| scholarly article | Q13442814 |
| P50 | author | Jenny G H Low | Q91015210 |
| Yee-Ling Lai | Q115135028 | ||
| Cameron P. Simmons | Q37392993 | ||
| Martin L. Hibberd | Q37608549 | ||
| Eng Eong Ooi | Q40355036 | ||
| Thomas Tolfvenstam | Q42134604 | ||
| Yee-Sin Leo | Q66724584 | ||
| Subhash G Vasudevan | Q88321484 | ||
| Lee Ching Ng | Q89137393 | ||
| P2093 | author name string | Adrian Ong | |
| Lukas Tanner | |||
| Mark Schreiber | |||
| Le Thi Puong | |||
| P2860 | cites work | Dengue and dengue hemorrhagic fever | Q24550739 |
| Observations related to pathogenesis of dengue hemorrhagic fever. IV. Relation of disease severity to antibody response and virus recovered | Q24736974 | ||
| Cost-Effective Real-Time Reverse Transcriptase PCR (RT-PCR) To Screen for Dengue Virus followed by Rapid Single-Tube Multiplex RT-PCR for Serotyping of the Virus | Q27478185 | ||
| Dengue viremia titer, antibody response pattern, and virus serotype correlate with disease severity | Q27860703 | ||
| Pathogenesis of dengue: challenges to molecular biology | Q27860978 | ||
| Dengue prevention and 35 years of vector control in Singapore | Q28656305 | ||
| Epidemic dengue/dengue hemorrhagic fever as a public health, social and economic problem in the 21st century | Q29616264 | ||
| Dengue | Q29619772 | ||
| Evidence That Maternal Dengue Antibodies Are Important in the Development of Dengue Hemorrhagic Fever in Infants | Q29620637 | ||
| Clinical, epidemiologic, and virologic features of dengue in the 1998 epidemic in Nicaragua | Q33337347 | ||
| Short report: assessment of the World Health Organization scheme for classification of dengue severity in Nicaragua | Q33369590 | ||
| Differences in dengue severity in infants, children, and adults in a 3-year hospital-based study in Nicaragua. | Q33369592 | ||
| Dengue in travelers | Q36246244 | ||
| Early Dengue infection and outcome study (EDEN) - study design and preliminary findings. | Q40462692 | ||
| Patterns of disease among adults hospitalized with dengue infections. | Q40481904 | ||
| Distinguishing dengue fever from other infections on the basis of simple clinical and laboratory features: application of logistic regression analysis | Q40502447 | ||
| Dengue in the Early Febrile Phase: Viremia and Antibody Responses | Q40647864 | ||
| Early Clinical and Laboratory Indicators of Acute Dengue Illness | Q40647872 | ||
| A program for prevention and control of epidemic dengue and dengue hemorrhagic fever in Puerto Rico and the U.S. Virgin Islands | Q40755046 | ||
| P275 | copyright license | Creative Commons Attribution 2.5 Generic | Q18810333 |
| P433 | issue | 3 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | algorithm | Q8366 |
| dengue fever | Q30953 | ||
| Dengue virus | Q476209 | ||
| P5008 | on focus list of Wikimedia project | ScienceSource | Q55439927 |
| P304 | page(s) | e196 | |
| P577 | publication date | 2008-03-12 | |
| P1433 | published in | PLoS Neglected Tropical Diseases | Q3359737 |
| P1476 | title | Decision Tree Algorithms Predict the Diagnosis and Outcome of Dengue Fever in the Early Phase of Illness | |
| P478 | volume | 2 |
| Q47557754 | A Predictive Model to Classify Undifferentiated Fever Cases Based on Twenty-Four-Hour Continuous Tympanic Temperature Recording. |
| Q28483765 | A genetic and pathologic study of a DENV2 clinical isolate capable of inducing encephalitis and hematological disturbances in immunocompetent mice |
| Q28473775 | A non mouse-adapted dengue virus strain as a new model of severe dengue infection in AG129 mice |
| Q50746942 | A preclustering-based ensemble learning technique for acute appendicitis diagnoses |
| Q35716620 | A three-component biomarker panel for prediction of dengue hemorrhagic fever. |
| Q55279068 | Accurately Inferring Compliance to Five Major Food Guidelines Through Simplified Surveys: Applying Data Mining to the UK National Diet and Nutrition Survey. |
| Q28114617 | An Evidence-Based Algorithm for Early Prognosis of Severe Dengue in the Outpatient Setting |
| Q40047699 | Analysis of Clinical and Laboratory Alterations Related to Dengue Case Severity: Comparison between Serotypes 2 and 4 in Brazil |
| Q34167384 | Assessing the prognosis of dengue-infected patients |
| Q97521213 | Assessment of vector-host-pathogen relationships using data mining and machine learning |
| Q40061338 | Case Management of Dengue: Lessons Learned |
| Q33619284 | Classification of dengue fever patients based on gene expression data using support vector machines. |
| Q39238147 | Clinical and Laboratory Diagnosis of Dengue Virus Infection |
| Q34581187 | Clinical and laboratory features that discriminate dengue from other febrile illnesses: a diagnostic accuracy study in Rio de Janeiro, Brazil |
| Q41984683 | Clinical risk-scoring algorithm to forecast scrub typhus severity. |
| Q35065632 | Contribution of dengue fever to the burden of acute febrile illnesses in Papua New Guinea: an age-specific prospective study |
| Q58996912 | Decision Graphs and Their Application to Software Testing |
| Q40384187 | Decision tree algorithm in deciding hospitalization for adult patients with dengue haemorrhagic fever in Singapore |
