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  1. 37721
    “…RESULTS: Database searching identified 597 studies to be screened, of which 291 abstracts were revealed as potentially eligible and finally 7 articles were included. The forest plot showed that CR had significantly better survival than PS (OR = 2.17; 95% CI: 1.69–2.80) after 10 years. …”
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    Cruciate retaining total knee arthroplasty has a better 10 year survival than posterior stabilized total knee arthroplasty: a systematic review and meta-analysis
  2. 37722
    “…The results are presented using texts, tables, and forest plots, along with measure of effect and a 95% confidence interval.Affiliations: Please confirm if the author names are presented accurately and in the correct sequence (given name, middle name/initial, family name). …”
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    Gestational diabetes mellitus and its associated factors in Ethiopia: a systematic review and meta-analysis
  3. 37723
    “…Subsequently, the top 10 features (optimal subset) were used to simplify the clinical decision-making process, and their performance was compared with that of a random forest (RF), Bagging, AdaBoost, and a naive Bayes (NB) classifier. …”
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    XGBoost-SHAP-based interpretable diagnostic framework for alzheimer’s disease
  4. 37724
    “…Heterogeneity and publication bias were assessed using forest plots, I(2)(,) Cochran’s Q statistics and Funnel plots, Egger test, and Begg rank tests respectively. …”
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    Prevalence and associated factors of early initiation of sexual intercourse among youth in Ethiopia: systematic review and meta-analysis
  5. 37725
    “…Multivariable logistic regression, random forest, and XGBoost were used to determine the associations between risk factors and PASC. …”
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    Online Artículo Texto
    Risk factors associated with post-acute sequelae of SARS-CoV-2: an N3C and NIH RECOVER study
  6. 37726
    “…This study aimed to characterize the bovine bacterial ocular surface microbiome (OSM) through conjunctival swab samples from Normal eyes and eyes with naturally acquired, active IBK across populations of cattle using a three-part approach, including bacterial culture, relative abundance (RA, 16 S rRNA gene sequencing), and semi-quantitative random forest modeling (real-time polymerase chain reaction (RT-PCR)). …”
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    Alterations to the bovine bacterial ocular surface microbiome in the context of infectious bovine keratoconjunctivitis
  7. 37727
    “…METHODS: Using surveillance data of influenza-like illness visits from emergency departments (from the Real-Time Outbreak and Disease Surveillance System), outpatient departments (from the National Health Insurance database), and the records of patients with severe influenza with complications (from the National Notifiable Disease Surveillance System), we developed 4 machine learning models (autoregressive integrated moving average, random forest, support vector regression, and extreme gradient boosting) to produce weekly influenza-like illness predictions for a given week and 3 subsequent weeks. …”
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    Applying Machine Learning Models with An Ensemble Approach for Accurate Real-Time Influenza Forecasting in Taiwan: Development and Validation Study
  8. 37728
    “…The extracted set of statistically significant bacteria from the (Jangi et al, Nat Commun 7:1–11, 2016) dataset samples and their statistically significant predictive functions were used to develop a Random Forest classifier. In total, 8 models based on two criteria: bacteria abundance (at six taxonomic levels) and predictive functions (at two levels), were constructed and evaluated. …”
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    Using data science for medical decision making case: role of gut microbiome in multiple sclerosis
  9. 37729
    “…The pooled prevalence of cervical cancer screening and the odds ratio (OR) with a 95% confidence interval were presented using forest plots. RESULT: Twenty-four studies with a total of 14,582 age-eligible women were included in this meta-analysis. …”
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    Uptake of cervical cancer screening service and associated factors among age-eligible women in Ethiopia: systematic review and meta-analysis
  10. 37730
    por Bennett, Tellen D., Moffitt, Richard A., Hajagos, Janos G., Amor, Benjamin, Anand, Adit, Bissell, Mark M., Bradwell, Katie Rebecca, Bremer, Carolyn, Byrd, James Brian, Denham, Alina, DeWitt, Peter E., Gabriel, Davera, Garibaldi, Brian T., Girvin, Andrew T., Guinney, Justin, Hill, Elaine L., Hong, Stephanie S., Jimenez, Hunter, Kavuluru, Ramakanth, Kostka, Kristin, Lehmann, Harold P., Levitt, Eli, Mallipattu, Sandeep K., Manna, Amin, McMurry, Julie A., Morris, Michele, Muschelli, John, Neumann, Andrew J., Palchuk, Matvey B., Pfaff, Emily R., Qian, Zhenglong, Qureshi, Nabeel, Russell, Seth, Spratt, Heidi, Walden, Anita, Williams, Andrew E., Wooldridge, Jacob T., Yoo, Yun Jae, Zhang, Xiaohan Tanner, Zhu, Richard L., Austin, Christopher P., Saltz, Joel H., Gersing, Ken R., Haendel, Melissa A., Chute, Christopher G.
