BMC medical informatics and decision making

Keyphrases

Publications

volume 24, number 1, 2024

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 24 (1) (2024)
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 24 (1) (2024)
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 24 (1) (2024)
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 24 (1) (2024)
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 24 (1) (2024)
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 24 (1) (2024)
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 24 (1) (2024)
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 24 (1) (2024)
M C Schut, D A Dongelmans, D W de Lange, S Brinkman, null null, 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 24 (1) (2024)
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 24 (1) (2024)
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 24 (1) (2024)
Joshua Yondjo, Joyce Siette
"VR is the future": perspectives of healthcare professionals on virtual reality as a diagnostic tool for dementia status in primary care. BMC medical informatics and decision making 24 (1) (2024)
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 24 (1) (2024)
Joshua Yondjo, Joyce Siette
"VR is the future": perspectives of healthcare professionals on virtual reality as a diagnostic tool for dementia status in primary care. BMC medical informatics and decision making 24 (1) (2024)
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 24 (1) (2024)
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 24 (1) (2024)
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 24 (1) (2024)
M C Schut, D A Dongelmans, D W de Lange, S Brinkman, null null, 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 24 (1) (2024)
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 24 (1) (2024)
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 24 (1) (2024)
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 24 (1) (2024)
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 24 (1) (2024)
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 24 (1) (2024)
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 24 (1) (2024)

volume 24, number Suppl 1, 2024

Hoon Seo, Lodewijk Brand, Hua Wang, null null
Learning semi-supervised enrichment of longitudinal imaging-genetic data for improved prediction of cognitive decline. BMC medical informatics and decision making 24 (Suppl 1) (2024)
Hoon Seo, Lodewijk Brand, Hua Wang, null null
Learning semi-supervised enrichment of longitudinal imaging-genetic data for improved prediction of cognitive decline. BMC medical informatics and decision making 24 (Suppl 1) (2024)
Hoon Seo, Lodewijk Brand, Hua Wang, null null
Learning semi-supervised enrichment of longitudinal imaging-genetic data for improved prediction of cognitive decline. BMC medical informatics and decision making 24 (Suppl 1) (2024)

volume 24, number Suppl 2, 2024

volume 24, number Suppl 3, 2024

Jiannan Liu, Huanmei Wu, Daniel H Robertson, Jie Zhang
Text mining and portal development for gene-specific publications on Alzheimer's disease and other neurodegenerative diseases. BMC medical informatics and decision making 24 (Suppl 3) (2024)
Xubing Hao, Rashmie Abeysinghe, Fengbo Zheng, Paul E Schulz, null null, Licong Cui
Mapping of Alzheimer's disease related data elements and the NIH Common Data Elements. BMC medical informatics and decision making 24 (Suppl 3) (2024)
Jiannan Liu, Huanmei Wu, Daniel H Robertson, Jie Zhang
Text mining and portal development for gene-specific publications on Alzheimer's disease and other neurodegenerative diseases. BMC medical informatics and decision making 24 (Suppl 3) (2024)
Xubing Hao, Rashmie Abeysinghe, Fengbo Zheng, Paul E Schulz, null null, Licong Cui
Mapping of Alzheimer's disease related data elements and the NIH Common Data Elements. BMC medical informatics and decision making 24 (Suppl 3) (2024)
Xubing Hao, Rashmie Abeysinghe, Fengbo Zheng, Paul E Schulz, null null, Licong Cui
Mapping of Alzheimer's disease related data elements and the NIH Common Data Elements. BMC medical informatics and decision making 24 (Suppl 3) (2024)
Xubing Hao, Rashmie Abeysinghe, Fengbo Zheng, Paul E Schulz, null null, Licong Cui
Mapping of Alzheimer's disease related data elements and the NIH Common Data Elements. BMC medical informatics and decision making 24 (Suppl 3) (2024)
Jiannan Liu, Huanmei Wu, Daniel H Robertson, Jie Zhang
Text mining and portal development for gene-specific publications on Alzheimer's disease and other neurodegenerative diseases. BMC medical informatics and decision making 24 (Suppl 3) (2024)
Jiannan Liu, Huanmei Wu, Daniel H Robertson, Jie Zhang
Text mining and portal development for gene-specific publications on Alzheimer's disease and other neurodegenerative diseases. BMC medical informatics and decision making 24 (Suppl 3) (2024)

volume 24, number Suppl 4, 2024

Christel Sirocchi, Alessandro Bogliolo, Sara Montagna
Medical-informed machine learning: integrating prior knowledge into medical decision systems. BMC medical informatics and decision making 24 (Suppl 4) (2024)
Andrea Campagner, Frida Milella, Giuseppe Banfi, Federico Cabitza
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures. BMC medical informatics and decision making 24 (Suppl 4) (2024)
Christel Sirocchi, Alessandro Bogliolo, Sara Montagna
Medical-informed machine learning: integrating prior knowledge into medical decision systems. BMC medical informatics and decision making 24 (Suppl 4) (2024)
Christel Sirocchi, Alessandro Bogliolo, Sara Montagna
Medical-informed machine learning: integrating prior knowledge into medical decision systems. BMC medical informatics and decision making 24 (Suppl 4) (2024)
Andrea Campagner, Frida Milella, Giuseppe Banfi, Federico Cabitza
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures. BMC medical informatics and decision making 24 (Suppl 4) (2024)
Tanakamol Mahawan, Teifion Luckett, Ainhoa Mielgo Iza, Natapol Pornputtapong, Eva Caamano-Gutierrez
Robust and consistent biomarker candidates identification by a machine learning approach applied to pancreatic ductal adenocarcinoma metastasis. BMC medical informatics and decision making 24 (Suppl 4) (2024)
Andrea Campagner, Frida Milella, Giuseppe Banfi, Federico Cabitza
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures. BMC medical informatics and decision making 24 (Suppl 4) (2024)
Tanakamol Mahawan, Teifion Luckett, Ainhoa Mielgo Iza, Natapol Pornputtapong, Eva Caamano-Gutierrez
Robust and consistent biomarker candidates identification by a machine learning approach applied to pancreatic ductal adenocarcinoma metastasis. BMC medical informatics and decision making 24 (Suppl 4) (2024)
Tanakamol Mahawan, Teifion Luckett, Ainhoa Mielgo Iza, Natapol Pornputtapong, Eva Caamano-Gutierrez
Robust and consistent biomarker candidates identification by a machine learning approach applied to pancreatic ductal adenocarcinoma metastasis. BMC medical informatics and decision making 24 (Suppl 4) (2024)

volume 24, number Suppl 5, 2024

Hong-Jun Yoon, Hilda B Klasky, Andrew E Blanchard, J Blair Christian, Eric B Durbin, Xiao-Cheng Wu, Antoinette Stroup, Jennifer Doherty, Linda Coyle, Lynne Penberthy, Georgia D Tourassi
Development of message passing-based graph convolutional networks for classifying cancer pathology reports. BMC medical informatics and decision making 24 (Suppl 5) (2024)