Loại tài liệu:    Chỉ tìm trong: 
21-30 trong số 47 kết quả
Feasibility of YOLOX computer model-based assessment of knee function compared with manual assessment for people with se...
Tác giả: Tao Yang, Jie Zhao, Ben Wang, Li Wang, Hengzhe Bao, Bing Li, Wen Luo, Huiwen Zhao, Jun Liu
Xuất bản: England: BMC medical informatics and decision making , 2025
Bộ sưu tập: NCBI
ddc: 
 
Correction: Machine learning predicts pulmonary long Covid sequelae using clinical data
Tác giả: Ermanno Cordelli, Paolo Soda, Lorenzo Preda, Luisa Francini, Matteo Tortora, Isabella Castiglioni, Sergio Papa, Diego Sona, Marco Alì, Sara Citter, Elia Schiavon, Christian Salvatore, Deborah Fazzini, Greta Clementi, Michaela Cellina, Andrea Cozzi, Chandra Bortolotto
Xuất bản: England: BMC medical informatics and decision making , 2025
Bộ sưu tập: NCBI
ddc: 
 
Development of minimum data set and electronic registry for hemodialysis patients management
Tác giả: Mahtab Karami, Ehsan Nabovati, Nasim Mirpanahi
Xuất bản: England: BMC medical informatics and decision making , 2025
Bộ sưu tập: NCBI
ddc: 
 
Synthesis of the clinical utilities and issues of intraoperative imaging devices in clinical reports: a systematic revie...
Tác giả: Hiroyuki Suzuki, Yusuke Tsuboko, Manabu Tamura, Ken Masamune, Kiotaka Iwasaki
Xuất bản: England: BMC medical informatics and decision making , 2025
Bộ sưu tập: NCBI
ddc: 
 
A series of natural language processing for predicting tumor response evaluation and survival curve from electronic heal...
Tác giả: Toshiki Takeuchi, Hidehito Horinouchi, Yuichiro Ohe, Mototaka Miyake, Hirokazu Watanabe, Masahiko Kusumoto, Takashi Aoki, Kunihiro Nishimura, Ryuji Hamamoto, Ken Takasawa, Masami Mukai, Ken Masuda, Yuki Shinno, Yusuke Okuma, Tatsuya Yoshida, Yasushi Goto, Noboru Yamamoto
Xuất bản: England: BMC medical informatics and decision making , 2025
Bộ sưu tập: NCBI
ddc: 
 
Prediction of depressive disorder using machine learning approaches: findings from the NHANES
Tác giả: Thien Vu, Research Dawadi, Masaki Yamamoto, Jie Ting Tay, Naoki Watanabe, Yuki Kuriya, Ai Oya, Phap Ngoc Hoang Tran, Michihiro Araki
Xuất bản: England: BMC medical informatics and decision making , 2025
Bộ sưu tập: NCBI
ddc: 
 
De-identification of clinical notes with pseudo-labeling using regular expression rules and pre-trained BERT
Tác giả: Jiyong An, Jiyun Kim, Leonard Sunwoo, Hyunyoung Baek, Sooyoung Yoo, Seunggeun Lee
Xuất bản: England: BMC medical informatics and decision making , 2025
Bộ sưu tập: NCBI
ddc: 
 
A series of natural language processing for predicting tumor response evaluation and survival curve from electronic heal...
Tác giả: Toshiki Takeuchi, Hidehito Horinouchi, Yuichiro Ohe, Mototaka Miyake, Hirokazu Watanabe, Masahiko Kusumoto, Takashi Aoki, Kunihiro Nishimura, Ryuji Hamamoto, Ken Takasawa, Masami Mukai, Ken Masuda, Yuki Shinno, Yusuke Okuma, Tatsuya Yoshida, Yasushi Goto, Noboru Yamamoto
Xuất bản: England: BMC medical informatics and decision making , 2025
Bộ sưu tập: NCBI
ddc: 
 
Prediction of depressive disorder using machine learning approaches: findings from the NHANES
Tác giả: Thien Vu, Research Dawadi, Masaki Yamamoto, Jie Ting Tay, Naoki Watanabe, Yuki Kuriya, Ai Oya, Phap Ngoc Hoang Tran, Michihiro Araki
Xuất bản: England: BMC medical informatics and decision making , 2025
Bộ sưu tập: NCBI
ddc: 
 
How good is your synthetic data? SynthRO, a dashboard to evaluate and benchmark synthetic tabular data
Tác giả: Gabriele Santangelo, Giovanna Nicora, Riccardo Bellazzi, Arianna Dagliati
Xuất bản: England: BMC medical informatics and decision making , 2025
Bộ sưu tập: NCBI
ddc: 
 

Truy cập nhanh danh mục