Results 191 to 200 of about 23,172,199 (238)

Prognostic Significance and Clinical Robustness of the HALP Score in Super‐Elderly Patients Undergoing Curative Gastrectomy for Gastric Cancer: A Multicenter Retrospective Cohort Study

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
In this multicenter study of 507 patients aged ≥ 80 years who underwent curative gastrectomy for gastric cancer, a low preoperative HALP score was independently associated with poor overall survival. This association remained consistent across multiple complementary analyses, and low HALP was also associated with both cancer‐specific and other‐cause ...
Hiroyuki Inoue   +16 more
wiley   +1 more source

Local Recurrence and Oncological Outcomes After Transanal Total Mesorectal Excision With Intersphincteric Resection for Lower Rectal Cancer: A Nationwide Multicenter Cohort Study (Ta‐Ta‐Mi Study)

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
The 3‐year local recurrence (LR), recurrence‐free survival, and overall survival rates were 7.3%, 79.5%, and 98.1%, respectively. Multivariable analysis identified circumferential resection margin (CRM)/radial margin (RM) positivity as an independent risk factor for LR.
Kan Tanabe   +12 more
wiley   +1 more source

Machine learning–driven design of catalytic processes for sulfur dioxide oxidation: Lessons from the trenches

open access: yesAIChE Journal, EarlyView.
Abstract Despite the growing use of ML in chemical engineering, the catalytic conversion of sulfur dioxide (SO2) to sulfur trioxide (SO3) remains underexplored from a data‐driven modeling perspective. This study evaluates an integrated workflow for literature‐derived SO2 oxidation data, combining data curation, preprocessing assessment, machine ...
Farough Agin   +2 more
wiley   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

open access: yesAdvanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

A Critical Assessment of Bonding Descriptors for Predicting Materials Properties

open access: yesAdvanced Intelligent Discovery, EarlyView.
The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik   +6 more
wiley   +1 more source

Model analisis camel untuk memprediksi financial distress pada sektor perbankan yang go public

open access: yesJurnal Akuntansi dan Auditing Indonesia, 2018
Etty M. Nasser, Tatik Aryati
doaj  

Univariate Analysis

open access: yes, 2016
Univariate analysis.
Markus Alexander Thaler (2935707)   +6 more
openaire   +2 more sources

Univariate Analysis

open access: yes, 2019
Univariate analysis.
Angel Alberquilla (2228674)   +6 more
openaire   +2 more sources

Univariate analysis

open access: yes, 2018
Univariate analysis.
Juan Torras Ambrós (5879585)   +6 more
openaire   +2 more sources

Univariate Analysis

open access: yes, 2015
N/A* Model does not converge due to small numbers of patients with previous PD historyUnivariate analysis.
Anuradha Jayanti (741138)   +5 more
openaire   +2 more sources

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