Ausgabe 1/2024
Inhalt (123 Artikel)
A validation of an entropy-based artificial intelligence for ultrasound data in breast tumors
Zhibin Huang, Keen Yang, Hongtian Tian, Huaiyu Wu, Shuzhen Tang, Chen Cui, Siyuan Shi, Yitao Jiang, Jing Chen, Jinfeng Xu, Fajin Dong
Multiple machine-learning tools identifying prognostic biomarkers for acute Myeloid Leukemia
Yujing Cheng, Xin Yang, Ying Wang, Qi Li, Wanlu Chen, Run Dai, Chan Zhang
Deep learning prediction of esophageal squamous cell carcinoma invasion depth from arterial phase enhanced CT images: a binary classification approach
Xiaoli Wu, Hao Wu, Shouliang Miao, Guoquan Cao, Huang Su, Jie Pan, Yilun Xu
Adolescent, parent, and provider attitudes toward a machine learning based clinical decision support system for selecting treatment for youth depression
Meredith Gunlicks-Stoessel, Yangchenchen Liu, Catherine Parkhill, Nicole Morrell, Mimi Choy-Brown, Christopher Mehus, Joel Hetler, Gerald August
Multi-criteria decision making to validate performance of RBC-based formulae to screen -thalassemia trait in heterogeneous haemoglobinopathies
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
Effectiveness of mobile application interventions for stroke survivors: systematic review and meta-analysis
Wenjing Cao, Azidah Abdul Kadir, Wenzhen Tang, Juan Wang, Jiamu Yuan, Intan Idiana Hassan
Development and evaluation of regression tree models for predicting in-hospital mortality of a national registry of COVID-19 patients over six pandemic surges
M. C. Schut, D. A. Dongelmans, D. W. de Lange, S. 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, A. Draisma, D. J. Versluis, A. E. van den Berg, M. Vrolijk-de Mos, J. A. Lens, R. V. Pruijsten, H. Kieft, J. Rozendaal, F. Nooteboom, D. P. Boer, I. T. A. Janssen, L. van Gulik, M. P. Koetsier, V. M. Silderhuis, R. M. Schnabel, I. Drogt, W. de Ruijter, R. J. Bosman, T. Frenzel, L. 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, P. H. J. van der Voort, B. J. W. Eikemans, D. Mehagnoul-Schipper, D. Gommers, J. G. Lutisan, M. Hoeksema, M. G. W. Barnas, B. Festen-Spanjer, M. van Lieshout, N. C. Gritters, M. van Tellingen, G. B. Brunnekreef, J. Vandeputte, T. P. J. Dormans, M. E. Hoogendoorn, M. de Graaff, D. Moolenaar, A. C. Reidinga, J. J. Spijkstra, R. de Waal, D. Ramnarain, D. W. de Lange, D. A. Dongelmans, N. F. de Keizer, A. Abu-Hanna
Machine learning algorithms for the prediction of adverse prognosis in patients undergoing peritoneal dialysis
Jie Yang, Jingfang Wan, Lei Feng, Shihui Hou, Kaizhen Yv, Liang Xu, Kehong Chen
“VR is the future”: perspectives of healthcare professionals on virtual reality as a diagnostic tool for dementia status in primary care
Joshua Yondjo, Joyce Siette
A patient safety knowledge graph supporting vaccine product development
Andrew M. Simms, Anshul Kanakia, Muhammad Sipra, Bhaskar Dutta, Noel Southall
Prediction of postoperative infectious complications in elderly patients with colorectal cancer: a study based on improved machine learning
Yuan Tian, Rui Li, Guanlong Wang, Kai Xu, Hongxia Li, Lei He
Dirichlet process mixture models to impute missing predictor data in counterfactual prediction models: an application to predict optimal type 2 diabetes therapy
Pedro Cardoso, John M. Dennis, Jack Bowden, Beverley M. Shields, Trevelyan J. McKinley
Artificial intelligence performance in detecting lymphoma from medical imaging: a systematic review and meta-analysis
Anying Bai, Mingyu Si, Peng Xue, Yimin Qu, Yu Jiang
A command centre implementation before and during the COVID-19 pandemic in a community hospital