| Q34125057 | Dengue. |
| Q36862355 | Development of a Simple Clinical Risk Score for Early Prediction of Severe Dengue in Adult Patients |
| Q40225455 | Development of dengue infection severity score. |
| Q38048849 | Diagnosis of dengue: an update |
| Q35943038 | Diagnostic strategy for identifying avian pathogenic Escherichia coli based on four patterns of virulence genes. |
| Q36048467 | Discovery and Validation of Prognostic Biomarker Models to Guide Triage among Adult Dengue Patients at Early Infection |
| Q38425558 | Does negative IgM dengue serology rule out dengue fever in an adult with fever for three days? |
| Q34193896 | Early clinical features of dengue virus infection in nicaraguan children: a longitudinal analysis |
| Q37214588 | Effective use of FibroTest to generate decision trees in hepatitis C. |
| Q34422058 | Efficacy and safety of celgosivir in patients with dengue fever (CELADEN): a phase 1b, randomised, double-blind, placebo-controlled, proof-of-concept trial |
| Q34290278 | Evaluation of Virulence Factor Profiling in the Characterization of Veterinary Escherichia coli Isolates |
| Q28539617 | Exploring the relationship between access to water, sanitation and hygiene and soil-transmitted helminth infection: a demonstration of two recursive partitioning tools |
| Q27488304 | Genomic Epidemiology of a Dengue Virus Epidemic in Urban Singapore |
| Q28073351 | Genomic approaches for understanding dengue: insights from the virus, vector, and host |
| Q56766779 | Global spread of epidemic dengue: the influence of environmental change |
| Q38941741 | IL-28 and IL-29 as protective markers in subject with dengue fever. |
| Q28476805 | Kinetics of viremia and NS1 antigenemia are shaped by immune status and virus serotype in adults with dengue |
| Q90584943 | Learning Latent Space Representations to Predict Patient Outcomes: Model Development and Validation |
| Q26970813 | Maintenance of demographic and hematological profiles in a long-lasting dengue fever outbreak: implications for management |
| Q35935426 | Metabolomics-Based Discovery of Small Molecule Biomarkers in Serum Associated with Dengue Virus Infections and Disease Outcomes |
| Q37884400 | NS3 protease from flavivirus as a target for designing antiviral inhibitors against dengue virus |
| Q99631127 | New technologies to improve healthcare in low- and middle-income countries: Global Grand Challenges satellite event, Oxford University Clinical Research Unit, Ho Chi Minh City, 17th-18th September 2019 |
| Q39117763 | Post-dengue acute disseminated encephalomyelitis: A case report and meta-analysis |
| Q54256677 | Predicting the severity of dengue fever in children on admission based on clinical features and laboratory indicators: application of classification tree analysis. |
| Q33651088 | Prediction of Dengue Disease Severity among Pediatric Thai Patients Using Early Clinical Laboratory Indicators |
| Q33881649 | Predictive tools for severe dengue conforming to World Health Organization 2009 criteria |
| Q35120222 | Rapid diagnostic tests for dengue virus infection in febrile Cambodian children: diagnostic accuracy and incorporation into diagnostic algorithms. |
| Q35250382 | Sensitivity and specificity of a novel classifier for the early diagnosis of dengue |
| Q34500818 | Serum proteome and cytokine analysis in a longitudinal cohort of adults with primary dengue infection reveals predictive markers of DHF. |
| Q35757022 | Simple Prognostic Criteria Can Definitively Identify Patients Who Develop Severe Versus Non-Severe Dengue Disease, or Have Other Febrile Illnesses |
| Q34431514 | Simple clinical and laboratory predictors of Chikungunya versus dengue infections in adults |
| Q28478345 | The early clinical features of dengue in adults: challenges for early clinical diagnosis |
| Q91676149 | The predictive and diagnostic accuracy of vascular endothelial growth factor and pentraxin-3 in severe dengue |
| Q64279306 | The score of integrated disease surveillance and response adequacy (SIA): a pragmatic score for comparing weekly reported diseases based on a systematic review |
| Q30740767 | The usefulness of clinical-practice-based laboratory data in facilitating the diagnosis of dengue illness |
| Q33441421 | The value of daily platelet counts for predicting dengue shock syndrome: Results from a prospective observational study of 2301 Vietnamese children with dengue |
| Q33405193 | Thrombocytopenia as a Predictor of Severe Acute Kidney Injury in Patients with Hantaan Virus Infections |
| Q57061707 | Use of structural equation models to predict dengue illness phenotype |
| Q91751477 | Validation of Decision Groups in Patients with Dengue Fever: A Study during 2015 Outbreak in Taiwan |
| Q41975393 | Validation of a clinical risk-scoring algorithm for severe scrub typhus |
| Q35141237 | Validation of an internally controlled one-step real-time multiplex RT-PCR assay for the detection and quantitation of dengue virus RNA in plasma |
| Q40214580 | Validation of dengue infection severity score |
| Q55343445 | Value of peripheral blood count for dengue severity prediction. |
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