This paper is in the following e-collection/theme issue:

Digital Health Reporting Standards, Quality and Transparency in e-Research (71) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (832) Big Data (240) Advanced Data Analytics in eHealth (133)

Published on in Vol 18, No 12 (2016): December

Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View

Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View

Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View

Authors of this article:

Wei Luo1 Author Orcid Image ;   Dinh Phung2 Author Orcid Image ;   Truyen Tran2 Author Orcid Image ;   Sunil Gupta2 Author Orcid Image ;   Santu Rana2 Author Orcid Image ;   Chandan Karmakar2 Author Orcid Image ;   Alistair Shilton2 Author Orcid Image ;   John Yearwood2 Author Orcid Image ;   Nevenka Dimitrova3 Author Orcid Image ;   Tu Bao Ho4 Author Orcid Image ;   Svetha Venkatesh2 Author Orcid Image ;   Michael Berk2 Author Orcid Image
Article Authors Cited by (632) Tweetations (147) Metrics

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  543. Herrera C, Gimenes F, Herrera J, Cavalli R. Development of Automated Triggers in Ambulatory Settings in Brazil: Protocol for a Machine Learning–Based Design Thinking Study. JMIR Research Protocols 2024;13:e55466 View
  544. Malik S, Tenorio B, Moond V, Dahiya D, Vora R, Dbouk N. Systematic review of machine learning models in predicting the risk of bleed/grade of esophageal varices in patients with liver cirrhosis: A comprehensive methodological analysis. Journal of Gastroenterology and Hepatology 2024;39(10):2043 View
  545. Kaur K. Artificial intelligence in robo dentistry: A double-edged sword. Journal of Oral Medicine, Oral Surgery, Oral Pathology and Oral Radiology 2024;10(2):88 View
  546. Zhai X, Chen M. Accelerated Design for Perovskite-Oxide-Based Photocatalysts Using Machine Learning Techniques. Materials 2024;17(12):3026 View
  547. Tariq R, Malik S, Redij R, Arunachalam S, Faubion W, Khanna S. Machine Learning-Based Prediction Models for Clostridioides difficile Infection: A Systematic Review. Clinical and Translational Gastroenterology 2024;15(6):e1 View
  548. Okada M, Katsuki M, Shimazu T, Takeshima T, Mitsufuji T, Ito Y, Ohbayashi K, Imai N, Miyahara J, Matsumori Y, Nakazato Y, Fujita K, Hoshino E, Yamamoto T. Preliminary External Validation Results of the Artificial Intelligence-Based Headache Diagnostic Model: A Multicenter Prospective Observational Study. Life 2024;14(6):744 View
  549. Zhu Y, Deng X, Zhang X, Tian L, Cui C, Lei F, Xu G, Li H, Liu L, Ma H. Predicting distant metastasis in nasopharyngeal carcinoma using gradient boosting tree model based on detailed magnetic resonance imaging reports. World Journal of Radiology 2024;16(6):203 View
  550. Ghasemi A, Hashtarkhani S, Schwartz D, Shaban‐Nejad A. Explainable artificial intelligence in breast cancer detection and risk prediction: A systematic scoping review. Cancer Innovation 2024;3(5) View
  551. Tahhan Z, Hatem G, Abouelmaty A, Rafei Z, Awada S. Design and validation of an artificial intelligence-powered instrument for the assessment of migraine risk in university students in Lebanon. Computers in Human Behavior Reports 2024;15:100453 View
  552. Cho Y, Yoon M, Kim J, Lee J, Oh I, Lee C, Kang S, Choi D. Artificial Intelligence–Based Electrocardiographic Biomarker for Outcome Prediction in Patients With Acute Heart Failure: Prospective Cohort Study. Journal of Medical Internet Research 2024;26:e52139 View
  553. Yu D, Kane M, Koay E, Wistuba I, Hobbs B. Machine learning identifies prognostic subtypes of the tumor microenvironment of NSCLC. Scientific Reports 2024;14(1) View
  554. Deo N, Nawaz F, du Toit C, Tran T, Mamillapalli C, Mathur P, Reddy S, Visweswaran S, Prabhu T, Moidu K, Padmanabhan S, Kashyap R. HUMANE: Harmonious Understanding of Machine Learning Analytics Network—global consensus for research on artificial intelligence in medicine. Exploration of Digital Health Technologies 2024;2(3):157 View
  555. Pawuś D, Porażko T, Paszkiel S. Automation and Decision Support in the Area of Nephrology Using Numerical Algorithms, Artificial Intelligence, and Expert Approach: Review of the Current State of Knowledge. IEEE Access 2024;12:86043 View