Liza Grosman-Rimon, Pete Wegier, Ruben Rodriguez, Jane Casey, Susan Tory, Jhanvi Solanki, Barbara E. Collins
Hybrid architecture based intelligent diagnosis assistant for GP
Ruibin Wang, Kavisha Jayathunge, Rupert Page, Hailing Li, Jian Jun Zhang, Xiaosong Yang
Automated machine learning for early prediction of acute kidney injury in acute pancreatitis
Rufa Zhang, Minyue Yin, Anqi Jiang, Shihou Zhang, Xiaodan Xu, Luojie Liu
Heart failure classification using deep learning to extract spatiotemporal features from ECG
Chang-Jiang Zhang, Yuan-Lu, Fu-Qin Tang, Hai-Peng Cai, Yin-Fen Qian, Chao-Wang
Development and application of Chinese medical ontology for diabetes mellitus
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
Hybrid-FHR: a multi-modal AI approach for automated fetal acidosis diagnosis
Zhidong Zhao, Jiawei Zhu, Pengfei Jiao, Jinpeng Wang, Xiaohong Zhang, Xinmiao Lu, Yefei Zhang
Temporal topic model for clinical pathway mining from electronic medical records
Wei Li, Xin Min, Panpan Ye, Weidong Xie, Dazhe Zhao
Only the anxious ones? Identifying characteristics of symptom checker app users: a cross-sectional survey
Anna-Jasmin Wetzel, Malte Klemmt, Regina Müller, Monika A. Rieger, Stefanie Joos, Roland Koch
Participant characteristics and reasons for non-consent to health information linkage for research: experiences from the ATHENA COVID-19 study
Kim Greaves, Amanda King, Zoltan Bourne, Jennifer Welsh, Mark Morgan, M. Ximena Tolosa, Carissa Bonner, Tony Stanton, Michael Fryer, Rosemary Korda
Improved prostate cancer diagnosis using a modified ResNet50-based deep learning architecture
Fatma M. Talaat, Shaker El-Sappagh, Khaled Alnowaiser, Esraa Hassan
Building gender-specific sexually transmitted infection risk prediction models using CatBoost algorithm and NHANES data
Mengjie Hu, Han Peng, Xuan Zhang, Lefeng Wang, Jingjing Ren
Development of a generative deep learning model to improve epiretinal membrane detection in fundus photography
Joon Yul Choi, Ik Hee Ryu, Jin Kuk Kim, In Sik Lee, Tae Keun Yoo
Application of machine learning models on predicting the length of hospital stay in fragility fracture patients
Chun-Hei Lai, Prudence Kwan-Lam Mok, Wai-Wang Chau, Sheung-Wai Law
Comparative assessment of synthetic time series generation approaches in healthcare: leveraging patient metadata for accurate data synthesis
Imanol Isasa, Mikel Hernandez, Gorka Epelde, Francisco Londoño, Andoni Beristain, Xabat Larrea, Ane Alberdi, Panagiotis Bamidis, Evdokimos Konstantinidis
Development of a mobile application to represent food intake in inpatients: dietary data systematization
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
O2 supplementation disambiguation in clinical narratives to support retrospective COVID-19 studies
Akhila Abdulnazar, Amila Kugic, Stefan Schulz, Vanessa Stadlbauer, Markus Kreuzthaler
An evaluation of GPT models for phenotype concept recognition
Tudor Groza, Harry Caufield, Dylan Gration, Gareth Baynam, Melissa A. Haendel, Peter N. Robinson, Christopher J. Mungall, Justin T. Reese
The development of evaluation scale of the patient satisfaction with telemedicine: a systematic review
Yifei Du, Yu Gu
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
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
The validity of electronic health data for measuring smoking status: a systematic review and meta-analysis
Md Ashiqul Haque, Muditha Lakmali Bodawatte Gedara, Nathan Nickel, Maxime Turgeon, Lisa M. Lix
Susceptibility of AutoML mortality prediction algorithms to model drift caused by the COVID pandemic
