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BMC Medical Informatics & Decision Making, Volume 24
Volume 24, Number 1, December 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. 1 - 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. 2 - 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. 3 - 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. 4 - 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 β-thalassemia trait in heterogeneous haemoglobinopathies. 5 - 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. 6 - Martijn C. Schut, Dave A. Dongelmans, Dylan W. De Lange, Sylvia Brinkman, D. P. Verbiest, L. F. te Velde, E. M. van Driel, T. Rijpstra, P. H. J. Elbers, A. P. I. Houwink, L. Georgieva, E. Verweij, R. M. de Jong, F. M. van Iersel, T. J. J. Koning, E. Rengers, N. Kusadasi, M. L. Erkamp, R. Van den Berg, C. J. M. G. Jacobs, J. L. Epker, A. A. Rijkeboer, M. T. de Bruin, P. Spronk, Annelies Draisma, D. J. Versluis, A. E. van den Berg, M. Vrolijk-de Mos, J. A. Lens, R. V. Pruijsten, H. Kieft, J. Rozendaal, Fleur G. C. A. Nooteboom, D. P. Boer, I. T. A. Janssen, L. van Gulik, M. P. Koetsier, V. M. Silderhuis, R. M. Schnabel, I. Drogt, Wouter de Ruijter, Robert-Jan Bosman, T. Frenzel, Louise C. Urlings-Strop, A. Dijkhuizen, I. Z. Hené, A. R. de Meijer, J. W. M. Holtkamp, N. Postma, A. J. G. H. Bindels, R. M. J. Wesselink, E. R. van Slobbe-Bijlsma, Peter H. J. van der Voort, B. J. W. Eikemans, D. Jannet Mehagnoul-Schipper, D. Gommers, J. G. Lutisan, M. Hoeksema, M. G. W. Barnas, Barbara Festen-Spanjer, M. van Lieshout, N. C. Gritters, Martijn van Tellingen, Gert B. Brunnekreef, J. Vandeputte, T. P. J. Dormans, M. E. Hoogendoorn, M. de Graaff, D. Moolenaar, Auke C. Reidinga, J. J. Spijkstra, R. de Waal, D. Ramnarain, Nicolette F. de Keizer, Ameen 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. 7 - Jie Yang, Jing-Fang Wang, Lei Feng, Shihui Hou, Kaizhen Yv, Liang Xu, Kehong Chen:
Machine learning algorithms for the prediction of adverse prognosis in patients undergoing peritoneal dialysis. 8 - 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. 9 - Andrew M. Simms
, Anshul Kanakia, Muhammad Sipra, Bhaskar Dutta, Noel Southall:
A patient safety knowledge graph supporting vaccine product development. 10 - 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. 11 - 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. 12 - 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. 13 - 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. 14 - Ruibin Wang, Kavisha Jayathunge
, Rupert Page, Hailing Li, Jian Jun Zhang, Xiaosong Yang:
Hybrid architecture based intelligent diagnosis assistant for GP. 15 - 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. 16 - Chang-Jiang Zhang, Yuan-Lu, Fu-Qin Tang, Hai-Peng Cai, Yin-Fen Qian, Chao-Wang:
Heart failure classification using deep learning to extract spatiotemporal features from ECG. 17 - Jie Hu, Zixian Huang, Xuewen Ge, Yulin Shen, Yihan Xu, Zirui Zhang, Guangyin Zhou, Junjie Wang, Shan Lu, Yun Yu, Cheng Wan, Xin Zhang, Ruochen Huang, Yun Liu, Gong Cheng:
Development and application of Chinese medical ontology for diabetes mellitus. 18 - Zhidong Zhao, Jiawei Zhu, Pengfei Jiao, Jinpeng Wang, Xiaohong Zhang, Xinmiao Lu, Yefei Zhang:
Hybrid-FHR: a multi-modal AI approach for automated fetal acidosis diagnosis. 19 - Wei Li, Xin Min, Panpan Ye, Weidong Xie, Dazhe Zhao:
Temporal topic model for clinical pathway mining from electronic medical records. 20 - Anna-Jasmin Wetzel
, Malte Klemmt, Regina Müller, Monika A. Rieger, Stefanie Joos, Roland Koch:
Only the anxious ones? Identifying characteristics of symptom checker app users: a cross-sectional survey. 21 - Kim Greaves, Amanda King, Zoltan Bourne, Jennifer Welsh
, Mark Morgan
, M. Ximena Tolosa, Carissa Bonner, Tony Stanton, Michael Fryer, Rosemary Korda
:
Participant characteristics and reasons for non-consent to health information linkage for research: experiences from the ATHENA COVID-19 study. 22 - Fatma M. Talaat, Shaker H. Ali El-Sappagh, Khaled Alnowaiser
, Esraa Hassan:
Improved prostate cancer diagnosis using a modified ResNet50-based deep learning architecture. 23 - Mengjie Hu, Han Peng, Xuan Zhang, Lefeng Wang, Jingjing Ren:
Building gender-specific sexually transmitted infection risk prediction models using CatBoost algorithm and NHANES data. 24 - Joon Yul Choi, Ik Hee Ryu, Jin Kuk Kim, In Sik Lee, Tae Keun Yoo
:
Development of a generative deep learning model to improve epiretinal membrane detection in fundus photography. 25 - Chun-Hei Lai
, Prudence Kwan-Lam Mok
, Wai-Wang Chau
, Sheung-Wai Law
:
Application of machine learning models on predicting the length of hospital stay in fragility fracture patients. 26 - Imanol Isasa
, Mikel Hernandez
, Gorka Epelde, Francisco Londoño, Andoni Beristain
, Xabat Larrea, Ane Alberdi, Panagiotis D. Bamidis, Evdokimos I. Konstantinidis:
Comparative assessment of synthetic time series generation approaches in healthcare: leveraging patient metadata for accurate data synthesis. 27 - Alan Renier Jamal Occhioni Molter, Naise Oliveira da Rocha Carvalho, Paloma Ribeiro Torres, Marlete Pereira da Silva, Patrícia Dias de Brito, Pedro Emmanuel Alvarenga Americano do Brasil, Claudio Fico Fonseca, Adriana Costa Bacelo
:
Development of a mobile application to represent food intake in inpatients: dietary data systematization. 28 - Akhila Abdulnazar, Amila Kugic
, Stefan Schulz, Vanessa Stadlbauer, Markus Kreuzthaler:
O2 supplementation disambiguation in clinical narratives to support retrospective COVID-19 studies. 29 - Tudor Groza, J. Harry Caufield, Dylan Gration, Gareth Baynam, Melissa A. Haendel, Peter N. Robinson, Christopher J. Mungall, Justin T. Reese:
An evaluation of GPT models for phenotype concept recognition. 30 - Yifei Du, Yu Gu:
The development of evaluation scale of the patient satisfaction with telemedicine: a systematic review. 31 - Liza G. G. van Lent
, Mirte van der Ham
, Maja J. A. de Jonge
, Eelke H. Gort
, Marjolein van Mil, Jeroen Hasselaar
, Carin C. D. van der Rijt
, Jelle van Gurp
, Julia C. M. van Weert
:
Patient values in patient-provider communication about participation in early phase clinical cancer trials: a qualitative analysis before and after implementation of an online value clarification tool intervention. 32 - Md Ashiqul Haque, Muditha Lakmali Bodawatte Gedara, Nathan Nickel, Maxime Turgeon
, Lisa M. Lix:
The validity of electronic health data for measuring smoking status: a systematic review and meta-analysis. 33 - Simone Maria Kagerbauer, Bernhard Ulm, Armin Horst Podtschaske, Dimislav Ivanov Andonov, Manfred Blobner, Bettina Jungwirth
, Martin Graessner:
Susceptibility of AutoML mortality prediction algorithms to model drift caused by the COVID pandemic. 34 - Menglu Wang, Guangjian Liu, Zhennan Ni, Qianjun Yang, Xiaojun Li
, Zhisheng Bi:
Acute kidney injury comorbidity analysis based on international classification of diseases-10 codes. 35 - Yuting Li, Yukuan Lou, Man Liu, Siyi Chen, Peng Tan, Xiang Li, Huaixin Sun, Weixin Kong, Suhua Zhang, Xiang Shao:
Machine learning based biomarker discovery for chronic kidney disease-mineral and bone disorder (CKD-MBD). 36 - Sai Venkatesh Chilukoti
, Liqun Shan
, Vijay Srinivas Tida, Anthony S. Maida, Xiali Hei:
A reliable diabetic retinopathy grading via transfer learning and ensemble learning with quadratic weighted kappa metric. 37 - Mitra Rahimi, Mohammad Reza Afrash, Shahin Shadnia, Babak Mostafazadeh, Peyman Erfan Talab Evini, Mohadeseh Sarbaz Bardsiri, Maral Ramezani
:
Prediction the prognosis of the poisoned patients undergoing hemodialysis using machine learning algorithms. 38 - Jiajie Zhou, Xiaoming Yuan:
Establishment of a risk prediction model for bowel necrosis in patients with incarcerated inguinal hernia. 39 - Salmonn Talebi, Elizabeth Tong, Anna Li, Ghiam Yamin, Greg Zaharchuk, Mohammad R. K. Mofrad:
Exploring the performance and explainability of fine-tuned BERT models for neuroradiology protocol assignment. 40 - Jiajing Li, Yuanyuan Dai, Zhicheng Mu, Zhonghai Wang, Juan Meng, Tao Meng, Jimin Wang:
Choice of refractive surgery types for myopia assisted by machine learning based on doctors' surgical selection data. 41 - Simran Saggu, Hirad Daneshvar
, Reza Samavi, Paulo Pires, Roberto B. Sassi
, Thomas E. Doyle, Judy Zhao, Ahmad Mauluddin, Laura Duncan
:
Prediction of emergency department revisits among child and youth mental health outpatients using deep learning techniques. 42 - Jason Mao
, Grace Gomez Felix Gomez, Mei Wang, Huiping Xu, Thankam P. Thyvalikakath:
Prediction of Sjögren's disease diagnosis using matched electronic dental-health record data. 43 - Andreas Blomqvist
, Maria Bäck
, Leonie Verheijden Klompstra, Anna Strömberg
, Tiny Jaarsma
:
Usability and feasibility analysis of an mHealth-tool for supporting physical activity in people with heart failure. 44 - Sarayut Julkaew, Thakerng Wongsirichot, Kasikrit Damkliang
, Pornpen Sangthawan:
DeepVAQ : an adaptive deep learning for prediction of vascular access quality in hemodialysis patients. 45 - Sophie C. Renckens, H. Roeline Pasman, Zina Jorna, Hanna T. Klop, Chantal du Perron, Lia van Zuylen, Monique A. H. Steegers, Birkitt L. ten Tusscher, Margo M. C. van Mol, Lilian C. M. Vloet, Bregje D. Onwuteaka-Philipsen:
Varying (preferred) levels of involvement in treatment decision-making in the intensive care unit before and during the COVID-19 pandemic: a mixed-methods study among relatives. 46 - Junko Koike, Toshiaki Kono, Koji Takeda, Yuji Yamada
, Chiyo Fujii, Naotsugu Hirabayashi:
Data resource profile of an online database system for forensic mental health services. 47 - Qianning Liu, Yifan Chen, Peng Xie, Ying Luo, Buxuan Wang, Yuanxi Meng, Jiaqian Zhong, Jiaqi Mei, Wei Zou:
Development of a predictive machine learning model for pathogen profiles in patients with secondary immunodeficiency. 48 - Michael Selle, Magdalena Kircher, Cornelia Schwennen, Christian Visscher, Klaus Jung:
