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  1. 1361
    Does One Treatment Fit All? Effectiveness of a Multicomponent Cognitive Behavioral Therapy Program in Data-Driven Subtypes of Perinatal Depression
    por Ahmed Waqas, Atif Rahman
    Publicado 2021
    Materias: “...machine learning...”
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  2. 1362
    Fecal Microbiota Signatures Are Associated with Response to Ustekinumab Therapy among Crohn’s Disease Patients
    Materias: “...machine learning...”
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  3. 1363
    A Genome-Based Model to Predict the Virulence of <named-content content-type="genus-species">Pseudomonas aeruginosa</named-content> Isolates
    Materias: “...machine learning...”
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  4. 1364
    Artificial Intelligence: An Interprofessional Perspective on Implications for Geriatric Mental Health Research and Care
    Materias: “...machine learning...”
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  5. 1365
    Performance Study of N-grams in the Analysis of Sentiments
    Materias: “...machine learning...”
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  6. 1366
    Serum Predose Metabolic Profiling for Prediction of Rosuvastatin Pharmacokinetic Parameters in Healthy Volunteers
    Materias: “...machine learning...”
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  7. 1367
    Genomic Variation Prediction: A Summary From Different Views
    por Xiuchun Lin
    Publicado 2021
    Materias: “...machine learning...”
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  8. 1368
    Federated Learning for Microvasculature Segmentation and Diabetic Retinopathy Classification of OCT Data
    Materias: “...Machine learning...”
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  9. 1369
    Editorial: From Apicomplexan Genes to Drug Discovery
    Materias: “...machine learning...”
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  10. 1370
    Can we screen for pancreatic cancer? Identifying a sub-population of patients at high risk of subsequent diagnosis using machine learning techniques applied to primary care data.
    “... were used to identify 57 individual symptoms. Using a machine learning approach, we trained a logistic...”
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  11. 1371
    Diagnostic accuracy of adenosine deaminase for pleural tuberculosis in a low prevalence setting: A machine learning approach within a 7-year prospective multi-center study.
    “... with other parameters routinely measured in clinical practice and assisted by machine learning algorithms...”
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  12. 1372
    Understanding Medical Distrust Among African American/Black and Latino Persons Living With HIV With Sub-Optimal Engagement Along the HIV Care Continuum: A Machine Learning Approach
    “...-narratives), HIV history, and mental health. We used a type of machine learning called random forest...”
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  13. 1373
    Improved Classification Models to Distinguish Natural from Anthropic Oil Slicks in the Gulf of Mexico: Seasonality and Radarsat-2 Beam Mode Effects under a Machine Learning Approach
    Materias: “...machine learning (ML)...”
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  14. 1374
    Gene Essentiality Analyzed by <italic toggle="yes">In Vivo</italic> Transposon Mutagenesis and Machine Learning in a Stable Haploid Isolate of <italic toggle="yes">Candida albicans</italic>
    Materias: “...machine learning...”
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  15. 1375
    Transcriptional Profiling and Machine Learning Unveil a Concordant Biosignature of Type I Interferon-Inducible Host Response Across Nasal Swab and Pulmonary Tissue for COVID-19 Diagnosis
    Materias: “...machine learning...”
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  16. 1376
    Moving Toward L‐Band NASA‐ISRO SAR Mission (NISAR) Dense Time Series: Multipolarization Object‐Based Classification of Wetlands Using Two Machine Learning Algorithms
    Materias: “...machine learning...”
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  17. 1377
    Diagnostic accuracy of adenosine deaminase for pleural tuberculosis in a low prevalence setting: A machine learning approach within a 7-year prospective multi-center study
    “... with other parameters routinely measured in clinical practice and assisted by machine learning algorithms...”
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  18. 1378
    Machine Translation in Low-Resource Languages by an Adversarial Neural Network
    Materias: “...machine learning...”
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  19. 1379
    Predictive analytics for economic crisis triggered depression risk level identification among some adults in Nigeria
    Materias: “...Machine learning...”
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  20. 1380
    Smart Tutoring System: A Predictive Personalized Feedback in a Pedagogical Sequence
    Materias: “...machine learning...”
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