„Electronic data processing“

Suchergebnisse

5.920 Treffer

• Electric field-tuned spin Seebeck effect in doped SiC nanoribbons
  Huang, JiangXue ; Su, HongQiao ; He, Jin ; Huang, QiJun ; Wang, Hao ; Chang, Sheng
• Can artificial intelligence with multimodal imaging outperform traditional methods in predicting age-related macular degeneration progression? A systematic review and exploratory meta-analysis
  Chen, Kai-Yang ; Chan, Hoi-Chun ; Chan, Chi-Ming
• Polarization-selective dual-mode metasurface for transmission, reflection, and absorption
  K, Neema ; Das Krishna, Deepti ; Mathew, Magnel Rose
• Photonic crystal fiber-based gas sensor for HCN detection in industrial environments
  Nizar, S. Mohamed ; Kalpana, S. ; Abinaya, S.
• A current–voltage model for organic solar cells with carrier transport layers based on a combined analytical and regression approach
  Inche Ibrahim, M. L.
• Methodische und softwaretechnische Unterstützung global verteilter Softwareentwicklung bei mittelständischen Unternehmen
  Nordheimer, Khrystyna 2016 Peter Lang GmbH, Internationaler Verlag der Wissenschaften
• Machine learning in the prediction of diabetic peripheral neuropathy: a systematic review
  Ma, Yueying ; Wang, Zhiying ; Yao, Zheng ; Lu, Bin ; He, Yanming
• Decision fatigue of surrogate decision-makers: a scoping review
  Cai, Shasha ; Zhang, Mei ; Song, Zhanghui ; He, Yangmengyuan ; Huang, Mengchen ; Shuai, Qinyan
• Ethical implications of using general-purpose LLMs in clinical settings: a comparative analysis of prompt engineering strategies and their impact on patient safety
  Esmaeilzadeh, Pouyan
• SPA-IoT with MCSV-CNN: a novel IoT-enabled method for robust pre-ictal seizure prediction
  Yedurkar, Dhanalekshmi Prasad ; Metkar, Shilpa P. ; Stephan, Thompson ; Mohan, Vijay ; Agarwal, Saurabh
• High-throughput biomedical relation extraction for semi-structured web articles empowered by large language models
  Zhou, Songchi ; Yu, Sheng
• Combining clinical and left atrial electromechanical remodelling data: potential to improve atrial fibrillation ablation outcome prediction
  Bodagh, Neil ; Sim, Iain ; Ghahfarokhi, Mahta Haghighat ; Tun, Kyaw Soe ; Kotadia, Irum ; Klis, Magda ; Vigneswaran, Vinush ; Lemus, Jose Alonso Solis ; Whitaker, John ; Gharaviri, Ali ; Masci, Pier-Giorgio ; Chiribiri, Amedeo ; Niederer, Steven ; O’Neill, Mark ; Williams, Steven E.
• Comprehensive survival analysis of breast cancer patients: a bayesian network approach
  Toffaha, Khaled ; Emre Simsekler, Mecit Can ; Shehhi, Aamna Al ; Sleptchenko, Andrei ; AlAwadhi, Aydah
• A study on factors influencing decision - making conflicts of proxies of thrombolytic patients with acute ischemic stroke: a network analysis
  Li, Dazhen ; Guo, Yuanli ; Ma, Keke ; Fan, Wenfeng ; Yang, Caixia ; Gao, Renke ; Guo, Li-Na ; Dong, Xiaofang ; Lv, Peihua ; Liu, Yanjin
• Evaluating the effectiveness of a risk prediction model (PERSARC) on improving treatment decisions quality for patients with soft-tissue sarcomas: the VALUE-PERSARC study
  Kruiswijk, Anouk A. ; Mheen, Perla J. Marang-van de ; Vlug, Lisa A. E. ; Engelhardt, Ellen G. ; Fiocco, Marta ; Haas, Rick L. ; Schrage, Yvonne M. ; Verhoef, Cornelis ; Bemelmans, Marc H. A. ; Ginkel, Robert J. van ; Bonenkamp, Johannes J. ; Witkamp, Arjen J. ; Sande, Michiel A. J. van de ; Bodegom-Vos, Leti van
• Prediction of atrial fibrillation admissions in arrhythmia naïve patients from structured electronic health record data
  Gokhale, Tanmay ; Bhatt, Nirav R. ; Starr, Matthew ; Mulukutla, Suresh ; Thoma, Floyd ; Akcakaya, Murat ; Al-Zaiti, Salah ; Nogueira, Raul G. ; Saba, Samir
• Artificial Intelligence and the Bright Internet: Transforming the Internet for a Better Future
  Bose, Indranil ; Kar, Arpan Kumar ; Lee, Gene Moo ; Leung, Alvin Chung Man ; Kim, Dan J.
• Development of a prediction model for lower limb deformity in patients with hereditary multiple exostoses based on interpretable models and nomogram
  Lu, Rongbin ; Ling, He ; Huang, Zhao ; Li, Wencai ; Liu, Junjie ; Lao, Yonghui ; Liu, Qian ; Ding, Xiaofei
• Determining patient eligibility for a physical activity referral scheme through EHR data extraction
  Rosemeyer, James ; Trilk, Jennifer L. ; Jindal, Meenu ; Brooks, John M. ; McNulty, Lia K. ; Stoutenberg, Mark
• Association rule mining of time-based patterns in diabetes-related comorbidities on imbalanced data: a pre- and post-diagnosis study
  Bata, Róbert ; Ghanem, Amr Sayed ; Vargáné Faludi, Eszter ; Sztanek, Ferenc ; Nagy, Attila Csaba