Dimension reduction and outlier detection of 3-D shapes derived from multi-organ CT images. 49 - Borum Nam, Beomjun Bark, Jeyeon Lee, In Young Kim:
InsightSleepNet: the interpretable and uncertainty-aware deep learning network for sleep staging using continuous Photoplethysmography. 50 - Lin Lawrence Guo, Keith E. Morse
, Catherine Aftandilian
, Ethan Steinberg, Jason Alan Fries
, José D. Posada, Scott Lanyon Fleming, Joshua Lemmon, Karim Jessa, Nigam Shah, Lillian Sung:
Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcare. 51 - Nahid Azdaki, Fatemeh Salmani, Toba Kazemi, Neda Partovi, Saeede Khosravi Bizhaem, Masomeh Noori Moghadam, Yoones Moniri, Ehsan Zarepur, Noushin Mohammadifard, Hassan Alikhasi, Fatemeh Nouri
, Nizal Sarrafzadegan, Seyyed Ali Moezi, Mohammad Reza Khazdair:
Which risk factor best predicts coronary artery disease using artificial neural network method? 52 - Yufeng Zhang
, Jessica R. Golbus, Emily Wittrup
, Keith D. Aaronson, Kayvan Najarian:
Enhancing heart failure treatment decisions: interpretable machine learning models for advanced therapy eligibility prediction using EHR data. 53 - Mohamed El Azzouzi, Gouenou Coatrieux, Reda Bellafqira, Denis Delamarre, Christine Riou, Naima Oubenali, Sandie Cabon, Marc Cuggia
, Guillaume Bouzillé:
Automatic de-identification of French electronic health records: a cost-effective approach exploiting distant supervision and deep learning models. 54 - Yanni Hu, Ziyang Hu
, Wenjing Liu, Antian Gao, Shanhui Wen, Shu Liu, Zitong Lin:
Exploring the potential of ChatGPT as an adjunct for generating diagnosis based on chief complaint and cone beam CT radiologic findings. 55 - Simone Maria Kagerbauer, Bernhard Ulm, Armin Horst Podtschaske, Dimislav Ivanov Andonov, Manfred Blobner, Bettina Jungwirth, Martin Graessner:
Correction: Susceptibility of AutoML mortality prediction algorithms to model drift caused by the COVID pandemic. 56 - Elias Chaibub Neto, Vijay Yadav, Solveig K. Sieberts, Larsson Omberg:
A novel estimator for the two-way partial AUC. 57 - Elisa Henke
, Michele Zoch
, Yuan Peng, Ines Reinecke
, Martin Sedlmayr
, Franziska Bathelt
:
Conceptual design of a generic data harmonization process for OMOP common data model. 58 - Yinghao Luo, Yahui Peng, Yujia Tang, Pengfei Huang, Qianqian Zhang, Chunying Wang, Weiting Zhang, Jing Zhou, Longyu Liang, YuXin Zhang, Kaijiang Yu, Changsong Wang:
Effect of early serum phosphate disorder on in-hospital and 28-day mortality in sepsis patients: a retrospective study based on MIMIC-IV database. 59 - Sergio Alejandro Holguin-Garcia
, Ernesto Guevara-Navarro
, Alvaro Eduardo Daza-Chica, Maria Alejandra Patiño-Claro, Harold Brayan Arteaga-Arteaga, Gonzalo A. Ruz, Reinel Tabares-Soto, Mario Alejandro Bravo-Ortiz:
A comparative study of CNN-capsule-net, CNN-transformer encoder, and Traditional machine learning algorithms to classify epileptic seizure. 60 - Victorine P. Muse
, Davide Placido, Amalie Dahl Haue
, Søren Brunak:
Seasonally adjusted laboratory reference intervals to improve the performance of machine learning models for classification of cardiovascular diseases. 62 - Hayley Dunnack Yackel, Barbara Halpenny, Janet L. Abrahm, Jennifer Ligibel, Andrea Enzinger
, David F. Lobach, Mary E. Cooley
:
A qualitative analysis of algorithm-based decision support usability testing for symptom management across the trajectory of cancer care: one size does not fit all. 63 - Petra V. Lostelius, Catharina Gustavsson, Eva Thors Adolfsson, Anne Söderlund, Åsa Revenäs, Ann-Britt Zakrisson, Magdalena Mattebo:
