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Development and Validation of Prediction Models and Risk Calculators for Posthepatectomy Liver Failure and Postoperative Complications Using a Diverse International Cohort of Major Hepatectomies.
Wang JJ, Feng J, Gomes C, Calthorpe L, Ashraf Ganjouei A, Romero-Hernandez F, Benedetti Cacciaguerra A, Hibi T, Adam MA, Alseidi A, Abu Hilal M, Rashidian N; International Post-Hepatectomy Liver Failure Study Group. Wang JJ, et al. Ann Surg. 2023 Dec 1;278(6):976-984. doi: 10.1097/SLA.0000000000005916. Epub 2023 May 25. Ann Surg. 2023. PMID: 37226846
After splitting the data into training and validation sets (70:30), models for PHLF and a CCI>40 were fit using logistic regression with a lasso penalty on the training cohort. The models were then evaluated on the validation data set. ...
After splitting the data into training and validation sets (70:30), models for PHLF and a CCI>40 were fit using logistic regression with …
A novel tube placement technique in EUS-guided drainage for small pancreatic pseudocyst: Spinning lasso method.
Nagai K, Itoi T, Mukai S, Tsuchiya T, Ishii K, Tonozuka R, Matsunami Y, Nakatsubo R, Joyama E, Sofuni A. Nagai K, et al. J Hepatobiliary Pancreat Sci. 2023 Apr;30(4):e20-e21. doi: 10.1002/jhbp.1233. Epub 2022 Sep 14. J Hepatobiliary Pancreat Sci. 2023. PMID: 36048175
This paper discusses a novel tube placement technique; the "spinning lasso method", in EUS-guided drainage for small pancreatic pseudocysts (PC) with video. ...
This paper discusses a novel tube placement technique; the "spinning lasso method", in EUS-guided drainage for small pancreatic pseud …
Predicting intraocular pressure using systemic variables or fundus photography with deep learning in a health examination cohort.
Ishii K, Asaoka R, Omoto T, Mitaki S, Fujino Y, Murata H, Onoda K, Nagai A, Yamaguchi S, Obana A, Tanito M. Ishii K, et al. Sci Rep. 2021 Feb 11;11(1):3687. doi: 10.1038/s41598-020-80839-4. Sci Rep. 2021. PMID: 33574359 Free PMC article.
The purpose of the current study was to predict intraocular pressure (IOP) using color fundus photography with a deep learning (DL) model, or, systemic variables with a multivariate linear regression model (MLM), along with least absolute shrinkage and selection operator regressi …
The purpose of the current study was to predict intraocular pressure (IOP) using color fundus photography with a deep learning (DL) model, o …