Results 191 to 200 of about 582,179 (337)

Health Informatics Systems for Information and Decisional Control in Cancer Patients' Medical Decision-Making

, 2023
Soumya Surath Panda, Manashree Mane, Sourabh Kumar Singh   +2 more
openalex   +2 more sources

OXidative Stress PREDictor: A Supervised Learning Approach for Annotating Cellular Oxidative Stress States in Inflammatory Cells

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
OxSpred, an eXtreme‐Gradient‐Boosting‐‐based supervised learning model, accurately annotates oxidative stress in innate immune cells at the single‐cell level, providing interpretable embeddings with significant biological relevance. This innovative tool revolutionizes the understanding of innate immune cell functions during inflammation and enhances ...
Po‐Yuan Chen, Tai‐Ming Ko
wiley   +1 more source

Benchmarking IMIA recommendations for the health informatics undergraduate program in Saudi Arabia: a mixed methodology. [PDF]

BMC Med Educ
Alzghaibi H, Jamal QMS, Almutairi S, Alotaibi RM, Alzughaibi S, Abdul SS, AlGhayadh F, Mohd Yusof SA, Zakaria N.   +8 more
europepmc   +1 more source

A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni, Md. Alif Sheakh, Mst. Sazia Tahosin, Md. Zahid Hasan, Taslima Ferdaus Shuva, Touhid Bhuiyan, Muhammad Ali Abdullah Almoyad, Nabil Anan Orka, Md. Tanvir Rahman, Risala Tasin Khan, M. Shamim Kaiser, Mohammad Ali Moni   +11 more
wiley   +1 more source

Global and Episode-Specific Prediction of Recurrent Events Using Longitudinal Health Informatics Data. [PDF]

J Am Stat Assoc
Sun Y, Chiou SH, Huang CY.
europepmc   +1 more source

Machine Learning for Health Informatics [PDF]

, 2016
A Barabási, A Cerri, A Clark, A Holzinger, A Holzinger, A Holzinger, A Holzinger, A Holzinger, A Holzinger, A Holzinger, A Holzinger, A Holzinger, A Holzinger, A Holzinger, A Mowshowitz, AA Canutescu, AL Barabasi, AL Samuel, AL Swan, AR Jadad, B Huppertz, B Malle, B Roche, B Settles, B Shahriari, C Epstein, C Jiang, C Mayer, CA Mattmann, CD Corley, CJ Burges, D Otasek, D Parry, D Windridge, DJ Cook, ER Kandel, F Harary, F Jeanquartier, F Ricci, G Carlsson, G Gigerenzer, H Chen, H Edelsbrunner, H Mueller, H Wagner, H Wagner, J Baxter, J Bleiholder, J Kleinberg, JA Benediktsson, JB Tenenbaum, JC Duchi, JE McDermott, JR Bellegarda, JR Kok, JW Cannon, K Yoshida, KP Sycara, KQ Weinberger, L Blanchet, L Dehaspe, LG Valiant, M Dehmer, M Hund, M Kobayashi, M McCloskey, M Ward, ME Taylor, MH DeGroot, MI Jordan, N Spinrad, NA Lynch, P Bubenik, R Adler, R Hornero, R Olfati-Saber, RH Lathrop, RL Adler, RM French, RN Shepard, S Dorogovtsev, S Lafon, S Lee, S Strogatz, SC Weller, SJ Pan, SM Pincus, T Hastie, T Washio, T Wittkop, U Fayyad, V Mnih, VN Vapnik, W Koontz, X Su, Y LeCun, YW Teh, Z Ghahramani   +97 more
core   +2 more sources

Multitarget Recognition of Flower Images Based on Lightweight Deep Neural Network and Transfer Learning

Advanced Intelligent Systems, EarlyView.
This article proposes a lightweight YOLOv4‐based detection model using MobileNetV3 or CSPDarknet53_tiny, achieving 30+ FPS and higher mAP. It also presents a ShuffleNet‐based classification model with transfer learning and GAN‐augmented images, improving generalization and accuracy.
Qingyang Liu, Yanrong Hu, Hongjiu Liu
wiley   +1 more source

Principles and implementation strategies for equitable and representative academic partnerships in global health informatics research. [PDF]

J Am Med Inform Assoc
Campbell E, Bear Don't Walk OJ, Fraser H, Gichoya J, Wagholikar KB, Kanter AS, Holl F, Craig S.   +7 more
europepmc   +1 more source

Real‐Time Sampling‐Based Model Predictive Control Based on Reverse Kullback–Leibler Divergence and Its Adaptive Acceleration

Advanced Intelligent Systems, EarlyView.
This study presents a new sampling‐based model predictive control minimizing reverse Kullback‐Leibler divergence to quickly find a local optimum. In addition, a modified Nesterov's acceleration method is introduced for faster convergence. The method is effective for real‐time simulations and real‐world operability improvement on a force‐driven mobile ...
Taisuke Kobayashi, Kota Fukumoto
wiley   +1 more source

The administrative burden of medication affordability resources: an environmental scan with implications for health informatics to advance health equity. [PDF]

J Am Med Inform Assoc
Antonio MG, Swallow J, Richesson R, Carethers C, Coe AB, Jahagirdar D, Huang YY, Toscos T, Flanagan M, Veinot TC.   +9 more
europepmc   +1 more source