Results 221 to 230 of about 24,248 (246)

Bibliometric and LDA analysis of the correlation between childhood obesity and precocious puberty (2005-2025). [PDF]

Front Pediatr
Li K, Xiang Y, Zhang L, Shi L, Qian W, Zhu M.   +5 more
europepmc   +1 more source

From Folding Mechanics to Robotic Function: A Unified Modeling Framework for Compliant Origami

Advanced Science, EarlyView.
A geometry‐consistent DDG framework captures compliant origami deformation from rigid‐like folding to soft panel bending. By tuning crease and panel stiffness, bistable snap‐through responses transform into smooth monostable deformation, enabling programmable stability and robot‐scale locomotion.
Bohan Zhang, Bo Wang, Huajiang Ouyang, Zhigang Wu, Haohao Bi, Jiawei Xu, Mingchao Liu, Weicheng Huang   +7 more
wiley   +1 more source

Artificial intelligence in prior authorization and coverage decisions: A systematic review of methods, evidence gaps, and future implications for patient access. [PDF]

J Manag Care Spec Pharm
Mousavi T, Tohme Shaya F, Cooke CE.
europepmc   +1 more source

Automated Risk Assessment of Opioid Use: Analysis Using Pre-Trained Transformers on Social Media Data. [PDF]

JMIR Infodemiology
Ahmad M, Orji R, Amjad M, Siddique A, Kubysheva N, Batyrshin I, Sidorov G.   +6 more
europepmc   +1 more source

Predicting the Emergency Department Patient Journey Using a Machine Learning Approach. [PDF]

JMIR AI
Kovoor JG, Carmichael GJ, Stretton B, Gupta AK, Kleinig OS, Ittimani M, Fabian J, Tan S, Ng JS, Sateakeerthy S, Booth A, Beath A, Kefalianos J, Jacob MO, Ahmed S, Chan W, Kovoor P, Gluck S, Gilbert T, Malycha J, Reddi BA, Padbury RT, Trochsler MI, Maddern GJ, Chew DP, Zannettino AC, Liew D, Beltrame JF, O'Callaghan PG, Papendick C, Bacchi S.   +30 more
europepmc   +1 more source

"Do It by Myself" or Autonomy, Participation, and Assistive Devices and Technology Needs of Children and Youth With Disabilities: Text Mining Analysis of a National Survey in France. [PDF]

JMIR Med Inform
Mensah Gourmel J, Bourgain M, Galloy M, Veruete M, Cornec G, Brochard S, Pons C, Benis A.   +7 more
europepmc   +1 more source

SentiTFIDF – Sentiment Classification using Relative Term Frequency Inverse Document Frequency

International Journal of Advanced Computer Science and Applications, 2014
—Sentiment Classification refers to the computational techniques for classifying whether the sentiments of text are positive or negative. Statistical Techniques based on Term Presence and Term Frequency, using Support Vector Machine are popularly used ...
Kranti Ghag, Ketan Shāh
exaly   +1 more source

Performance of Term Frequency - Inverse Document Frequency and K-Means in Government Service Identification

Term Frequency-Inverse Document Frequency (TF-IDF) is used to assess the importance of words in a document relative to the rest of the document set, while K-Means clusters documents based on content similarity.
Amalia Amalia, Mahyuddin K M Nasution
exaly   +1 more source

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Modified term frequency-inverse document frequency based deep hybrid framework for sentiment analysis

Multimedia Tools and Applications, 2023
Asit Kumar Das
exaly