Identification of health-related problems in youth: a mixed methods feasibility study evaluating the Youth Health Report System. 64 - Rodrigo Escobar Díaz Guerrero, José Luís Oliveira, Jürgen Popp, Thomas Bocklitz:
MMIR: an open-source software for the registration of multimodal histological images. 65 - Robert Wu, Eyal de Lara, Daniyal Liaqat, Salaar Liaqat, Jun Lin Chen, Tanya Son, Andrea Gershon:
Feasibility of a wearable self-management application for patients with COPD at home: a pilot study. 66 - Junmo Kim, Min Hyuk Lim
, Kwangsoo Kim, Hyung-Jin Yoon:
Continual learning framework for a multicenter study with an application to electrocardiogram. 67 - Everett Neil Rush
, Özgür Özmen, Minsu Kim, Erin Rush Ortegon, Makoto Jones, Byung H. Park, Steven Pizer, Jodie Trafton, Lisa A. Brenner, Merry Ward, Jonathan R. Nebeker:
A framework for inferring and analyzing pharmacotherapy treatment patterns. 68 - Gillian Gorham
, Asanga Abeyaratne, Sam Heard, Liz Moore, Pratish George, Paul Kamler, Sandawana William Majoni, Winnie Chen
, Bhavya Balasubramanya, Mohammad Radwanur Talukder
, Sophie Pascoe
, Adam Whitehead, Cherian Sajiv, Louise Maple Brown, Nadarajah Kangaharan, Alan Cass:
Developing an integrated clinical decision support system for the early identification and management of kidney disease - building cross-sectoral partnerships. 69 - Gideon Kowadlo, Yoel Mittelberg, Milad Ghomlaghi, Daniel K. Stiglitz, Kartik Kishore, Ranjan Guha, Justin Nazareth, Laurence Weinberg:
Development and validation of 'Patient Optimizer' (POP) algorithms for predicting surgical risk with machine learning. 70 - Chung-Chih Lin, Ching-Tzu Yang, Pei-Ling Su, Jung-Ling Hsu, Yea-Ing L. Shyu, Wen-Chuin Hsu:
Implementation difficulties and solutions for a smart-clothes assisted home nursing care program for older adults with dementia or recovering from hip fracture. 71 - Ye-Jean Park, Abhinav Pillai, Jiawen Deng
, Eddie Guo, Mehul Gupta, Mike Paget, Christopher Naugler:
Assessing the research landscape and clinical utility of large language models: a scoping review. 72 - Aihua Li, Che Han, Xinzhu Xing, Qinyan Wei, Yuxue Chi, Fan Pu:
KGSCS - a smart care system for elderly with geriatric chronic diseases: a knowledge graph approach. 73 - Vahid Farrahi
, Paul J. Collings, Mourad Oussalah:
Deep learning of movement behavior profiles and their association with markers of cardiometabolic health. 74 - Yong Liu, Shenggen Ju, Junfeng Wang:
Exploring the potential of ChatGPT in medical dialogue summarization: a study on consistency with human preferences. 75 - Daniel Gallacher
:
SurvInt: a simple tool to obtain precise parametric survival extrapolations. 76 - Pei-Yu Dai
, Yu-Cheng Wu, Ruey-Kai Sheu
, Chieh-Liang Wu
, Shu-Fang Liu
, Pei-Yi Lin
, Wei-Lin Cheng, Guan-Yin Lin, Huang-Chien Chung, Lun-Chi Chen
:
An automated ICU agitation monitoring system for video streaming using deep learning classification. 77 - Inge S. van Strien-Knippenberg, Hannah Arjangi-Babetti, Daniëlle R. M. Timmermans, Laura Schrauwen, Mirjam P. Fransen, Marijke Melles
, Olga C. Damman:
Communicating the results of risk-based breast cancer screening through visualizations of risk: a participatory design approach. 78 - Joyce Siette