Simone Maria Kagerbauer, Bernhard Ulm, Armin Horst Podtschaske, Dimislav Ivanov Andonov, Manfred Blobner, Bettina Jungwirth, Martin Graessner
Acute kidney injury comorbidity analysis based on international classification of diseases-10 codes
Menglu Wang, Guangjian Liu, Zhennan Ni, Qianjun Yang, Xiaojun Li, Zhisheng Bi
Machine learning based biomarker discovery for chronic kidney disease–mineral and bone disorder (CKD-MBD)
Yuting Li, Yukuan Lou, Man Liu, Siyi Chen, Peng Tan, Xiang Li, Huaixin Sun, Weixin Kong, Suhua Zhang, Xiang Shao
A reliable diabetic retinopathy grading via transfer learning and ensemble learning with quadratic weighted kappa metric
Sai Venkatesh Chilukoti, Liqun Shan, Vijay Srinivas Tida, Anthony S. Maida, Xiali Hei
Prediction the prognosis of the poisoned patients undergoing hemodialysis using machine learning algorithms
Mitra Rahimi, Mohammad Reza Afrash, Shahin Shadnia, Babak Mostafazadeh, Peyman Erfan Talab Evini, Mohadeseh Sarbaz Bardsiri, Maral Ramezani
Establishment of a risk prediction model for bowel necrosis in patients with incarcerated inguinal hernia
Jiajie Zhou, Xiaoming Yuan
Exploring the performance and explainability of fine-tuned BERT models for neuroradiology protocol assignment
Salmonn Talebi, Elizabeth Tong, Anna Li, Ghiam Yamin, Greg Zaharchuk, Mohammad R. K. Mofrad
Choice of refractive surgery types for myopia assisted by machine learning based on doctors’ surgical selection data
Jiajing Li, Yuanyuan Dai, Zhicheng Mu, Zhonghai Wang, Juan Meng, Tao Meng, Jimin Wang
Prediction of emergency department revisits among child and youth mental health outpatients using deep learning techniques
Simran Saggu, Hirad Daneshvar, Reza Samavi, Paulo Pires, Roberto B. Sassi, Thomas E. Doyle, Judy Zhao, Ahmad Mauluddin, Laura Duncan
Prediction of Sjögren’s disease diagnosis using matched electronic dental-health record data
Jason Mao, Grace Gomez Felix Gomez, Mei Wang, Huiping Xu, Thankam P. Thyvalikakath
Usability and feasibility analysis of an mHealth-tool for supporting physical activity in people with heart failure
Andreas Blomqvist, Maria Bäck, Leonie Klompstra, Anna Strömberg, Tiny Jaarsma
DeepVAQ : an adaptive deep learning for prediction of vascular access quality in hemodialysis patients
Sarayut Julkaew, Thakerng Wongsirichot, Kasikrit Damkliang, Pornpen Sangthawan
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
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
Data resource profile of an online database system for forensic mental health services
Junko Koike, Toshiaki Kono, Koji Takeda, Yuji Yamada, Chiyo Fujii, Naotsugu Hirabayashi
Development of a predictive machine learning model for pathogen profiles in patients with secondary immunodeficiency
Qianning Liu, Yifan Chen, Peng Xie, Ying Luo, Buxuan Wang, Yuanxi Meng, Jiaqian Zhong, Jiaqi Mei, Wei Zou
Dimension reduction and outlier detection of 3-D shapes derived from multi-organ CT images
Michael Selle, Magdalena Kircher, Cornelia Schwennen, Christian Visscher, Klaus Jung
InsightSleepNet: the interpretable and uncertainty-aware deep learning network for sleep staging using continuous Photoplethysmography
Borum Nam, Beomjun Bark, Jeyeon Lee, In Young Kim
Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcare
Lin Lawrence Guo, Keith E. Morse, Catherine Aftandilian, Ethan Steinberg, Jason Fries, Jose Posada, Scott Lanyon Fleming, Joshua Lemmon, Karim Jessa, Nigam Shah, Lillian Sung
Which risk factor best predicts coronary artery disease using artificial neural network method?