  556. Karabacak M, Jagtiani P, Di L, Shah A, Komotar R, Margetis K. Advancing precision prognostication in neuro-oncology: Machine learning models for data-driven personalized survival predictions in IDH-wildtype glioblastoma. Neuro-Oncology Advances 2024;6(1) View
  557. Zhao S, Zhou H, He M. Considerations regarding a prediction model of surgical site infection after gastrointestinal surgery. International Journal of Surgery 2024 View
  558. Vieta E, Salagre E, Grande I, Carvalho A, Fernandes B, Berk M, Birmaher B, Tohen M, Suppes T. Early Intervention in Bipolar Disorder. American Journal of Psychiatry 2018;175(5):411 View
  559. Cao S, Yang S, Chen B, Chen X, Fu X, Tang S. Establishing a differential diagnosis model between primary membranous nephropathy and non-primary membranous nephropathy by machine learning algorithms. Renal Failure 2024;46(2) View
  560. Endo Y, Tsilimigras D, Munir M, Woldesenbet S, Guglielmi A, Ratti F, Marques H, Cauchy F, Lam V, Poultsides G, Kitago M, Alexandrescu S, Popescu I, Martel G, Gleisner A, Hugh T, Aldrighetti L, Shen F, Endo I, Pawlik T. Machine learning models including preoperative and postoperative albumin-bilirubin score: short-term outcomes among patients with hepatocellular carcinoma. HPB 2024;26(11):1369 View
  561. Cai Y, Gong D, Tang L, Cai Y, Li H, Jing T, Gong M, Hu W, Zhang Z, Zhang X, Zhang G. Pitfalls in Developing Machine Learning Models for Predicting Cardiovascular Diseases: Challenge and Solutions. Journal of Medical Internet Research 2024;26:e47645 View
  562. Li Q, Li P, Chen J, Ren R, Ren N, Xia Y. Machine Learning for Predicting Stillbirth: A Systematic Review. Reproductive Sciences 2024 View
  563. Boubekri A, Murphy M, Scheidt M, Shivdasani K, Anderson J, Garbis N, Salazar D. Artificial Intelligence Machine Learning Algorithms Versus Standard Linear Demographic Analysis in Predicting Implant Size of Anatomic and Reverse Total Shoulder Arthroplasty. JAAOS: Global Research and Reviews 2024;8(8) View
  564. Vachon J, Kerckhoffs J, Buteau S, Smargiassi A. Do machine learning methods improve prediction of ambient air pollutants with high spatial contrast? A systematic review. Environmental Research 2024;262:119751 View
  565. Stubberud A, Langseth H, Nachev P, Matharu M, Tronvik E. Artificial intelligence and headache. Cephalalgia 2024;44(8) View
  566. Hornung A, Rudisill S, Smith S, Streepy J, Simcock X. Can Machine Learning Identify Patients Who are Appropriate for Outpatient Open Reduction and Internal Fixation of Distal Radius Fractures?. Journal of Hand Surgery Global Online 2024;6(6):808 View
  567. Kong F, Zou Y, Li Z, Deng Y. Advances in Portable and Wearable Acoustic Sensing Devices for Human Health Monitoring. Sensors 2024;24(16):5354 View
  568. Iwagami M, Inokuchi R, Kawakami E, Yamada T, Goto A, Kuno T, Hashimoto Y, Michihata N, Goto T, Shinozaki T, Sun Y, Taniguchi Y, Komiyama J, Uda K, Abe T, Tamiya N, Penzel T. Comparison of machine-learning and logistic regression models for prediction of 30-day unplanned readmission in electronic health records: A development and validation study. PLOS Digital Health 2024;3(8):e0000578 View
  569. Szumilas D, Ochmann A, Zięba K, Bartoszewicz B, Kubrak A, Makuch S, Agrawal S, Mazur G, Chudek J. Evaluation of AI-Driven LabTest Checker for Diagnostic Accuracy and Safety: Prospective Cohort Study. JMIR Medical Informatics 2024;12:e57162 View
  570. Zhang T, Ye Z, Cai J, Chen J, Zheng T, Xu J, Zhao J. Ensemble Algorithm for Risk Prediction of Clinical Failure After Anterior Cruciate Ligament Reconstruction. Orthopaedic Journal of Sports Medicine 2024;12(8) View
  571. Ojha T, Patel A, Sivapragasam K, Sharma R, Vosoughi T, Skidmore B, Pinto A, Hosseini B. Exploring Machine Learning Applications in Pediatric Asthma Management: Scoping Review. JMIR AI 2024;3:e57983 View
  572. Oeding J, Boos A, Kalk J, Sorenson D, Verhooven F, Moatshe G, Camp C. Pitch-Tracking Metrics as a Predictor of Future Shoulder and Elbow Injuries in Major League Baseball Pitchers: A Machine-Learning and Game-Theory Based Analysis. Orthopaedic Journal of Sports Medicine 2024;12(8) View
  573. Karabacak M, Schupper A, Carr M, Margetis K. A machine learning-based approach for individualized prediction of short-term outcomes after anterior cervical corpectomy. Asian Spine Journal 2024;18(4):541 View
