Loại tài liệu:    Chỉ tìm trong: 
21-30 trong số 49 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:  155.264
 
Intracranial stenosis prediction using a small set of risk factors in the Tromsø Study
Tác giả: Luca Bernecker, Liv-Hege Johnsen, Torgil Riise Vangberg
Xuất bản: England: BMC medical informatics and decision making , 2025
Bộ sưu tập: NCBI
ddc:  620.1125
 
Decision tree model for predicting ovarian tumor malignancy based on clinical markers and preoperative circulating blood...
Tác giả: Yingjia Li, Xingping Zhao, Yanhua Zhou, Lina Gong, Enuo Peng
Xuất bản: England: BMC medical informatics and decision making , 2025
Bộ sưu tập: NCBI
ddc:  796.156
 
User acceptability and perceived impact of a mobile interactive education and support group intervention to improve post...
Tác giả: Valentina Cox, Preetika Sharma, Alison M El Ayadi, Garima Singh Verma, Navneet Gill, Nadia G Diamond-Smith, Mona Duggal, Vijay Kumar, Rashmi Bagga, Jasmeet Kaur, Pushpendra Singh
Xuất bản: England: BMC medical informatics and decision making , 2025
Bộ sưu tập: NCBI
ddc:  612.665
 
An effective multi-step feature selection framework for clinical outcome prediction using electronic medical records
Tác giả: Hongnian Wang, Mingyang Zhang, Liyi Mai, Xin Li, Abdelouahab Bellou, Lijuan Wu
Xuất bản: England: BMC medical informatics and decision making , 2025
Bộ sưu tập: NCBI
ddc:  133.594
 
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:  230.0071
 
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:  291.171
 
Noise is an underrecognized problem in medical decision making and is known by other names: a scoping review
Tác giả: Kayla V Dlugos, Mjaye Mazwi, Robert Lao, Osami Honjo
Xuất bản: England: BMC medical informatics and decision making , 2025
Bộ sưu tập: NCBI
ddc:  363.741
 
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:  332.02401
 
An effective multi-step feature selection framework for clinical outcome prediction using electronic medical records
Tác giả: Hongnian Wang, Mingyang Zhang, Liyi Mai, Xin Li, Abdelouahab Bellou, Lijuan Wu
Xuất bản: England: BMC medical informatics and decision making , 2025
Bộ sưu tập: NCBI
ddc:  133.594
 

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