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
Enhancing heart failure treatment decisions: interpretable machine learning models for advanced therapy eligibility prediction using EHR data
Yufeng Zhang, Jessica R. Golbus, Emily Wittrup, Keith D. Aaronson, Kayvan Najarian
Automatic de-identification of French electronic health records: a cost-effective approach exploiting distant supervision and deep learning models
Mohamed El Azzouzi, Gouenou Coatrieux, Reda Bellafqira, Denis Delamarre, Christine Riou, Naima Oubenali, Sandie Cabon, Marc Cuggia, Guillaume Bouzillé
Exploring the potential of ChatGPT as an adjunct for generating diagnosis based on chief complaint and cone beam CT radiologic findings
Yanni Hu, Ziyang Hu, Wenjing Liu, Antian Gao, Shanhui Wen, Shu Liu, Zitong Lin
Correction: Susceptibility of AutoML mortality prediction algorithms to model drift caused by the COVID pandemic
Simone Maria Kagerbauer, Bernhard Ulm, Armin Horst Podtschaske, Dimislav Ivanov Andonov, Manfred Blobner, Bettina Jungwirth, Martin Graessner
A novel estimator for the two-way partial AUC
Elias Chaibub Neto, Vijay Yadav, Solveig K. Sieberts, Larsson Omberg
Conceptual design of a generic data harmonization process for OMOP common data model
Elisa Henke, Michele Zoch, Yuan Peng, Ines Reinecke, Martin Sedlmayr, Franziska Bathelt
Effect of early serum phosphate disorder on in-hospital and 28-day mortality in sepsis patients: a retrospective study based on MIMIC-IV database
Yinghao Luo, Yahui Peng, Yujia Tang, Pengfei Huang, Qianqian Zhang, Chunying Wang, Weiting Zhang, Jing Zhou, Longyu Liang, YuXin Zhang, Kaijiang Yu, Changsong Wang
A comparative study of CNN-capsule-net, CNN-transformer encoder, and Traditional machine learning algorithms to classify epileptic seizure
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
Seasonally adjusted laboratory reference intervals to improve the performance of machine learning models for classification of cardiovascular diseases
Victorine P. Muse, Davide Placido, Amalie D. Haue, Søren Brunak
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
Hayley Dunnack Yackel, Barbara Halpenny, Janet L. Abrahm, Jennifer Ligibel, Andrea Enzinger, David F. Lobach, Mary E. Cooley
Identification of health-related problems in youth: a mixed methods feasibility study evaluating the Youth Health Report System
Petra V. Lostelius, Catharina Gustavsson, Eva Thors Adolfsson, Anne Söderlund, Åsa Revenäs, Ann-Britt Zakrisson, Magdalena Mattebo
MMIR: an open-source software for the registration of multimodal histological images
Rodrigo Escobar Díaz Guerrero, José Luis Oliveira, Juergen Popp, Thomas Bocklitz
Feasibility of a wearable self-management application for patients with COPD at home: a pilot study
Robert Wu, Eyal de Lara, Daniyal Liaqat, Salaar Liaqat, Jun Lin Chen, Tanya Son, Andrea S. Gershon
Continual learning framework for a multicenter study with an application to electrocardiogram
Junmo Kim, Min Hyuk Lim, Kwangsoo Kim, Hyung-Jin Yoon
A framework for inferring and analyzing pharmacotherapy treatment patterns
Everett Rush, Ozgur Ozmen, Minsu Kim, Erin Rush Ortegon, Makoto Jones, Byung H. Park, Steven Pizer, Jodie Trafton, Lisa A. Brenner, Merry Ward, Jonathan R. Nebeker
Developing an integrated clinical decision support system for the early identification and management of kidney disease—building cross-sectoral partnerships
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
Development and validation of ‘Patient Optimizer’ (POP) algorithms for predicting surgical risk with machine learning