  574. Lisik D, Milani G, Salisu M, Özuygur Ermis S, Goksör E, Basna R, Wennergren G, Kankaanranta H, Nwaru B. Machine learning-derived phenotypic trajectories of asthma and allergy in children and adolescents: protocol for a systematic review. BMJ Open 2024;14(8):e080263 View
  575. Cai Z, Sun Q, Li C, Xu J, Jiang B. Machine-learning-based prediction by stacking ensemble strategy for surgical outcomes in patients with degenerative cervical myelopathy. Journal of Orthopaedic Surgery and Research 2024;19(1) View
  576. Werneburg G, Werneburg E, Goldman H, Slopnick E, Roberts L, Vasavada S. External validation demonstrates machine learning models outperform human experts in prediction of objective and patient-reported overactive bladder treatment outcomes. Urology 2024 View
  577. Kim Y, Seo W, Lee S, Koo J, Kim G, Song H, Lee M. Early Prediction of Cardiac Arrest in the Intensive Care Unit Using Explainable Machine Learning: Retrospective Study. Journal of Medical Internet Research 2024;26:e62890 View
  578. Marigi E, Oeding J, Nieboer M, Marigi I, Wahlig B, Barlow J, Sanchez-Sotelo J, Sperling J. The relationship between design-based lateralization, humeral bearing design, polyethylene angle, and patient-related factors on surgical complications after reverse shoulder arthroplasty: a machine learning analysis. Journal of Shoulder and Elbow Surgery 2024 View
  579. Turrisi R, Verri A, Barla A. Deep learning-based Alzheimer's disease detection: reproducibility and the effect of modeling choices. Frontiers in Computational Neuroscience 2024;18 View
  580. Stahl D. New horizons in prediction modelling using machine learning in older people’s healthcare research. Age and Ageing 2024;53(9) View
  581. Cata J, Soni B, Bhavsar S, Pillai P, Rypinski T, Deva A, Siewerdsen J, Soliz J. Forecasting intraoperative hypotension during hepatobiliary surgery. Journal of Clinical Monitoring and Computing 2024 View
  582. Benlaharche K, Benlaharche H. Machine learning for HELLP syndrome prediction: algorithms, case study and challenges. STUDIES IN ENGINEERING AND EXACT SCIENCES 2024;5(2):e8237 View
  583. van Spanning S, Verweij L, Hendrickx L, Allaart L, Athwal G, Lafosse T, Lafosse L, Doornberg J, Oosterhoff J, van den Bekerom M, Buijze G. Methodology and development of a machine learning probability calculator: Data heterogeneity limits ability to predict recurrence after arthroscopic Bankart repair. Knee Surgery, Sports Traumatology, Arthroscopy 2024 View
  584. Zhou Z, Wang D, Sun J, Zhu M, Teng L. A Machine Learning–Based Prediction Model for the Probability of Fall Risk Among Chinese Community-Dwelling Older Adults. CIN: Computers, Informatics, Nursing 2024 View
  585. Marzano L. Predicting the resolution of hypertension following adrenalectomy in primary aldosteronism: Controversies and unresolved issues a narrative review. Langenbeck's Archives of Surgery 2024;409(1) View
  586. Araújo D, de Macedo A, Veloso A, Alpoim P, Gomes K, Carvalho M, Dusse L. Complete blood count as a biomarker for preeclampsia with severe features diagnosis: a machine learning approach. BMC Pregnancy and Childbirth 2024;24(1) View
  587. Koh R, Ribeiro M, Jabban L, Fang B, Nesovic K, Bayat S, Metcalfe B. A Scoping Review of Machine Learning Applied to Peripheral Nerve Interfaces. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2024;32:3689 View
  588. Noda R, Ichikawa D, Shibagaki Y. Machine learning-based diagnostic prediction of minimal change disease: model development study. Scientific Reports 2024;14(1) View
  589. O’Dowling A, Rodriguez B, Gallagher T, Thorpe S. Machine learning and artificial intelligence: Enabling the clinical translation of atomic force microscopy-based biomarkers for cancer diagnosis. Computational and Structural Biotechnology Journal 2024;24:661 View
  590. Ngusie H, Enyew E, Walle A, Tilahun Assaye B, Kasaye M, Tesfa G, Zemariam A. Employing machine learning techniques for prediction of micronutrient supplementation status during pregnancy in East African Countries. Scientific Reports 2024;14(1) View
  591. Feng M, Meng F, Jia Y, Wang Y, Ji G, Gao C, Luo J. Exploration of Risk Factors for Cardiovascular Disease in Patients with Rheumatoid Arthritis: A Retrospective Study. Inflammation 2024 View
  592. Ahamed Fayaz S, Babu L, Paridayal L, Vasantha M, Paramasivam P, Sundarakumar K, Ponnuraja C, Subbian S. Machine learning algorithms to predict treatment success for patients with pulmonary tuberculosis. PLOS ONE 2024;19(10):e0309151 View
