Materias dentro de su búsqueda.
Mostrando 37,801 - 37,820 Resultados de 37,890 Para Buscar '"forestal"', tiempo de consulta: 5.83s Limitar resultados
  1. 37801
    “…METHODS AND FINDINGS: We used Botswana XPRES trial data for adult HIV clinic enrollees collected during 2012 to 2015 to develop a parsimonious multivariable prognostic model for active prevalent TB using both logistic regression and random forest machine learning approaches. A clinical score was derived by rescaling final model coefficients. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Derivation and external validation of a risk score for predicting HIV-associated tuberculosis to support case finding and preventive therapy scale-up: A cohort study
  2. 37802
    “…MAIN OUTCOMES AND MEASURES: The primary outcome measures included cross-validated performance metrics of random forest models to screen for presymptomatic infection and predict infection severity, including accuracy, precision, sensitivity, specificity, F1 score, and area under the receiver operating characteristic curve (AUC). …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Assessment of the Feasibility of Using Noninvasive Wearable Biometric Monitoring Sensors to Detect Influenza and the Common Cold Before Symptom Onset
  3. 37803
    “…SIMPLE SUMMARY: Solving biodiversity loss and climate change are part of the same problem; intact natural habitats can provide powerful and efficient climate mitigation if protected. Beyond the land (forests), there is little appreciation of just how important ocean nature is to climate mitigation. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Climate Mitigation through Biological Conservation: Extensive and Valuable Blue Carbon Natural Capital in Tristan da Cunha’s Giant Marine Protected Zone
  4. 37804
    “…Four ML models based on logistic regression (LR), random forest (RF), classification and regression decision trees (CARTs), and support vector machine (SVM) were applied for the development of the prediction algorithm. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    A Prediction Model for Tumor Recurrence in Stage II–III Colorectal Cancer Patients: From a Machine Learning Model to Genomic Profiling
  5. 37805
    “…The meta-analysis was accomplished in the STATA software, and the results were shown on their forest plots. Confounders were evaluated by the meta-regression test. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Investigating the safety and efficacy of hematopoietic and mesenchymal stem cell transplantation for treatment of T1DM: a systematic review and meta-analysis
  6. 37806
    “…Methods: A systematical search was performed in the Gene Expression Omnibus (GEO) and ArrayExpress databases from inception to 10 September 2021. Random forest (RF) and modified Lasso penalized regression were conducted to identify hub genes in multi-transcriptome data, thus we constructed a prediction model, namely the HLA classifier. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Construction of an HLA Classifier for Early Diagnosis, Prognosis, and Recognition of Immunosuppression in Sepsis by Multiple Transcriptome Datasets
  7. 37807
    “…A Mantel-Haenszel random effects model was used for meta-analyses of IRRs, and forest plots were generated for the pooled IRR for ACL injuries in game and training settings. …”
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Poster 250: Increased Risk of Anterior Cruciate Ligament Injuries for Female but Not Male Soccer Players on Artificial Turf Versus Natural Grass: A Systematic Review and Meta-Analysis
  8. 37808
    “…Random-effects or fixed-effects model was used to calculate the pooled parameters, and the results were presented as forest plots with 95% confidence intervals. RESULTS: Twelve studies were included, but only antitumor necrosis factor alpha (anti-TNF-α) agents were prescribed as biologicals for refractory intestinal BD. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Anti-TNF-α agents for refractory intestinal Behçet’s disease: case series and meta-analysis
  9. 37809
    “…In the training group, prediction models were trained and optimized using six approaches, including logistic regression, XGBoosting machine, random forest, neural network, gradient boosting machine, and decision tree. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Machine learning approaches for prediction of early death among lung cancer patients with bone metastases using routine clinical characteristics: An analysis of 19,887 patients
  10. 37810
    “…Enrichment was assessed using the hypergeometric test and confirmed via random permutation (1×10(5)-fold) and z-score analysis. Random Forest was used to determine the predictive value presented as the area under the curve (AUC) of the receiver operating characteristic. …”
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    OR14-1 Preimplantation embryo development is associated with both birth size and post-natal growth and can predict adult cardiovascular risk
  11. 37811
    “…Frequencies of 28 immune-cell subsets (including different T cell, B cell, and monocyte subsets) from each participant were measured in peripheral blood mononuclear cells by flow cytometry and analysed by balanced random forest machine learning. RNA-sequencing was used to compare sex and gender differences in regulatory T (Treg) cell phenotype between participants with juvenile-onset SLE, age-matched cis-gender participants without the disease, and age matched transgender individuals on gender-affirming sex hormone treatment. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Investigating sex differences in T regulatory cells from cisgender and transgender healthy individuals and patients with autoimmune inflammatory disease: a cross-sectional study
