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ORCIDBMC Medical Informatics & Decision Making, Volume 26
Volume 26, Number 1, December 2026
- Xueping Liu, Xingya Liu, Youru Li, Shi Bai, Na Li, Tianyi Gong, Silu Ding:
Predictive framework for cervical cancer brachytherapy fractionation mode integrating generative model and dynamic feature aggregation GNNs. 1 - Navjot Kaur Bians, Joonsoo Sean Lyeo, Jeff Gilchrist, Christina Honeywell, Paula Cloutier, Allison Kennedy, Kathleen Pajer
:
Predicting child and adolescent mental health emergency department revisits: a machine-learning approach compared to a clinician-derived baseline. 2 - Gangfeng Zhu, Yipeng Song, Beijia Yu, Cixiang Chen, Siying Chen, Yi Xie, Qiang Yi, Haozhe Fu, Xiangcai Wang, Li Huang:
Machine learning-driven risk stratification to guide variceal embolization in TIPS-treated cirrhotic patients with acute variceal bleeding. 3 - Claudia Robbiati, Maria Elena Tosti, Joaquim Tomas, Giulia Natali, Luca De Simeis, Nsuka Da Silva, Florentino Ferraz Joaquim, Daniel Tulomba, Neusa Lazary, Janet Adão, Fabio Manenti, Maria Grazia Dente:
Digital health for Tuberculosis control: findings from the piloting of an electronic medical record in Luanda (Angola). 4 - Minjie Chen, Pengan Li, Yuanwen Xu, Zhenghui Li, Yan Xiong, Jianhua Wu, Chintan Pandya, Yunuo Wang, Guixin Huang:
Development and validation of interpretable machine learning models to predict intensive care unit outcomes in patients on hemodialysis: a multicenter study. 5 - Chung-Kuan Wu, Zih-Kai Kao, Vy-Khanh Nguyen, Noi Yar, Ming-Tsang Chuang, Tzu-Hao Chang:
Exploring prognostic factors on vascular outcomes among maintenance dialysis patients and establishing a prognosis prediction model using machine learning methods. 6 - Mehran Motamedi, Najibeh Mohseni Moallemkolaei, Mohammadhossein Hesamirostami, Mojtaba Ghorbani, Leila Shokrizadeh Arani:
Simultaneous prediction of early and delayed mortality in burn patients: a comparative machine learning analysis of feature importance in a single-center retrospective study. 7 - Komal Gilani, Wei Wei, Christof Peters, Marlo Verket, Hans-Peter Brunner-La Rocca, Enrico Nicolis, Martina Colombo, Katharina Marx-Schütt, Visara Urovi, Michel Dumontier:
CMEO: a metadata-centric ontology for clinical studies exploration and harmonization assessment. 8 - Anthony F. Wong, Lucy A. Bilaver, Jialing Jiang, Yuan Luo, Ruchi S. Gupta, Marc Rosenman, Michael S. Carroll:
Assessing pediatric clinician adherence to the guidelines for prevention of peanut allergy: a natural language processing study. 9 - Guiliang Yan, Sizhu Wu, Qing Qian:
Early diagnosis of Alzheimer's disease using machine learning and blood biomarkers. 10 - Raghu Yelugam, Daniel B. Hier, Tayo Obafemi-Ajayi, Michael D. Carrithers, Donald C. Wunsch II:
A formal explanation space for the simultaneous clustering of neurologic diseases based on their signs and symptoms. 11 - Helen Pearson, Anne-Sophie Darlington, Faith Gibson, Michelle Myall:
Supporting parent treatment decision-making in relapsed and refractory neuroblastoma: co-design of a web-based intervention. 12 - Mohammad Amouzadeh Lichahi, Saeed Anvari, Hossein Hemmati, Ervin Zadgari, Maryam Jafari, Seyedeh Mohadeseh Mosavi Mirkalaie, Mohaya Farzin, Amirhossein Larijani:
Diagnostic performance of machine learning and deep learning algorithms for thyroid cancer metastasis: a systematic review and meta-analysis. 13 - Mohannad Natheef AbuHaweeleh, Adiba Tabassum Chowdhury, Mehrin Newaz, Purnata Saha, Khandaker Reajul Islam, Jaya Kumar, Muhammad E. H. Chowdhury, Shona Pedersen:
Sepsis mortality prediction using machine learning and deep learning - a systematic review. 16 - Bettina Mølri Knudsen, Stine Rauff Søndergaard, Meg Carley, Karina Dahl Steffensen, Dawn Stacey:
Effects of patient decision aids used pre-consult or in-consult on patient-clinician communication - secondary analysis of a systematic review with meta-analysis. 17 - Lim Weng Seong, Pietro Lio, Nur Aishah Taib, Mogana Darshini Ganggayah, Sarinder Kaur Dhillon:
Assessment of transformer-based AI in clinical oncology. 18 - Joseph R. Wardell, Nora Shaska, Zara Ahmed, Brigid Gregg, Kanakadurga Singer, Jung Eun Lee, Emily Hirschfeld, Ashley Garrity, Susan Woolford, Karen E. Peterson, Jennifer L. Bragg-Gresham, Kelly Orringer, Lauren Oshman, Jonathan Gabison, Layla Mohammed, Esther Yoon, Jacob Bilhartz, Bonnie Burns, Joyce M. Lee:
Leveraging clinical decision support system tools for childhood overweight/obesity management. 19 - Jieun Oh, Dongheon Lee, Minwoong Kang, Chahyun Oh, Seyeon Park, Jiho Park, Kyungsang Kim, Boohwi Hong:
Predictive machine learning for postoperative pain using biosignals: a retrospective observational study. 20 - Yijing Tao, Guoxin Huang, Mengna Huang, Qianwen Yao, Zhisong Wang, Leng Han, Donglai Cao, Guoxiu Ke, Yiwen Zheng, Juan Wang:
A study on predicted in-hospital mortality in critically ill patients with coronary heart disease: analysis of the MIMIC-IV database. 21 - Yi Yu, Jin-Lan Chen, Guang-Yin Li, Shen-Shen Huang, Ting Wang, Xiao-Kai Li, Yi-Gang Li:
Development and validation of a risk nomogram for predicting recurrence in patients with non-valvular atrial fibrillation after radiofrequency catheter ablation. 22 - Ali Ebrahimi, Jakob Bo Reinevald Eriksen, David Krogh Kølbæk, Jonas Mohr Pedersen, Ebbe Vincent Just Christensen, Søren Skovbakke, Ole Skov, Susanne Schmidt Pedersen, Amir Sorayaie Azar, Uffe Kock Wiil:
Explainable AI models for identifying anxiety and distress in cardiac patients with ICDs. 23 - Hesamaddin Kamalzadeh, Niloofar Choobin, Ali Haghighat, Majid Teremmahi Ardestani, Mobina Farhanpoor:
AI-assisted haematology: machine learning-based prediction of iron-deficiency anaemia from reticulocyte maturation indices. 24 - Congbo Yue, Shichao Liu, Wenhua Wang, Yu Zhao, Xiaofeng Zhang, Guanghui Zhao:
Machine learning in early screening for high-grade cervical intraepithelial neoplasia using blood testing. 25 - Blake Langlais, Brie Noble, Briant Fruth, Mia Truman, Gina L. Mazza, Brenda Ginos, Carolyn Mead-Harvey, Minji Lee, Claire Yee, Lauren J. Rogak, Eric Meek, Allison Deal, John Devin Peipert, Gita Thanarajasingam, Ethan Basch, Amylou C. Dueck:
ProAE: an R package for graphical tools and standardized analysis of patient-reported outcomes and adverse events data. 26 - Zuheng Wang, Xiao Li, Qin Li, Rongbin Zhou, Dongwei Pan, Zequn Su, Cunmeng Wei, Wenhao Lu, Fubo Wang:
Leveraging laboratory biomarkers to predict urosepsis after upper urinary tract stone surgery: an explainable machine learning approach. 27 - Solomon Nsumba, Flavia Delmira Ninsiima, Mary Juliet Nampawu, Peter Nabende, Joyce Nakatumba-Nabende:
Modeling anesthetic-drug label detection for low-resource operating rooms. 28 - Jungang Zhao, Hanxiang Liu, Yaolong Chen, Fujian Song:
Application of artificial intelligence tools and clinical documentation burden: a systematic review and meta-analysis. 29 - Marko Miletic, Murat Sariyar:
Synthetic data generation methods for longitudinal and time series health data: a systematic review. 30 - Zhenhua Xu, Weiya Sun, Haonan Qian, Mengjin Yao:
Construction and application of a model for predicting athletes' injury risk based on machine learning. 31 - Hamidreza Abtahi, Maryam Edalatifard, Marsa Gholamzadeh, Elmira Khakvatan:
Predicting Zygosity based on physical similarity of twin pairs with the aid of machine learning methods. 32
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