Gideon Kowadlo, Yoel Mittelberg, Milad Ghomlaghi, Daniel K. Stiglitz, Kartik Kishore, Ranjan Guha, Justin Nazareth, Laurence Weinberg
Implementation difficulties and solutions for a smart-clothes assisted home nursing care program for older adults with dementia or recovering from hip fracture
Chung-Chih Lin, Ching-Tzu Yang, Pei-Ling Su, Jung-Ling Hsu, Yea-Ing L. Shyu, Wen-Chuin Hsu
Assessing the research landscape and clinical utility of large language models: a scoping review
Ye-Jean Park, Abhinav Pillai, Jiawen Deng, Eddie Guo, Mehul Gupta, Mike Paget, Christopher Naugler
KGSCS—a smart care system for elderly with geriatric chronic diseases: a knowledge graph approach
Aihua Li, Che Han, Xinzhu Xing, Qinyan Wei, Yuxue Chi, Fan Pu
Deep learning of movement behavior profiles and their association with markers of cardiometabolic health
Vahid Farrahi, Paul J Collings, Mourad Oussalah
Exploring the potential of ChatGPT in medical dialogue summarization: a study on consistency with human preferences
Yong Liu, Shenggen Ju, Junfeng Wang
SurvInt: a simple tool to obtain precise parametric survival extrapolations
Daniel Gallacher
An automated ICU agitation monitoring system for video streaming using deep learning classification
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
Communicating the results of risk-based breast cancer screening through visualizations of risk: a participatory design approach
Inge S. van Strien-Knippenberg, Hannah Arjangi-Babetti, Danielle R. M. Timmermans, Laura Schrauwen, Mirjam P. Fransen, Marijke Melles, Olga C. Damman
Development of a new computer simulated environment to screen cognition: assessing the feasibility and acceptability of Leaf Café in younger and older adults
Joyce Siette, Jonathan Guion, Kiran Ijaz, Paul Strutt, Meredith Porte, Greg Savage, Deborah Richards
Ensemble-imbalance-based classification for amyotrophic lateral sclerosis prognostic prediction: identifying short-survival patients at diagnosis
Fabiano Papaiz, Mario Emílio Teixeira Dourado Jr., Ricardo Alexsandro de Medeiros Valentim, Rafael Pinto, Antônio Higor Freire de Morais, Joel Perdiz Arrais
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
Yoo-Ri Koo, Eun-Jeong Kim, Inn-Chul Nam
Multimodal deep learning-based diagnostic model for BPPV
Hang Lu, Yuxing Mao, Jinsen Li, Lin Zhu
An Effective Methodology for Scoring to Assist Emergency Physicians in Identifying Overcrowding in an Academic Emergency Department in Thailand
Sukumpat Na Nan, Borwon Wittayachamnankul, Wachira Wongtanasarasin, Theerapon Tangsuwanaruk, Krongkarn Sutham, Orawit Thinnukool
Development and validation of a nomogram for predicting in-hospital mortality in ICU patients with infective endocarditis
Dongyang Che, Jinlin Hu, Jialiang Zhu, Jun Lyu, Xiaoshen Zhang
Machine learning models for predicting the onset of chronic kidney disease after surgery in patients with renal cell carcinoma
Seol Whan Oh, Seok-Soo Byun, Jung Kwon Kim, Chang Wook Jeong, Cheol Kwak, Eu Chang Hwang, Seok Ho Kang, Jinsoo Chung, Yong-June Kim, Yun-Sok Ha, Sung-Hoo Hong
Application of machine learning methods for predicting under-five mortality: analysis of Nigerian demographic health survey 2018 dataset
Oduse Samuel, Temesgen Zewotir, Delia North
Robot-assisted surgery and artificial intelligence-based tumour diagnostics: social preferences with a representative cross-sectional survey
Áron Hölgyesi, Zsombor Zrubka, László Gulácsi, Petra Baji, Tamás Haidegger, Miklós Kozlovszky, Miklós Weszl, Levente Kovács, Márta Péntek
