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  1. 5901
    “…The diagnostic and predictive accuracy, precision, confusion matrix, recall, F1-score, Matthews Correlation Coefficient (MCC), Cohen Kappa, were calculated using the deep CNN algorithm in Python. RESULTS: The periapical radiograph dataset was divided randomly into 70% training, 20% validation, and 10% testing datasets. …”
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    Online Artículo Texto
    Artificial intelligence (AI) diagnostic tools: utilizing a convolutional neural network (CNN) to assess periodontal bone level radiographically—a retrospective study
  2. 5902
    “…The IRT-toolbox, designed in Python, consisted of image pre-alignment and non-rigid image registration. …”
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    The Infrared Thermography Toolbox: An Open-access Semi-automated Segmentation Tool for Extracting Skin Temperatures in the Thoracic Region including Supraclavicular Brown Adipose Tissue
  3. 5903
    “…Endometrial biopsy was performed on premenopausal women with abnormal uterine bleeding and asymptomatic premenopausal women with suspected endometrial lesions. Python was used to model machine learning algorithms. …”
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    Artificial intelligence for prediction of endometrial intraepithelial neoplasia and endometrial cancer risks in pre- and postmenopausal women
  4. 5904
    por Park, Susan, Suh, Young-Kyoon
    Publicado 2023
    “…We ran a suite of analyses using various Python packages, such as latent Dirichlet allocation, hierarchical latent Dirichlet allocation, and sentiment analysis. …”
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    Online Artículo Texto
    A Comprehensive Analysis of COVID-19 Vaccine Discourse by Vaccine Brand on Twitter in Korea: Topic and Sentiment Analysis
  5. 5905
    “…A program written in Python was used to investigate the efficacy of the program’s algorithms and the relationship between variables in polysomnography (sleep stage, apnea-hypopnea index or AHI, oxygen-related variables) and mouth puffing signals (MPSs). …”
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    Mouth puffing phenomena of patients with obstructive sleep apnea when mouth-taped: device’s efficacy confirmed with physical video observation
  6. 5906
    “…We present ancIBD, a method to identify IBD segments for human aDNA data implemented as a Python package. Our approach is based on a Hidden Markov Model, using as input genotype probabilities imputed based on a modern reference panel of genomic variation. …”
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    ancIBD - Screening for identity by descent segments in human ancient DNA
  7. 5907
    “…The addition of ‘N’ (0–10) spacers causes sequencing frameshift at every base that leads to base diversity and produces heterogeneous high quality reads within a single amplicon library. We have written a python based command-line software,“MetReTrim”, to trim the ‘N’ (0–10) spacers from the raw reads (https://github.com/Mohak91/MetReTrim). …”
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    High-quality single amplicon sequencing method for illumina MiSeq platform using pool of ‘N’ (0–10) spacer-linked target specific primers without PhiX spike-in
  8. 5908
    “…All analysis was performed in Python. RESULTS: Individual pressure readings. There was a negative correlation between individual ABP and Peak CVP pressure readings (R= -0.539, p=0<0.001). …”
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    Lowest peak central venous pressure correlates with highest invasive arterial blood pressure as a method for optimising AV delay in post-surgical temporary pacing
  9. 5909
    “…ReporTree is implemented in python 3.8 and is freely available at https://github.com/insapathogenomics/ReporTree. …”
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    ReporTree: a surveillance-oriented tool to strengthen the linkage between pathogen genetic clusters and epidemiological data
  10. 5910
    “…METHODS: U-MAS is a platform-independent ecosystem developed in Python that leverages the Twitter V2 application programming interface and the Elastic Stack. …”
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    Tweeting for Health Using Real-time Mining and Artificial Intelligence–Based Analytics: Design and Development of a Big Data Ecosystem for Detecting and Analyzing Misinformation on Twitter
  11. 5911
    “…Two open-source software programs, 3D Slicer and Python, were used to segment lung tumours and extract radiomic features from (18)F-FDG-PET images. …”
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    Ability of (18)F-FDG Positron Emission Tomography Radiomics and Machine Learning in Predicting KRAS Mutation Status in Therapy-Naive Lung Adenocarcinoma
  12. 5912
    “…RESULTS: After implementing the NLP approach in Python, F1 scores were calculated as a measure of NLP performance: 0.26 (unstructured question 1, n = 96), 0.33 (unstructured question 2, n = 327), and 0.5 (more structured question, n = 111). …”
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    Natural language processing for automatic evaluation of free-text answers — a feasibility study based on the European Diploma in Radiology examination
  13. 5913
    “…All data generated by the research will be analyzed and processed by statistical software (such as SPSS 21.0, Python 3.0, etc.), and part of the research data will be displayed in the form of graphs and tables. …”
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    Multidomain interventions for non-pharmacological enhancement (MINE) program in Chinese older adults with mild cognitive impairment: a multicenter randomized controlled trial protocol
  14. 5914
    “…We collected and analyzed tweets related to breastfeeding and COVID-19 during the pandemic from January 2020 to May 2022. We used Python software (v3.9.0) for all data processing and analyses. …”
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    Twitter discussions on breastfeeding during the COVID-19 pandemic
  15. 5915
    “…Software package, Feyn in Python, was used for the model development and visualizations. …”
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    315. An Interpretable Machine Learning Model Using The Gut Microbiome to Predict Clinical E. faecium Infection in Human Stem-Cell Transplant Recipients
  16. 5916
    “…Following MaxFiltering, data was processed using MNE for Python. Data were filtered offline (40Hz lowpass) and epoched at -300ms to 800ms post- target stimulus onset. …”
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    T63. TOWARDS A COMPREHENSIVE SEMANTIC MEMORY NETWORK IN SCHIZOPHRENIA: PRELIMINARY RESULTS USING MAGNETOENCEPHALOGRAPHY (MEG) IN SCHIZOTYPY
  17. 5917
    “…Topic analysis to determine the content of tweets was done using latent Dirichlet allocation in Python, using a Java implementation, LdaMallet, with Gensim wrapper. …”
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    Geographic Differences in Cannabis Conversations on Twitter: Infodemiology Study
  18. 5918
    “…Whole-genome sequencing (Illumina HiSeq) followed by SPAdes assembling, Prokka annotation in combination with an in-house Python program and resistance gene detection by ResFinder identified the same six β-lactamase genes in both isolates: bla(NDM-1), bla(VIM-2), bla(CTX-M-15), bla(OXA-10), bla(CMY-2) and bla(TEM-1). …”
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    Genome-based characterization of two Colombian clinical Providencia rettgeri isolates co-harboring NDM-1, VIM-2, and other β-lactamases
  19. 5919
    “…Items were extracted from each report using regular expressions in Python. Unstructured data, such as text that does not have a pattern, were handled with expert advice by adding regular expression rules. …”
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    Transformation of Pathology Reports Into the Common Data Model With Oncology Module: Use Case for Colon Cancer
  20. 5920
    “…RESULTS: We screened 827 eukaryotic proteomes with a newly developed Python-based algorithm for the presence of ALPHs and used the data to characterize the phylogenetic distribution, conserved features, additional domains and predicted intracellular localisation of this protein family. …”
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    Online Artículo Texto
    Is mRNA decapping by ApaH like phosphatases present in eukaryotes beyond the Kinetoplastida?
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