Impact of the Covid-19 pandemic on the performance of machine learning algorithms for predicting perioperative mortality

Autor: D. I. Andonov, B. Ulm, M. Graessner, A. Podtschaske, M. Blobner, B. Jungwirth, S. M. Kagerbauer

Publikováno v: BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-12 (2023)

Abstract Background Machine-learning models are susceptible to external influences which can result in performance deterioration. The aim of our study was to elucidate the impact of a sudden shift in covariates, like the one caused by the Covid-19 pa

Externí odkaz: https://doaj.org/article/fb2387e8a6214537ba62f0242e8801e8

Insights From a Large-Scale Whole-Genome Sequencing Study of Systolic Blood Pressure, Diastolic Blood Pressure, and Hypertension

Autor: Tanika N, Kelly, Xiao, Sun, Karen Y, He, Michael R, Brown, Sarah A Gagliano, Taliun, Jacklyn N, Hellwege, Marguerite R, Irvin, Xuenan, Mi, Jennifer A, Brody, Nora, Franceschini, Xiuqing, Guo, Shih-Jen, Hwang, Paul S, de Vries, Yan, Gao, Arden, Moscati, Girish N, Nadkarni, Lisa R, Yanek, Tali, Elfassy, Jennifer A, Smith, Ren-Hua, Chung, Amber L, Beitelshees, Amit, Patki, Stella, Aslibekyan, Brandon M, Blobner, Juan M, Peralta, Themistocles L, Assimes, Walter R, Palmas, Chunyu, Liu, Adam P, Bress, Zhijie, Huang, Lewis C, Becker, Chii-Min, Hwa, Jeffrey R, O'Connell, Jenna C, Carlson, Helen R, Warren, Sayantan, Das, Ayush, Giri, Lisa W, Martin, W, Craig Johnson, Ervin R, Fox, Erwin P, Bottinger, Alexander C, Razavi, Dhananjay, Vaidya, Lee-Ming, Chuang, Yen-Pei C, Chang, Take, Naseri, Deepti, Jain, Hyun Min, Kang, Adriana M, Hung, Vinodh, Srinivasasainagendra, Beverly M, Snively, Dongfeng, Gu, May E, Montasser, Muagututi'a Sefuiva, Reupena, Benjamin D, Heavner, Jonathon, LeFaive, James E, Hixson, Kenneth M, Rice, Fei Fei, Wang, Jonas B, Nielsen, Jianfeng, Huang, Alyna T, Khan, Wei, Zhou, Jovia L, Nierenberg, Cathy C, Laurie, Nicole D, Armstrong, Mengyao, Shi, Yang, Pan, Adrienne M, Stilp, Leslie, Emery, Quenna, Wong, Nicola L, Hawley, Ryan L, Minster, Joanne E, Curran, Patricia B, Munroe, Daniel E, Weeks, Kari E, North, Russell P, Tracy, Eimear E, Kenny, Daichi, Shimbo, Aravinda, Chakravarti, Stephen S, Rich, Alex P, Reiner, John, Blangero, Susan, Redline, Braxton D, Mitchell, Dabeeru C, Rao, Yii-Der, Ida Chen, Sharon L R, Kardia, Robert C, Kaplan, Rasika A, Mathias, Jiang, He, Bruce M, Psaty, Myriam, Fornage, Ruth J F, Loos, Adolfo, Correa, Eric, Boerwinkle, Jerome I, Rotter, Charles, Kooperberg, Todd L, Edwards, Gonçalo R, Abecasis, Xiaofeng, Zhu, Daniel, Levy, Donna K, Arnett, Alanna C, Morrison

Publikováno v: Hypertension (Dallas, Tex. : 1979). 79(8)

Background: The availability of whole-genome sequencing data in large studies has enabled the assessment of coding and noncoding variants across the allele frequency spectrum for their associations with blood pressure. Methods: We conducted a multian

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b4a5b85def78f6e4f389f8b8d7c678d
https://pubmed.ncbi.nlm.nih.gov/35652341

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Single-cell analyses of human pancreas: characteristics of two populations of acinar cells in chronic pancreatitis

Autor: Jami L. Saloman, Amer H. Zureikat, Rita Bottino, Mark A. Ross, Kenneth K. Lee, Martin Wijkstrom, Aatur D. Singhi, Brandon M. Blobner, Celeste A Shelton Ohlsen, Randall E. Brand, David C. Whitcomb, Donna B. Stolz, Robert Lafyatis

Publikováno v: Am J Physiol Gastrointest Liver Physiol

Chronic pancreatitis (CP) is a complex inflammatory disorder with numerous associated genetic and environmental risk factors. The most distressing characteristic of CP is recalcitrant pain, often requiring surgical resection including total pancreate

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54ac7136ebeafe9c77c25b233334c0b0
https://europepmc.org/articles/PMC8616588/