Results 221 to 230 of about 302,402 (283)

Risk Evaluation of the NCD Risk Calculator for Open Pancreaticoduodenectomy in Elderly Patients: A Validation Study

Annals of Gastroenterological Surgery, EarlyView.
This study investigated the utility of the Japanese NCD risk calculator for preoperative assessment in elderly patients undergoing pancreaticoduodenectomy (PD), using a validation study design. In the training cohort, two preoperative factors—the predicted incidence of postoperative ADL decline ≥ 44.8% and Clavien–Dindo grade IV or higher complications
Nana Kimura, Ayaka Itoh, Ayano Sakai, Katsuhisa Hirano, Kenta Yagi, Naoya Takeda, Kazuto Shibuya, Isaku Yoshioka, Kenta Murotani, Tsutomu Fujii   +9 more
wiley   +1 more source

Postoperative Prognostic Nutritional Index as a Useful Prognostic Factor in Patients With Gastric Cancer

Annals of Gastroenterological Surgery, EarlyView.
In patients after gastric cancer surgery, low postoperative PNI values, considering nutritional status, surgical stress, and postoperative inflammatory response, were significantly associated with poor prognosis in terms of both RFS and OS. ABSTRACT Aim To verify whether postoperative prognostic nutritional index is a useful prognostic factor in ...
Masaaki Yamamoto, Takeshi Omori, Yasunori Masuike, Naoki Shinno, Hisashi Hara, Takahito Sugase, Takashi Kanemura, Atsushi Takeno, Motohiro Hirao, Hiroshi Miyata   +9 more
wiley   +1 more source

Deep Learning Model for Predicting Operative Mortality After Total Gastrectomy: Analysis of the Japanese National Clinical Database (NCD)

Annals of Gastroenterological Surgery, EarlyView.
Deep learning‐based prediction model for operative mortality using the National Clinical Database (NCD). The model achieved a C‐statistic of 0.74. ABSTRACT Background Radical gastrectomy with lymph node dissection is the primary treatment for gastric cancer.
Ryosuke Fukuyo, Hiroyuki Yamamoto, Masanori Tokunaga, Yusuke Kinugasa, Yoshihiro Kakeji, Ken Shirabe   +5 more
wiley   +1 more source

Smoothed jackknife empirical likelihood method for ROC curve

, 2010
Yun Gong, Liang Peng, Yongcheng Qi
openalex   +1 more source

Optimal Cutoff Size of Large Borrmann Type III Gastric Cancer: Is 8 cm Accurate in Predicting Survival and Incidence of Peritoneal Metastasis?

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Large type III gastric cancer (GC) ≥ 8 cm has conventionally been categorized with type IV GC in Japan, leading to alternative treatment strategies such as neoadjuvant chemotherapy and staging laparoscopy (SL). However, whether 8 cm is the correct cutoff remains unclear.
Yutaka Sugita, Manabu Ohashi, Naoki Miyazaki, Motonari Ri, Rie Makuuchi, Tomoyuki Irino, Masaru Hayami, Takeshi Sano, Souya Nunobe   +8 more
wiley   +1 more source

Towards Maximizing the Area Under the ROC Curve for Multi-Class Classification Problems

, 2011
Ke Tang, Rui Wang, Tianshi Chen
openalex   +2 more sources

ROC curves and classification

, 2013
openaire   +2 more sources

Machine Learning for Organic Fluorescent Materials

Aggregate, EarlyView.
Organic fluorescent materials (OFMs) have demonstrated significant potential in diverse applications. Conventional approaches for studying OFMs face significant limitations in fluorescence spectroscopy and computational methods. Machine learning (ML) has revolutionized materials chemistry, offering superior predictive accuracy and efficiency over ...
Jiamin Zhong, Wei Zhu, Shoutao Shen, Nan Zhou, Meiyang Xi, Kui Du, Dong Wang, Ben Zhong Tang   +7 more
wiley   +1 more source

Inverse Engineering of Mg Alloys Using Guided Oversampling and Semi‐Supervised Learning

Advanced Intelligent Discovery, EarlyView.
End‐to‐end design of engineering materials such as Mg alloys must include the properties, structure, and post‐synthesis processing methods. However, this is challenging when destructive mechanical testing is needed to annotate unseen data, and the processing methods for hypothetical alloys are unknown.
Amanda S. Barnard
wiley   +1 more source