, Jonathan Guion, Kiran Ijaz
, Paul Strutt
, Meredith Porte, Greg Savage
, Debbie Richards
:
Development of a new computer simulated environment to screen cognition: assessing the feasibility and acceptability of Leaf Café in younger and older adults. 79 - Fabiano Papaiz, Mario Emílio Teixeira Dourado, Ricardo Alexsandro de Medeiros Valentim, Rafael Pinto, Antonio Higor Freire de Morais, Joel Perdiz Arrais:
Ensemble-imbalance-based classification for amyotrophic lateral sclerosis prognostic prediction: identifying short-survival patients at diagnosis. 80 - Yoo-Ri Koo, Eun-Jeong Kim
, Inn-Chul Nam:
Development of a communication platform for patients with head and neck cancer for effective information delivery and improvement of doctor-patient relationship: application of treatment journey-based service blueprint. 81 - Hang Lu, Yuxing Mao, Jinsen Li, Lin Zhu:
Multimodal deep learning-based diagnostic model for BPPV. 82 - Sukumpat Na Nan, Borwon Wittayachamnankul, Wachira Wongtanasarasin, Theerapon Tangsuwanaruk, Krongkarn Sutham, Orawit Thinnukool:
An Effective Methodology for Scoring to Assist Emergency Physicians in Identifying Overcrowding in an Academic Emergency Department in Thailand. 83 - Dongyang Che, Jinlin Hu, Jialiang Zhu, Jun Lyu
, Xiaoshen Zhang:
Development and validation of a nomogram for predicting in-hospital mortality in ICU patients with infective endocarditis. 84 - Seol Whan Oh, Seok-Soo Byun, Jung Kwon Kim, Chang Wook Jeong, Cheol Kwak, Eu Chang Hwang, Seokho Kang, Jinsoo Chung, Yong-June Kim, Yun-Sok Ha, Sung-Hoo Hong:
Machine learning models for predicting the onset of chronic kidney disease after surgery in patients with renal cell carcinoma. 85 - Oduse Samuel, Temesgen Zewotir, Delia North:
Application of machine learning methods for predicting under-five mortality: analysis of Nigerian demographic health survey 2018 dataset. 86 - Mehri Momeni
, Marziyeh Afkanpour, Saleh Rakhshani, Amin Mehrabian, Hamed Tabesh:
A prediction model based on artificial intelligence techniques for disintegration time and hardness of fast disintegrating tablets in pre-formulation tests. 88 - Áron Hölgyesi
, Zsombor Zrubka
, László Gulácsi
, Petra Baji
, Tamás Haidegger
, Miklós Kozlovszky
, Miklós Weszl
, Levente Kovács
, Márta Péntek
:
Robot-assisted surgery and artificial intelligence-based tumour diagnostics: social preferences with a representative cross-sectional survey. 87 - Gillian Gorham
, Asanga Abeyaratne, Sam Heard, Liz Moore, Pratish George, Paul Kamler, Sandawana William Majoni, Winnie Chen
, Bhavya Balasubramanya, Mohammad Radwanur Talukder
, Sophie Pascoe, Adam Whitehead, Cherian Sajiv, Louise Maple Brown, Nadarajah Kangaharan, Alan Cass:
Correction: Developing an integrated clinical decision support system for the early identification and management of kidney disease - building cross-sectoral partnerships. 89 - Samuel Cusworth, Georgios V. Gkoutos
, Animesh Acharjee
:
A novel generative adversarial networks modelling for the class imbalance problem in high dimensional omics data. 90 - Melaku Tadege
, Awoke Seyoum Tegegne, Zelalem G. Dessie
:
Post-surgery survival and associated factors for cardiac patients in Ethiopia: applications of machine learning, semi-parametric and parametric modelling. 91 - Chaitanya Kulkarni
, Aadam Quraishi, Mohan Raparthi
