| 1 |
Childhood Acute Illness and Nutrition (CHAIN) Network. Characterising paediatric mortality during and after acute illness in Sub-Saharan Africa and South Asia: a secondary analysis of the CHAIN cohort using a machine learning approach. EClinicalMedicine 2023;57:101838. [PMID: 36825237 DOI: 10.1016/j.eclinm.2023.101838] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
|
| 2 |
Ziyatdinov A, Hobbs BD, Kanaan-Izquierdo S, Moll M, Sakornsakolpat P, Shrine N, Chen J, Song K, Bowler RP, Castaldi PJ, Tobin MD, Kraft P, Silverman EK, Julienne H, Aschard H, Cho MH. Identifying COPD subtypes using multi-trait genetics. medRxiv 2023:2023. [PMID: 36865145 DOI: 10.1101/2023.02.20.23286186] [Reference Citation Analysis]
|
| 3 |
Buschur KL, Riley C, Saferali A, Castaldi P, Zhang G, Aguet F, Ardlie KG, Durda P, Craig Johnson W, Kasela S, Liu Y, Manichaikul A, Rich SS, Rotter JI, Smith J, Taylor KD, Tracy RP, Lappalainen T, Graham Barr R, Sciurba F, Hersh CP, Benos PV. Distinct COPD subtypes in former smokers revealed by gene network perturbation analysis. Respir Res 2023;24:30. [PMID: 36698131 DOI: 10.1186/s12931-023-02316-6] [Reference Citation Analysis]
|
| 4 |
Yuan NF, Hasenstab K, Retson T, Conrad DJ, Lynch DA, Hsiao A. Unsupervised Learning Identifies Computed Tomographic Measurements as Primary Drivers of Progression, Exacerbation, and Mortality in Chronic Obstructive Pulmonary Disease. Ann Am Thorac Soc 2022;19:1993-2002. [PMID: 35830591 DOI: 10.1513/AnnalsATS.202110-1127OC] [Reference Citation Analysis]
|
| 5 |
Kume H, Yamada R, Sato Y. New Perspectives in Pharmacological Therapy for COPD: Phenotype Classification and Corticosteroids with Bronchodilators. Chronic Obstructive Pulmonary Disease - A Compendium of Medicine and the Humanities [Working Title] 2022. [DOI: 10.5772/intechopen.106949] [Reference Citation Analysis]
|
| 6 |
Suryadevara R, Gregory A, Lu R, Xu Z, Masoomi A, Lutz SM, Berman S, Yun JH, Saferali A, Hersh CP, Silverman EK, Dy J, Pratte K, Bowler RP, Castaldi PJ, Boueiz A. Blood-Based Transcriptomic and Proteomic Biomarkers of Emphysema.. [DOI: 10.1101/2022.10.25.22281458] [Reference Citation Analysis]
|
| 7 |
Zhang X, Li F, Rajaraman PK, Choi J, Comellas AP, Hoffman EA, Smith BM, Lin CL. A Computed Tomography Imaging-based Subject-Specific Whole-Lung Deposition Model. Eur J Pharm Sci 2022;:106272. [PMID: 35908637 DOI: 10.1016/j.ejps.2022.106272] [Reference Citation Analysis]
|
| 8 |
Martín-Rodríguez F, López-Izquierdo R, Sanz-García A, Del Pozo Vegas C, Ángel Castro Villamor M, Mayo-Iscar A, Martín-Conty JL, Ortega GJ. Novel Prehospital Phenotypes and Outcomes in Adult-Patients with Acute Disease. J Med Syst 2022;46:45. [PMID: 35596887 DOI: 10.1007/s10916-022-01825-z] [Reference Citation Analysis]
|
| 9 |
Choudhury S, Chohan A, Dadhwal R, Vakil AP, Franco R, Taweesedt PT. Applications of artificial intelligence in common pulmonary diseases. Artif Intell Med Imaging 2022; 3(1): 1-7 [DOI: 10.35711/aimi.v3.i1.1] [Reference Citation Analysis]
|
| 10 |
Boffetta P, Collatuzzo G. Application of P4 (Predictive, Preventive, Personalized, Participatory) Approach to Occupational Medicine. Med Lav 2022;113:e2022009. [PMID: 35226650 DOI: 10.23749/mdl.v113i1.12622] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
|
| 11 |
Roche N, Devillier P, Berger P, Bourdin A, Dusser D, Muir JF, Martinat Y, Terrioux P, Housset B. Individual trajectory-based care for COPD: getting closer, but not there yet. ERJ Open Res 2021;7:00451-2021. [PMID: 34912881 DOI: 10.1183/23120541.00451-2021] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
|
| 12 |
Zinchenko VV, Khoruzhaya AN, Sharova DE, Akhmad ES, Mokienko OA, Vladzymyrskyy AV, Morozov SP. Standardization in regulating artificial intelligence systems in Russian healthcare. Kazan Med J 2021;102:923-933. [DOI: 10.17816/kmj2021-923] [Reference Citation Analysis]
|
| 13 |
He D, Sun Y, Gao M, Wu Q, Cheng Z, Li J, Zhou Y, Ying K, Zhu Y. Different Risks of Mortality and Longitudinal Transition Trajectories in New Potential Subtypes of the Preserved Ratio Impaired Spirometry: Evidence From the English Longitudinal Study of Aging. Front Med (Lausanne) 2021;8:755855. [PMID: 34859011 DOI: 10.3389/fmed.2021.755855] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
