zhao J, Xiong M, Bennett DA, Hidalgo-Miranda A, Romero-Cordoba S, Rodriguez-Cuevas S, Rebollar-Vega R, Tagliabue E, Iorio M, D’Ippolito E, Baroni S, Kaczkowski B, Tanaka Y, Kawaji H, Sandelin A, Andersson R, Itoh M, Lassmann T; The FANTOM5 Consortium; Hayashizaki Y, Carninci P, Forrest ARR, Semple CA, Rosenthal EA, Shirts B, Amendola L, Gallego C, Horike-Pyne… See abstract for full author list ➔ Srivastava AK, et al. Hum Genomics. 2016 May 26;10 Suppl 1(Suppl 1):12. doi: 10.1186/s40246-016-0063-5. Hum Genomics. 2016. PMID: 27294413 Free PMC article.
O1 The metabolomics approach to autism: identification of biomarkers for early detection of autism spectrum disorder A. ...Ghosh, S. Plon O37 Identification and electronic health record incorporation of clinically actionable …
O1 The metabolomics approach to autism: identification of biomarkers for early detection of autism spectrum disorder …
Identifying Children and Youth With Autism Spectrum Disorder in Electronic Medical Records: Examining Health System Utilization and Comorbidities.
Brooks JD, Bronskill SE, Fu L, Saxena FE, Arneja J, Pinzaru VB, Anagnostou E, Nylen K, McLaughlin J, Tu K. Brooks JD, et al. Autism Res. 2021 Feb;14(2):400-410. doi: 10.1002/aur.2419. Epub 2020 Oct 24. Autism Res. 2021. PMID: 33098262 Free PMC article.
Autism spectrum disorder (ASD) is a neurodevelopmental disorder requiring significant health and educational resources for affected individuals. ...We developed and validated an algorithm to identify children and youth with ASD wit …
Autism spectrum disorder (ASD) is a neurodevelopmental disorder requiring significant health and educatio …
A practical approach to identifying autistic adults within the electronic health record.
Malow BA, Veatch OJ, Niu X, Fitzpatrick KA, Hucks D, Maxwell-Horn A, Davis LK. Malow BA, et al. Autism Res. 2023 Jan;16(1):52-65. doi: 10.1002/aur.2849. Epub 2022 Nov 15. Autism Res. 2023. PMID: 36377765
The electronic health record (EHR) provides valuable data for understanding physical and mental health conditions in autism. We developed an approach to identify charts of autistic young adults, retrieved from our institution's de- …
The electronic health record (EHR) provides valuable data for understanding physical and mental health condition …
Advancing artificial intelligence-assisted pre-screening for fragile X syndrome.
Movaghar A, Page D, Brilliant M, Mailick M. Movaghar A, et al. BMC Med Inform Decis Mak. 2022 Jun 10;22(1):152. doi: 10.1186/s12911-022-01896-5. BMC Med Inform Decis Mak. 2022. PMID: 35689224 Free PMC article.
The medical complexity of FXS underscores an urgent need to develop more efficient and effective screening methods to identify individuals with FXS. In this study, we evaluate the effectiveness of using artificial intelligence (AI) and electronic health re …
The medical complexity of FXS underscores an urgent need to develop more efficient and effective screening methods to identify indivi …