A prediction model based on artificial intelligence techniques for disintegration time and hardness of fast disintegrating tablets in pre-formulation tests
Mehri Momeni, Marziyeh Afkanpour, Saleh Rakhshani, Amin Mehrabian, Hamed Tabesh
Correction: Developing an integrated clinical decision support system for the early identification and management of kidney disease—building cross-sectoral partnerships
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
A novel generative adversarial networks modelling for the class imbalance problem in high dimensional omics data
Samuel Cusworth, Georgios V. Gkoutos, Animesh Acharjee
Post-surgery survival and associated factors for cardiac patients in Ethiopia: applications of machine learning, semi-parametric and parametric modelling
Melaku Tadege, Awoke Seyoum Tegegne, Zelalem G. Dessie
Hybrid disease prediction approach leveraging digital twin and metaverse technologies for health consumer
Chaitanya Kulkarni, Aadam Quraishi, Mohan Raparthi, Mohammad Shabaz, Muhammad Attique Khan, Raj A. Varma, Ismail Keshta, Mukesh Soni, Haewon Byeon
Machine learning pipeline to analyze clinical and proteomics data: experiences on a prostate cancer case
Patrizia Vizza, Federica Aracri, Pietro Hiram Guzzi, Marco Gaspari, Pierangelo Veltri, Giuseppe Tradigo
Early prediction of sudden cardiac death risk with Nested LSTM based on electrocardiogram sequential features
Ke Wang, Kai Zhang, Banteng Liu, Wei Chen, Meng Han
Identifying subgroups in heart failure patients with multimorbidity by clustering and network analysis
Catarina Martins, Bernardo Neves, Andreia Sofia Teixeira, Miguel Froes, Pedro Sarmento, Jaime Machado, Carlos A. Magalhães, Nuno A. Silva, Mário J. Silva, Francisca Leite
Decision support systems for antibiotic prescription in hospitals: a survey with hospital managers on factors for implementation
Pinar Tokgöz, Stephan Krayter, Jessica Hafner, Christoph Dockweiler
Optimizing cardiovascular disease mortality prediction: a super learner approach in the tehran lipid and glucose study
Parvaneh Darabi, Safoora Gharibzadeh, Davood Khalili, Mehrdad Bagherpour-Kalo, Leila Janani
Individuals’ attitudes toward digital mental health apps and implications for adoption in Portugal: web-based survey
Diogo Nogueira-Leite, Manuel Marques-Cruz, Ricardo Cruz-Correia
Decision discovery using clinical decision support system decision log data for supporting the nurse decision-making process
Matthijs Berkhout, Koen Smit, Johan Versendaal
Whole-cycle management of women with epilepsy of child-bearing age: ontology construction and application
Yilin Xia, Yifei Duan, Leihao Sha, Wanlin Lai, Zhimeng Zhang, Jiaxin Hou, Lei Chen
Autonomous fetal morphology scan: deep learning + clustering merger – the second pair of eyes behind the doctor
Smaranda Belciug
An insight into the use of telemedicine technology for cancer patients during the Covid-19 pandemic: a scoping review
Esmaeel Toni, Haleh Ayatollahi
An ensemble model for predicting dispositions of emergency department patients
Kuang-Ming Kuo, Yih-Lon Lin, Chao Sheng Chang, Tin Ju Kuo
Prediction models for postoperative recurrence of non-lactating mastitis based on machine learning
Jiaye Sun, Shijun Shao, Hua Wan, Xueqing Wu, Jiamei Feng, Qingqian Gao, Wenchao Qu, Lu Xie
A NLP-based semi-automatic identification system for delays in follow-up examinations: an Italian case study on clinical referrals
Vittorio Torri, Michele Ercolanoni, Francesco Bortolan, Olivia Leoni, Francesca Ieva
Weight management personas of breast cancer patients undergoing chemotherapy in China: a multi-method study
