SUBJECTS : Health Information Technologie
LATEST MANUSCRIPTS IN BMC Medical Informatics and Decision Making
- Zhibin Huang, Keen Yang, Hongtian Tian, Huaiyu Wu, Shuzhen Tang, Chen Cui, Siyuan Shi, Yitao Jiang, Jing Chen, Jinfeng Xu, Fajin Dong. A validation of an entropy-based artificial intelligence for ultrasound data in breast tumors. BMC medical informatics and decision making. 2024, 24 (1): 1
Cited : 1Read More - Andrew M Simms, Anshul Kanakia, Muhammad Sipra, Bhaskar Dutta, Noel Southall. A patient safety knowledge graph supporting vaccine product development. BMC medical informatics and decision making. 2024, 24 (1): 10Cited : 1Read More
- Yuan Tian, Rui Li, Guanlong Wang, Kai Xu, Hongxia Li, Lei He. Prediction of postoperative infectious complications in elderly patients with colorectal cancer: a study based on improved machine learning. BMC medical informatics and decision making. 2024, 24 (1): 11Cited : 2Read More
- Pedro Cardoso, John M Dennis, Jack Bowden, Beverley M Shields, Trevelyan J McKinley, . Dirichlet process mixture models to impute missing predictor data in counterfactual prediction models: an application to predict optimal type 2 diabetes therapy. BMC medical informatics and decision making. 2024, 24 (1): 12Cited : 4Read More
- Anying Bai, Mingyu Si, Peng Xue, Yimin Qu, Yu Jiang. Artificial intelligence performance in detecting lymphoma from medical imaging: a systematic review and meta-analysis. BMC medical informatics and decision making. 2024, 24 (1): 13Cited : 6Read More
- Liza Grosman-Rimon, Pete Wegier, Ruben Rodriguez, Jane Casey, Susan Tory, Jhanvi Solanki, Barbara E Collins. A command centre implementation before and during the COVID-19 pandemic in a community hospital. BMC medical informatics and decision making. 2024, 24 (1): 14Cited : 1Read More
- Ruibin Wang, Kavisha Jayathunge, Rupert Page, Hailing Li, Jian Jun Zhang, Xiaosong Yang. Hybrid architecture based intelligent diagnosis assistant for GP. BMC medical informatics and decision making. 2024, 24 (1): 15Cited : 0Read More
- Rufa Zhang, Minyue Yin, Anqi Jiang, Shihou Zhang, Xiaodan Xu, Luojie Liu. Automated machine learning for early prediction of acute kidney injury in acute pancreatitis. BMC medical informatics and decision making. 2024, 24 (1): 16Cited : 1Read More
- Yujing Cheng, Xin Yang, Ying Wang, Qi Li, Wanlu Chen, Run Dai, Chan Zhang. Multiple machine-learning tools identifying prognostic biomarkers for acute Myeloid Leukemia. BMC medical informatics and decision making. 2024, 24 (1): 2Cited : 2Read More
- Xiaoli Wu, Hao Wu, Shouliang Miao, Guoquan Cao, Huang Su, Jie Pan, Yilun Xu. Deep learning prediction of esophageal squamous cell carcinoma invasion depth from arterial phase enhanced CT images: a binary classification approach. BMC medical informatics and decision making. 2024, 24 (1): 3Cited : 0Read More
- Meredith Gunlicks-Stoessel, Yangchenchen Liu, Catherine Parkhill, Nicole Morrell, Mimi Choy-Brown, Christopher Mehus, Joel Hetler, Gerald August. Adolescent, parent, and provider attitudes toward a machine learning based clinical decision support system for selecting treatment for youth depression. BMC medical informatics and decision making. 2024, 24 (1): 4Cited : 0Read More
- Atul Kumar Jain, Prashant Sharma, Sarkaft Saleh, Tuphan Kanti Dolai, Subhas Chandra Saha, Rashmi Bagga, Alka Rani Khadwal, Amita Trehan, Izabela Nielsen, Anilava Kaviraj, Reena Das, Subrata Saha. Multi-criteria decision making to validate performance of RBC-based formulae to screen [Formula: see text]-thalassemia trait in heterogeneous haemoglobinopathies. BMC medical informatics and decision making. 2024, 24 (1): 5Cited : 3Read More
- Wenjing Cao, Azidah Abdul Kadir, Wenzhen Tang, Juan Wang, Jiamu Yuan, Intan Idiana Hassan. Effectiveness of mobile application interventions for stroke survivors: systematic review and meta-analysis. BMC medical informatics and decision making. 2024, 24 (1): 6Cited : 3Read More
- M C Schut, D A Dongelmans, D W de Lange, S Brinkman, , N F de Keizer, A Abu-Hanna. Development and evaluation of regression tree models for predicting in-hospital mortality of a national registry of COVID-19 patients over six pandemic surges. BMC medical informatics and decision making. 2024, 24 (1): 7Cited : 1Read More
- Jie Yang, Jingfang Wan, Lei Feng, Shihui Hou, Kaizhen Yv, Liang Xu, Kehong Chen. Machine learning algorithms for the prediction of adverse prognosis in patients undergoing peritoneal dialysis. BMC medical informatics and decision making. 2024, 24 (1): 8Cited : 0Read More
