MissForest—non-parametric missing value imputation for mixed-type data

Cited by (1,024)

Items 801–900 of 1,024

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7. Partial Support for an Interaction Between a Polygenic Risk Score for Major Depressive Disorder and Prenatal Maternal Depressive Symptoms on Infant Right Amygdalar Volumes
   Acosta, H, Kantojärvi, K, Hashempour, N, Pelto, J, Scheinin, N M, Lehtola, S J, Lewis, J D, Fonov, V S, Collins, D L, Evans, A et al. · 2020 · Cerebral Cortex
8. Alternative Counter-News Use and Fake News Recall During the COVID-19 Crisis
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12. Longitudinal network relations between symptoms of problematic internet game use and internalizing and externalizing problems among Chinese early adolescents
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13. Association of hair polychlorinated biphenyls and multiclass pesticides with obesity, diabetes, hypertension and dyslipidemia in NESCAV study
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14. Dynamic prediction of malignant ventricular arrhythmias using neural networks in patients with an implantable cardioverter-defibrillator
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15. Machine Learning and Health Science Research: Tutorial
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16. Development of a human genetics-guided priority score for 19,365 genes and 399 drug indications
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18. Integrated metabolic-transcriptomic network identifies immunometabolic modulations in human macrophages
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19. Novel type 2 diabetes prediction score based on traditional risk factors and circulating metabolites: model derivation and validation in two large cohort studies
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20. Infection-induced lysine lactylation enables herpesvirus immune evasion
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22. A Primer of Data Cleaning in Quantitative Research: Handling Missing Values and Outliers
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23. Hybrid data‐driven approach for truck travel time imputation
    Abolfazl Karimpour, Amin Ariannezhad, Yao‐Jan Wu · 2019 · IET Intelligent Transport Systems
24. Dispositional playfulness in young children: A cross‐sectional and longitudinal examination of the psychometric properties of a new child self‐reported playfulness scale and associations with social behaviour
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25. Hydroxysteroid (17β) dehydrogenase 12 is essential for metabolic homeostasis in adult mice
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26. From delayed succession to alternative successional trajectory: How different moose browsing pressures contribute to forest dynamics following clear‐cutting
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27. Longitudinal Association Between Oral Status and Cognitive Decline Using Fixed-effects Analysis
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28. Predicting Colorectal Cancer Recurrence and Patient Survival Using Supervised Machine Learning Approach: A South African Population-Based Study
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29. A Machine‐Learning Algorithm to Predict the Likelihood of Prolonged Opioid Use Following Arthroscopic Hip Surgery
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30. Comparison of traditional model-based statistical methods with machine learning for the prediction of suicide behaviour
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31. A Novel Feature-Engineered–NGBoost Machine-Learning Framework for Fraud Detection in Electric Power Consumption Data
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32. Intra-destination travel behavior of alpine tourists: a literature review on choice determinants and the survey work
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33. A machine-learning model for reducing misdiagnosis in heparin-induced thrombocytopenia: a prospective, multicenter, observational study
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34. Relationships between building features and wildfire damage in California, USA and Pedrógão Grande, Portugal
    Simona Dossi, Birgitte Messerschmidt, Luís Mário Ribeiro, Miguel Almeida, Guillermo Rein · 2022 · International Journal of Wildland Fire
35. Management of wireworm damage in maize fields using new, landscape-scale strategies
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36. CUTOFF: A spatio-temporal imputation method
    Lingbing Feng, Gen Nowak, Terence J. O’Neill, A. H. Welsh · 2014 · Journal of Hydrology
37. Architecture of cortical bone determines in part its remodelling and structural decay
    Minh Bui, Åshild Bjørnerem, Ali Ghasemzadeh, Gillian S. Dite, John Llewelyn Hopper, Ego Seeman · 2013 · Bone
38. Deep Learning Versus Neurologists: Functional Outcome Prediction in LVO Stroke Patients Undergoing Mechanical Thrombectomy
    Lisa Herzog, Lucas Kook, Janne M. Hamann, Christoph Globas, Mirjam R. Heldner, David Julian Seiffge, Kateryna Antonenko, Tomas Dobrocky, Leonidas D Panos, Johannes Kaesmacher et al. · 2023 · Stroke
39. Predicting preterm birth using explainable machine learning in a prospective cohort of nulliparous and multiparous pregnant women
    Wasif Khan, Nazar Zaki, Nadirah Ghenimi, Amir Ahmad, Jiang Bian, Mohammad Mehedy Masud, Nasloon Ali, Romona Devi Govender, Luai Awad Ahmed · 2023 · PLoS ONE