Xinyu Li, Nan Zhang, Juan Yang, Zhaohui Geng, Jie Zhou, Jinyu Zhang
Predictive model and risk analysis for coronary heart disease in people living with HIV using machine learning
Zengjing Liu, Zhihao Meng, Di Wei, Yuan Qin, Yu Lv, Luman Xie, Hong Qiu, Bo Xie, Lanxiang Li, Xihua Wei, Die Zhang, Boying Liang, Wen Li, Shanfang Qin, Tengyue Yan, Qiuxia Meng, Huilin Wei, Guiyang Jiang, Lingsong Su, Nili Jiang, Kai Zhang, Jiannan Lv, Yanling Hu
From algorithms to action: improving patient care requires causality
Wouter A. C. van Amsterdam, Pim A. de Jong, Joost J. C. Verhoeff, Tim Leiner, Rajesh Ranganath
Healthcare insurance fraud detection using data mining
Zain Hamid, Fatima Khalique, Saba Mahmood, Ali Daud, Amal Bukhari, Bader Alshemaimri
Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering
A. M. J. Zubair Rahman, Muskan Gupta, S. Aarathi, T. R. Mahesh, V. Vinoth Kumar, S. Yogesh Kumaran, Suresh Guluwadi
A hybrid framework for glaucoma detection through federated machine learning and deep learning models
Abeer Aljohani, Rua Y. Aburasain
Exploring machine learning strategies for predicting cardiovascular disease risk factors from multi-omic data
Gabin Drouard, Juha Mykkänen, Jarkko Heiskanen, Joona Pohjonen, Saku Ruohonen, Katja Pahkala, Terho Lehtimäki, Xiaoling Wang, Miina Ollikainen, Samuli Ripatti, Matti Pirinen, Olli Raitakari, Jaakko Kaprio
Continuous patient state attention model for addressing irregularity in electronic health records
Vinod Kumar Chauhan, Anshul Thakur, Odhran O’Donoghue, Omid Rohanian, Soheila Molaei, David A. Clifton
Enhancing pneumonia prognosis in the emergency department: a novel machine learning approach using complete blood count and differential leukocyte count combined with CURB-65 score
Yin-Ting Lin, Ko-Ming Lin, Kai-Hsiang Wu, Frank Lien
Machine learning-empowered sleep staging classification using multi-modality signals
Santosh Kumar Satapathy, Biswajit Brahma, Baidyanath Panda, Paolo Barsocchi, Akash Kumar Bhoi
Improved nonparametric survival prediction using CoxPH, Random Survival Forest & DeepHit Neural Network
Naseem Asghar, Umair Khalil, Basheer Ahmad, Huda M. Alshanbari, Muhammad Hamraz, Bakhtiyar Ahmad, Dost Muhammad Khan
Colorectal cancer health and care quality indicators in a federated setting using the Personal Health Train
Ananya Choudhury, Esther Janssen, Bart C. Bongers, Nico L. U. van Meeteren, Andre Dekker, Johan van Soest
Protein sequence analysis in the context of drug repurposing
Natalia García Sánchez, Esther Ugarte Carro, Lucía Prieto-Santamaría, Alejandro Rodríguez-González
Prediction of carbapenem-resistant gram-negative bacterial bloodstream infection in intensive care unit based on machine learning
Qiqiang Liang, Shuo Ding, Juan Chen, Xinyi Chen, Yongshan Xu, Zhijiang Xu, Man Huang
Optimizing deep learning-based segmentation of densely packed cells using cell surface markers
Sunwoo Han, Khamsone Phasouk, Jia Zhu, Youyi Fong
Evaluation of activities of daily living using an electronic version of the Longshi Scale in patients with stroke: reliability, consistency, and preference
Kaiwen Xue, Weihao Li, Fang Liu, Xiangxiang Liu, John Wong, Mingchao Zhou, Chunli Cai, Jianjun Long, Jiehui Li, Zeyu Zhang, Weilin Hou, Guohui Nie, Yulong Wang
BarlowTwins-CXR: enhancing chest X-ray abnormality localization in heterogeneous data with cross-domain self-supervised learning
Haoyue Sheng, Linrui Ma, Jean-François Samson, Dianbo Liu
al-BERT: a semi-supervised denoising technique for disease prediction
Yun-Chien Tseng, Chuan-Wei Kuo, Wen-Chih Peng, Chih-Chieh Hung