|
| 14 |
Zhang YH, Hoopmann MR, Castaldi PJ, Simonsen KA, Midha MK, Cho MH, Criner GJ, Bueno R, Liu J, Moritz RL, Silverman EK. Lung proteomic biomarkers associated with chronic obstructive pulmonary disease. Am J Physiol Lung Cell Mol Physiol 2021;321:L1119-30. [PMID: 34668408 DOI: 10.1152/ajplung.00198.2021] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
|
| 15 |
Bloomfield P, Clutton-brock P, Pencheon E, Magnusson J, Karpathakis K. Artificial Intelligence in the NHS: Climate and Emissions✰,✰✰. The Journal of Climate Change and Health 2021;4:100056. [DOI: 10.1016/j.joclim.2021.100056] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
|
| 16 |
Hu Y, Cheng X, Qiu Z, Chen X. Identification of Metabolism-Associated Molecular Subtypes of Chronic Obstructive Pulmonary Disease. Int J Chron Obstruct Pulmon Dis 2021;16:2351-62. [PMID: 34429593 DOI: 10.2147/COPD.S316304] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
|
| 17 |
Exarchos KP, Kostikas K. Artificial intelligence in COPD: Possible applications and future prospects. Respirology 2021;26:641-2. [PMID: 33851496 DOI: 10.1111/resp.14061] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
|
| 18 |
Gefter WB, Lee KS, Schiebler ML, Parraga G, Seo JB, Ohno Y, Hatabu H. Pulmonary Functional Imaging: Part 2-State-of-the-Art Clinical Applications and Opportunities for Improved Patient Care. Radiology 2021;299:524-38. [PMID: 33847518 DOI: 10.1148/radiol.2021204033] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 4.0] [Reference Citation Analysis]
|
| 19 |
Zhang Y, Hoopmann MR, Castaldi PJ, Simonsen KA, Midha MK, Cho MH, Criner GJ, Bueno R, Liu J, Moritz RL, Silverman EK. Lung proteomic biomarkers associated with chronic obstructive pulmonary disease.. [DOI: 10.1101/2021.04.07.21255030] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
|
| 20 |
Whitfield E, Coffey C, Zhang H, Shi T, Wu X, Li Q, Wu H. Axes of Prognosis: Identifying Subtypes of COVID-19 Outcomes.. [DOI: 10.1101/2021.03.16.21253371] [Reference Citation Analysis]
|
| 21 |
Feng Y, Wang Y, Zeng C, Mao H. Artificial Intelligence and Machine Learning in Chronic Airway Diseases: Focus on Asthma and Chronic Obstructive Pulmonary Disease. Int J Med Sci 2021;18:2871-89. [PMID: 34220314 DOI: 10.7150/ijms.58191] [Cited by in Crossref: 17] [Cited by in F6Publishing: 16] [Article Influence: 8.5] [Reference Citation Analysis]
|
| 22 |
Whitfield E, Coffey C, Zhang H, Shi T, Wu X, Li Q, Wu H. Axes of Prognosis: Identifying Subtypes of COVID-19 Outcomes. AMIA Annu Symp Proc 2021;2021:1198-207. [PMID: 35308999] [Reference Citation Analysis]
|
| 23 |
Battineni G. Machine Learning and Deep Learning Algorithms in the Diagnosis of Chronic Diseases. Machine Learning Approaches for Urban Computing 2021. [DOI: 10.1007/978-981-16-0935-0_7] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
|
| 24 |
Uzeloto JS, de Toledo-Arruda AC, Silva BSA, Golim MA, Braz AMM, de Lima FF, Grigoletto I, Ramos EMC. Systemic Cytokine Profiles of CD4+ T Lymphocytes Correlate with Clinical Features and Functional Status in Stable COPD. Int J Chron Obstruct Pulmon Dis 2020;15:2931-40. [PMID: 33223825 DOI: 10.2147/COPD.S268955] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 0.7] [Reference Citation Analysis]
|
| 25 |
Ioachimescu OC, Stoller JK, Garcia-Rio F. Area under the expiratory flow-volume curve: predicted values by artificial neural networks. Sci Rep 2020;10:16624. [PMID: 33024243 DOI: 10.1038/s41598-020-73925-0] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
|
| 26 |
Zhang WZ. The Origins of Chronic Obstructive Pulmonary Disease: Sometimes the Journey Matters More than the Destination. Am J Respir Crit Care Med 2020;202:159-61. [PMID: 32391710 DOI: 10.1164/rccm.202004-0959ED] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
|
| 27 |
Kearns N, Kearns C, Beasley R. From Osler to personalized medicine in obstructive airways disease. Respirology 2020;25:781-3. [PMID: 32237006 DOI: 10.1111/resp.13810] [Reference Citation Analysis]
|