, Mohammad Shabaz, Muhammad Attique Khan, Raj A. Varma
, Ismail Keshta, Mukesh Soni, Haewon Byeon:
Hybrid disease prediction approach leveraging digital twin and metaverse technologies for health consumer. 92 - Patrizia Vizza, Federica Aracri, Pietro Hiram Guzzi, Marco Gaspari, Pierangelo Veltri, Giuseppe Tradigo:
Machine learning pipeline to analyze clinical and proteomics data: experiences on a prostate cancer case. 93 - Ke Wang, Kai Zhang, Banteng Liu, Wei Chen, Meng Han:
Early prediction of sudden cardiac death risk with Nested LSTM based on electrocardiogram sequential features. 94 - Catarina Martins, Bernardo Neves, Andreia Sofia Teixeira, Miguel Froes, Pedro Sarmento, Jaime Machado, Carlos A. Magalhães, Nuno A. Silva, Mário J. Silva, Francisca Pais Leite
:
Identifying subgroups in heart failure patients with multimorbidity by clustering and network analysis. 95 - Pinar Tokgöz
, Stephan Krayter
, Jessica Hafner
, Christoph Dockweiler
:
Decision support systems for antibiotic prescription in hospitals: a survey with hospital managers on factors for implementation. 96 - Parvaneh Darabi, Safoora Gharibzadeh
, Davood Khalili, Mehrdad Bagherpour-Kalo
, Leila Janani:
Optimizing cardiovascular disease mortality prediction: a super learner approach in the tehran lipid and glucose study. 97 - Diogo Nogueira-Leite
, Manuel Marques-Cruz
, Ricardo Cruz-Correia
:
Individuals' attitudes toward digital mental health apps and implications for adoption in Portugal: web-based survey. 99 - Matthijs Berkhout, Koen Smit, Johan Versendaal:
Decision discovery using clinical decision support system decision log data for supporting the nurse decision-making process. 100 - Yilin Xia, Yifei Duan, Leihao Sha, Wanlin Lai, Zhimeng Zhang, Jiaxin Hou, Lei Chen:
Whole-cycle management of women with epilepsy of child-bearing age: ontology construction and application. 101 - Smaranda Belciug:
Autonomous fetal morphology scan: deep learning + clustering merger - the second pair of eyes behind the doctor. 102 - Esmaeel Toni
, Haleh Ayatollahi
:
An insight into the use of telemedicine technology for cancer patients during the Covid-19 pandemic: a scoping review. 104 - Xubing Hao, Rashmie Abeysinghe, Fengbo Zheng, Paul E. Schulz, Licong Cui
:
Mapping of Alzheimer's disease related data elements and the NIH Common Data Elements. 103 - Kuang-Ming Kuo, Yih-Lon Lin, Chao-Sheng Chang, Tin Ju Kuo:
An ensemble model for predicting dispositions of emergency department patients. 105 - Jiaye Sun, Shijun Shao, Hua Wan, Xueqing Wu, Jiamei Feng, Qingqian Gao, Wenchao Qu, Lu Xie:
Prediction models for postoperative recurrence of non-lactating mastitis based on machine learning. 106 - Vittorio Torri
, Michele Ercolanoni, Francesco Bortolan, Olivia Leoni, Francesca Ieva:
A NLP-based semi-automatic identification system for delays in follow-up examinations: an Italian case study on clinical referrals. 107 - Xinyu Li, Nan Zhang, Juan Yang, Zhaohui Geng, Jie Zhou, Jinyu Zhang:
Weight management personas of breast cancer patients undergoing chemotherapy in China: a multi-method study. 108 - Jonathan Fior
:
INNBC DApp, a decentralized application to permanently store biomedical data on a modern, proof-of-stake (POS), blockchain such as BNB Smart Chain. 109 - Zengjing Liu, Zhihao Meng, Di Wei, Yuan Qin, Yu Lv, Luman Xie, Hong Qiu, Bo Xie, Lanxiang Li,