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Cited by in F6Publishing
For: Onishchenko D, Huang Y, van Horne J, Smith PJ, Msall ME, Chattopadhyay I. Reduced false positives in autism screening via digital biomarkers inferred from deep comorbidity patterns. Sci Adv 2021;7:eabf0354. [PMID: 34613766 DOI: 10.1126/sciadv.abf0354] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
Number Citing Articles
1 Dawson G, Rieder AD, Johnson MH. Prediction of autism in infants: progress and challenges. Lancet Neurol 2023;22:244-54. [PMID: 36427512 DOI: 10.1016/S1474-4422(22)00407-0] [Reference Citation Analysis]
2 Engelhard MM, Henao R, Berchuck SI, Chen J, Eichner B, Herkert D, Kollins SH, Olson A, Perrin EM, Rogers U, Sullivan C, Zhu Y, Sapiro G, Dawson G. Predictive Value of Early Autism Detection Models Based on Electronic Health Record Data Collected Before Age 1 Year. JAMA Netw Open 2023;6:e2254303. [PMID: 36729455 DOI: 10.1001/jamanetworkopen.2022.54303] [Reference Citation Analysis]
3 Aylward BS, Abbas H, Taraman S, Salomon C, Gal-Szabo D, Kraft C, Ehwerhemuepha L, Chang A, Wall DP. An Introduction to Artificial Intelligence in Developmental and Behavioral Pediatrics. J Dev Behav Pediatr 2023;44:e126-34. [PMID: 36730317 DOI: 10.1097/DBP.0000000000001149] [Reference Citation Analysis]
4 Onishchenko D, Marlowe RJ, Ngufor CG, Faust LJ, Limper AH, Hunninghake GM, Martinez FJ, Chattopadhyay I. Screening for idiopathic pulmonary fibrosis using comorbidity signatures in electronic health records. Nat Med 2022. [PMID: 36175678 DOI: 10.1038/s41591-022-02010-y] [Reference Citation Analysis]
5 Onishchenko D, Rubin DS, van Horne JR, Ward RP, Chattopadhyay I. Cardiac Comorbidity Risk Score: Zero-Burden Machine Learning to Improve Prediction of Postoperative Major Adverse Cardiac Events in Hip and Knee Arthroplasty. J Am Heart Assoc 2022;:e023745. [PMID: 35904198 DOI: 10.1161/JAHA.121.023745] [Reference Citation Analysis]
6 Parziale A, Mascalzoni D. Digital Biomarkers in Psychiatric Research: Data Protection Qualifications in a Complex Ecosystem. Front Psychiatry 2022;13:873392. [PMID: 35757212 DOI: 10.3389/fpsyt.2022.873392] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Goshua A. Deep-learning model may accurately predict autism diagnosis. Spectrum 2021. [DOI: 10.53053/nalu6283] [Reference Citation Analysis]
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