    Publicado 2021
    “…Using 64 inputs available on the first hospital day, we predicted a severe clinical course (death, discharge to hospice, invasive ventilation, or extracorporeal membrane oxygenation) using random forest and XGBoost models (AUROC 0.86 and 0.87 respectively) that were stable over time. …”
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    The National COVID Cohort Collaborative: Clinical Characterization and Early Severity Prediction
  11. 37731
    “…For BL vs PL1, BL vs PL2, and BL vs PL4, the highest prediction accuracies were achieved when using a random forest classifier (86.0, 70.0, and 61.5, respectively). …”
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    Pain Assessment Tool With Electrodermal Activity for Postoperative Patients: Method Validation Study
  12. 37732
    “…Nevertheless, respondents from the Guineo-Congolian (Benin) and the Deciduous forest (Ghana) zones expressed higher agreement in the ranking of desired breeding traits. …”
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    Comparative analysis of management practices and end-users’ desired breeding traits in the miracle plant [Synsepalum dulcificum (Schumach & Thonn.) Daniell] across ecological zones and sociolinguistic groups in West Africa
  13. 37733
    “…RESULTS: TriatoScores were higher in municipalities dominated by dry-to-semiarid ecoregions than in those dominated by savanna-grassland or, especially, moist-forest ecoregions. Bahia’s native triatomines can maintain high to moderate risk of vector-borne Chagas disease in 318 (76.3%) municipalities. …”
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    TriatoScore: an entomological-risk score for Chagas disease vector control-surveillance
  14. 37734
    “…The first author, year of publication, diagnostic criteria and gene frequency were extracted after screened them. Forest plot was drawn and the trial sequential analysis (TSA) was carried out to confirm the stability of the meta-analysis results. …”
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    The minor T allele of the MUC5B promoter rs35705950 associated with susceptibility to idiopathic pulmonary fibrosis: a meta-analysis
  15. 37735
    “…From the extended cohort analysis of the 42 DEGs (differentially expressed genes), a statistical approach combined with the random forest classifier model generated a ten-gene signature predictive of response to first-line chemotherapy. …”
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    Identification of a novel gene signature predicting response to first-line chemotherapy in BRCA wild-type high-grade serous ovarian cancer patients
  16. 37736
    “…The core distribution area of KSR is Liping, Congjiang and Rongjiang County of southeast, Guizhou Province. Paddy fields, forests, livestock and cottages have formed a special artificial wetland ecosystem in local area, and the Dong people have also formed a set of traditional farming systems of KSR for variety breeding, field management, and soil and water conservation. …”
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    Traditional agricultural management of Kam Sweet Rice (Oryza sativa L.) in southeast Guizhou Province, China
  17. 37737
    “…This is the experience that locals have accumulated when managing forests and grasslands. Therefore, both the government and individuals should learn from the local people when it comes to protecting black-boned sheep. …”
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    An ethnobiological study on traditional knowledge associated  with black-boned sheep (Ovis aries) in Northwest Yunnan, China
  18. 37738
    “…Based on Lasso penalized regression and random forest (RF), we constructed an IRL classifier associated with prognosis. …”
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    Construction and validation of immune-related LncRNAs classifier to predict prognosis and immunotherapy response in laryngeal squamous cell carcinoma
  19. 37739
    “…Decision tree–based machine learning models (Light Gradient Boosting Machine, GradientBoost, and RandomForest) were built to predict whether a set of psychological distress characteristics (ie, depression, anxiety, stress, intrusion, avoidance, and hyperarousal) belong to a nurse. …”
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    Investigating Psychological Differences Between Nurses and Other Health Care Workers From the Asia-Pacific Region During the Early Phase of COVID-19: Machine Learning Approach
  20. 37740
    “…We investigated gender differences in treatment efficacy with ipi3 and ipi10 versus HDI while adjusting for age, stage, ECOG performance (PS), ulceration, primary tumor status and lymph node number. Forest plots were created to compare overall survival (OS) and relapse free survival (RFS) between ipi and HDI. …”
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    Enhanced immune activation within the tumor microenvironment and circulation of female high-risk melanoma patients and improved survival with adjuvant CTLA4 blockade compared to males
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