  593. Jo E, Yoo H, Kim J, Kim Y, Song S, Joo H. Fine-Tuned Bidirectional Encoder Representations From Transformers Versus ChatGPT for Text-Based Outpatient Department Recommendation: Comparative Study. JMIR Formative Research 2024;8:e47814 View
  594. Salman L. Transforming orthopedics: A glimpse into the future with artificial intelligence. Journal of Musculoskeletal Surgery and Research 2024;0:1 View
  595. Seghier M. Image Segmentation Evaluation With the Dice Index: Methodological Issues. International Journal of Imaging Systems and Technology 2024;34(6) View
  596. Song Y, Huang H, Ma J, Xing R, Song Y, Li L, Zhou J, Ou C. Early prediction of sepsis in emergency department patients using various methods and scoring systems. Nursing in Critical Care 2024 View
  597. Moler-Zapata S, Hutchings A, Grieve R, Hinchliffe R, Smart N, Moonesinghe S, Bellingan G, Vohra R, Moug S, O’Neill S. An Approach for Combining Clinical Judgment with Machine Learning to Inform Medical Decision Making: Analysis of Nonemergency Surgery Strategies for Acute Appendicitis in Patients with Multiple Long-Term Conditions. Medical Decision Making 2024;44(8):944 View
  598. Lu Y, Till S, Labott J, Reinholz A, Hevesi M, Krych A, Camp C, Okoroha K. Graft Failure and Contralateral ACL Injuries After Primary ACL Reconstruction: An Analysis of Risk Factors Using Interpretable Machine Learning. Orthopaedic Journal of Sports Medicine 2024;12(10) View
  599. Dholariya S, Dutta S, Sonagra A, Kaliya M, Singh R, Parchwani D, Motiani A. Unveiling the utility of artificial intelligence for prediction, diagnosis, and progression of diabetic kidney disease: an evidence-based systematic review and meta-analysis. Current Medical Research and Opinion 2024:1 View
  600. Song W, Frakes D, Dasi L. Active Machine Learning for Pre-procedural Prediction of Time-Varying Boundary Condition After Fontan Procedure Using Generative Adversarial Networks. Annals of Biomedical Engineering 2024 View
  601. Chung W, Yoon J, Yoon D, Kim S, Kim Y, Park J, Kang Y. Development and Validation of Deep Learning–Based Infectivity Prediction in Pulmonary Tuberculosis Through Chest Radiography: Retrospective Study. Journal of Medical Internet Research 2024;26:e58413 View
  602. Do W, Shin S, Lim J, Yoon T, Chun Y. Predicting the Reparability of Rotator Cuff Tears: Machine Learning and Comparison With Previous Scoring Systems. The American Journal of Sports Medicine 2024 View
  603. Clark S, Hartwell E, Choi D, Krystal J, Messing R, Ferguson L. Next‐generation biomarkers for alcohol consumption and alcohol use disorder diagnosis, prognosis, and treatment: A critical review. Alcohol, Clinical and Experimental Research 2024 View
  604. Hong M, Kang R, Yang J, Rhee S, Lee H, Kim Y, Lee K, Kim H, Lee Y, Youn T, Kim S, Ahn Y. Comprehensive Symptom Prediction in Inpatients With Acute Psychiatric Disorders Using Wearable-Based Deep Learning Models: Development and Validation Study. Journal of Medical Internet Research 2024;26:e65994 View
  605. Ritter D, Denard P, Raiss P, Wijdicks C, Werner B, Bedi A, Müller P, Bachmaier S. Machine learning models can define clinically relevant bone density subgroups based on patient-specific calibrated computed tomography scans in patients undergoing reverse shoulder arthroplasty. Journal of Shoulder and Elbow Surgery 2024 View
  606. Alfardan A, Alharbi R, Alrammaal W, Alharbi F, Almotairi M, Almutairi M, Almutairi N, Hazazi M, Alanazi M, Alharbi F. The role of artificial intelligence in predicting disease outbreaks: A multidisciplinary approach. International journal of health sciences 2024;8(S1):1556 View
  607. Kumar D, Haag D, Blechert J, Niebauer J, Smeddinck J. Investigating Feature Selection for Physical Activity Prediction Based on Ecological Momentary Assessments: Towards Tailoring the Timing of Behaviour Change Support Messages (Preprint). JMIR mHealth and uHealth 2024 View
  608. Karabacak M, Jagtiani P, Schupper A, Carr M, Steinberger J, Margetis K. Machine Learning for Individualized Risk Estimation in Anterior Lumbar Interbody Fusion. Neurosurgery Practice 2024;5(3) View
  609. Karabacak M, Margetis K. Machine Learning–Driven Prognostication in Traumatic Subdural Hematoma: Development of a Predictive Web Application. Neurosurgery Practice 2024;5(1) View