40. Differential DNA methylation in the brain as potential mediator of the association between traffic‐related PM2.5 and neuropathology markers of Alzheimer's disease
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41. Probabilistic wind power forecasting resilient to missing values: An adaptive quantile regression approach
    Honglin Wen · 2024 · Energy
42. Predicting the boron removal of reverse osmosis membranes using machine learning
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43. A deep learning approach for overall survival prediction in lung cancer with missing values
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44. Machine learning applications in precision medicine: Overcoming challenges and unlocking potential
    Henning Nilius, Sofia Tsouka, Michael Nagler, Mojgan Masoodi · 2024 · TrAC Trends in Analytical Chemistry
45. Gender Difference in the Onset of Adolescent Depressive Symptoms: A Cross-Lagged Panel Network Analysis
    Sihan Liu, Haining Ren, Yijia Li, Yang Liu, Sinan Fu, Zhuo Rachel Han · 2024 · Research on Child and Adolescent Psychopathology
46. Thirty-day postoperative morbidity and mortality after temporal lobectomy for medically refractory epilepsy
    Panagiotis Kerezoudis, Brandon A. McCutcheon, Meghan E. Murphy, Kenan R. Rajjoub, Daniel S. Ubl, Elizabeth Butzer Habermann, Gregory A. Worrell, Mohamad Bydon, Jamie J. Van Gompel · 2017 · Journal of neurosurgery
47. Imputing missing value through ensemble concept based on statistical measures
    Moslem Mohammadi Jenghara, Hossein Ebrahimpour-Komleh, Vahideh Rezaie, Samad Nejatian, Hamïd Parvïn, Sharifah Kamilah Syed Yusof · 2017 · Knowledge and Information Systems
48. Creating functional groups of marine fish from categorical traits
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49. Evaluation of linear models and missing value imputation for the analysis of peptide-centric proteomics
    Philip Berg, Evan W. McConnell, Leslie M. Hicks, Sorina C. Popescu, George V. Popescu · 2019 · BMC Bioinformatics
50. Change-Point Detection for Graphical Models in the Presence of Missing Values
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51. Interplay between Socioeconomic Markers and Polygenic Predisposition on Timing of Dementia Diagnosis
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52. On the Use of Correlation and MI as a Measure of Metabolite—Metabolite Association for Network Differential Connectivity Analysis
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53. Comprehensive platelet phenotyping supports the role of platelets in the pathogenesis of acute venous thromboembolism – results from clinical observation studies
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54. A Deep Learning–Based Unsupervised Method to Impute Missing Values in Patient Records for Improved Management of Cardiovascular Patients
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55. Machine‐learning model successfully predicts patients at risk for prolonged postoperative opioid use following elective knee arthroscopy
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56. Financial risk assessment in shipping: a holistic machine learning based methodology
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57. Addressing missing values in routine health information system data: an evaluation of imputation methods using data from the Democratic Republic of the Congo during the COVID-19 pandemic
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58. Adhering to COVID‐19 health guidelines: Examining demographic and psychological predictors of adherence
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59. Redefining COVID-19 Severity and Prognosis: The Role of Clinical and Immunobiotypes
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60. Understanding Anterior Shoulder Instability Through Machine Learning: New Models That Predict Recurrence, Progression to Surgery, and Development of Arthritis
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61. Effectiveness of Multimodal Treatment for Young People With Body Dysmorphic Disorder in Two Specialist Clinics
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62. A Novel Spatiotemporal Data Low-Rank Imputation Approach for Traffic Sensor Network
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66. Linking genetic maps and simulation to optimize breeding for wheat flowering time in current and future climates
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67. Explainable machine learning model to predict refeeding hypophosphatemia
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69. How do urbanization and alien species affect the plant taxonomic, functional, and phylogenetic diversity in different types of urban green areas?
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71. Early prediction of pediatric asthma in the Canadian Healthy Infant Longitudinal Development (CHILD) birth cohort using machine learning
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77. Missing Data Imputation and Its Effect on the Accuracy of Classification
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92. Increasing Genome Sampling and Improving SNP Genotyping for Genotyping-by-Sequencing with New Combinations of Restriction Enzymes
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100. Accelerometer-measured physical activity, frailty, and all-cause mortality and life expectancy among middle-aged and older adults: a UK Biobank longitudinal study
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