Listar por materia "Data mining"
Mostrando publicaciones 1-7 de 7
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An approach for data mining of electronic health record data for suicide risk management: database analysis for clinical decision support
(2019)Background: In an electronic health context, combining traditional structured clinical assessment methods and routine electronic health–based data capture may be a reliable method to build a dynamic clinical decision-support ...
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Comparison of classification algorithms for the detection of bone weakness in students using anthropometric data
(2019)Low bone mineral density can lead to weak and fragile bones that lead to problems of osteoporosis and fractures in people, early detection can help their treatment. This research compares five data mining algorithms to ...
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Multi-label classification to predict antibiotic resistance from raw clinical MALDI-TOF mass spectrometry data
(2024)Antimicrobial resistance (AMR) poses a significant global health challenge, necessitating advanced predictive models to support clinical decision-making. In this study, we explore multi-label classification as a novel ...
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Psychiatric profiles of eHealth users evaluated using data mining techniques: cohort study
(2021)Background: New technologies are changing access to medical records and the relationship between physicians and patients. Professionals can now use e-mental health tools to provide prompt and personalized responses to ...
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Strategy based on data mining and MALDI-Mass spectrometry for control disease of SRS in Salmo Salar
(2018)Piscirickettsia salmonis is a highly transmissible pathogens that cause high mortality in farmed salmonids. In this way, new techniques based on mass spectrometry (MS) and machine learning were applied and combined in an ...
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The dynamics of two iron-oxidizing Acidithiobacillus strains in industrial copper sulfide heap-leaching
(2024)Several species within the Acidithiobacillus (At.) genus can derive energy from oxidizing ferrous iron and sulfur. Two bacterial strains according to their 16S rRNA gene sequences closely related to At. ferridurans and At. ...
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Using the random forest algorithm for searching behavior patterns in electronic health records
(2019)The search for information associated with qualitative data is usually done using data mining algorithms, the presented research analyzes data of patients with essential hypertension (HTA), patients who have developed ...