  12. 37812
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    EIF1AX mutation in thyroid tumors: a retrospective analysis of cytology, histopathology and co-mutation profiles
  13. 37813
    “…First, we identified 27 potential patient and fracture characteristics that may have been associated with our primary outcome, based on biomechanical rationale and previous studies. Then, random forest algorithms (an ML learning, decision tree–based algorithm that selects variables) identified 10 predictors of conversion: BMI, cardiac disease, Garden classification, use of cardiac medication, use of pulmonary medication, age, lung disease, osteoarthritis, sex, and the level of the fracture line. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Patients With Femoral Neck Fractures Are at Risk for Conversion to Arthroplasty After Internal Fixation: A Machine‐learning Algorithm
  14. 37814
    “…After risk bias assessment, three of the papers were judged as low risk and the others were judged as having moderate to high risk. Forest plots were drawn for a total of 16 indicators. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Analysis of the efficacy of subclinical doses of esketamine in combination with propofol in non-intubated general anesthesia procedures - a systematic review and meta-analysis
  15. 37815
    “…Feature genes of PAH were selected by least absolute shrinkage and selection operator (LASSO) regression analysis and validated by fivefold cross-validation, random forest and logistic regression. The GSE113439 and GSE53408 datasets were used as validation sets and logistic regression and receiver operating characteristic (ROC) curve analysis were performed to evaluate the prediction value of PAH. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Bioinformatics analysis of the immune cell infiltration characteristics and correlation with crucial diagnostic markers in pulmonary arterial hypertension
  16. 37816
    “…Stata version 14 software was used for statistical analysis. Forest plots using the random-effect model were used to compute the overall pooled prevalence of VRSA and for the subgroup analysis. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    The prevalence of vancomycin-resistant Staphylococcus aureus in Ethiopia: a systematic review and meta-analysis
  17. 37817
    por Hamada, Yohhei, Quartagno, Matteo, Law, Irwin, Malik, Farihah, Bonsu, Frank Adae, Adetifa, Ifedayo M.O., Adusi-Poku, Yaw, D'Alessandro, Umberto, Bashorun, Adedapo Olufemi, Begum, Vikarunnessa, Lolong, Dina Bisara, Boldoo, Tsolmon, Dlamini, Themba, Donkor, Simon, Dwihardiani, Bintari, Egwaga, Saidi, Farid, Muhammad N., Celina G.Garfin, Anna Marie, Mae G Gaviola, Donna, Husain, Mohammad Mushtuq, Ismail, Farzana, Kaggwa, Mugagga, Kamara, Deus V., Kasozi, Samuel, Kaswaswa, Kruger, Kirenga, Bruce, Klinkenberg, Eveline, Kondo, Zuweina, Lawanson, Adebola, Macheque, David, Manhiça, Ivan, Maama-Maime, Llang Bridget, Mfinanga, Sayoki, Moyo, Sizulu, Mpunga, James, Mthiyane, Thuli, Mustikawati, Dyah Erti, Mvusi, Lindiwe, Nguyen, Hoa Binh, Nguyen, Hai Viet, Pangaribuan, Lamria, Patrobas, Philip, Rahman, Mahmudur, Rahman, Mahbubur, Rahman, Mohammed Sayeedur, Raleting, Thato, Riono, Pandu, Ruswa, Nunurai, Rutebemberwa, Elizeus, Rwabinumi, Mugabe Frank, Senkoro, Mbazi, Sharif, Ahmad Raihan, Sikhondze, Welile, Sismanidis, Charalambos, Sovd, Tugsdelger, Stavia, Turyahabwe, Sultana, Sabera, Suriani, Oster, Thomas, Albertina Martha, Tobing, Kristina, Van der Walt, Martie, Walusimbi, Simon, Zaman, Mohammad Mostafa, Floyd, Katherine, Copas, Andrew, Abubakar, Ibrahim, Rangaka, Molebogeng X.
    Publicado 2023
    “…We assessed heterogeneity using forest plots and I(2) statistic. Missing variables were imputed through multi-level multiple imputation. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Association of diabetes, smoking, and alcohol use with subclinical-to-symptomatic spectrum of tuberculosis in 16 countries: an individual participant data meta-analysis of national tuberculosis prevalence surveys
  18. 37818
    “…The pooled prevalence of childbirth at home and the odds ratio (OR) with a 95% confidence interval was presented using forest plots. RESULT: Seventy-one thousand seven hundred twenty-four (71, 724) mothers who gave at least one birth were recruited in this study. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Childbirth at home and associated factors in Ethiopia: a systematic review and meta-analysis
  19. 37819
    “…To assess quality, Joanna Briggs Critical Appraisal Tools was used. A Forest plot was used to present summary information on each article and pooled common effects. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    The burden of household out-of-pocket healthcare expenditures in Ethiopia: a systematic review and meta-analysis
  20. 37820
    “…LR, Linear Discriminant Analysis (LDA), support vector machine (SVM), random forest (RF), naive Bayesian (NB) and XGBoost (XGB) algorithms were used to construct the radiomics signatures. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Development and validation of a clinicoradiomic nomogram to assess the HER2 status of patients with invasive ductal carcinoma
Herramientas de búsqueda: RSS