Books/Policy Documents

  1. F.I. Osman A. Artificial Intelligence - Applications in Medicine and Biology. View
  2. Dankers F, Traverso A, Wee L, van Kuijk S. Fundamentals of Clinical Data Science. View
  3. Allen B, Gish R, Dreyer K. Artificial Intelligence in Medical Imaging. View
  4. Haymond S, Julian R, Gill E, Master S. Biochemical and Molecular Basis of Pediatric Disease. View
  5. Cychnerski J, Dziubich T. New Trends in Database and Information Systems. View
  6. Schwarzerova J, Kostoval A, Bajger A, Jakubikova L, Pierides I, Popelinsky L, Sedlar K, Weckwerth W. Information Technology in Biomedicine. View
  7. Dee E, Yu R, Celi L, Nehal U. Artificial Intelligence in Medicine. View
  8. Kalpana , Srivastava A, Jha S. Predictive Modeling in Biomedical Data Mining and Analysis. View
  9. Dee E, Yu R, Celi L, Nehal U. Artificial Intelligence in Medicine. View
  10. Lopez-Ramos L. Intelligent Technologies and Applications. View
  11. Urbanowicz R, Zhang R, Cui Y, Suri P. Genetic Programming Theory and Practice XIX. View
  12. McMahon J, Craig A, Cameron I. Service-Oriented Computing – ICSOC 2023 Workshops. View
  13. Glavaški M, Velicki L. In Silico Clinical Trials for Cardiovascular Disease. View
  14. Ong Y, Kee S, Chai K, Lim T, Tan C. Advances in Intelligent Healthcare Delivery and Management. View
  15. McFarland E, Łukasiewicz P, Goldfarb S. Artificial Intelligence in Orthopaedic Surgery Made Easy. View