Literature DB >> 31000807

Ascent of machine learning in medicine.

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Year:  2019        PMID： 31000807     DOI： 10.1038/s41563-019-0360-1

Source DB:  PubMed          Journal:  Nat Mater        ISSN： 1476-1122            Impact factor:   43.841


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  13 in total

1.  Applications of Artificial Intelligence in Pediatric Oncology: A Systematic Review.

Authors:  Siddhi Ramesh; Sukarn Chokkara; Timothy Shen; Ajay Major; Samuel L Volchenboum; Anoop Mayampurath; Mark A Applebaum
Journal:  JCO Clin Cancer Inform       Date:  2021-12

2.  Identifying neuroanatomical and behavioral features for autism spectrum disorder diagnosis in children using machine learning.

Authors:  Yu Han; Donna M Rizzo; John P Hanley; Emily L Coderre; Patricia A Prelock
Journal:  PLoS One       Date:  2022-07-07       Impact factor: 3.752

3.  A Pragmatic Machine Learning Model To Predict Carbapenem Resistance.

Authors:  Ryan J McGuire; Sean C Yu; Philip R O Payne; Albert M Lai; M Cristina Vazquez-Guillamet; Marin H Kollef; Andrew P Michelson
Journal:  Antimicrob Agents Chemother       Date:  2021-06-17       Impact factor: 5.191

Review 4.  Machine Learning Approaches in COVID-19 Diagnosis, Mortality, and Severity Risk Prediction: A Review.

Authors:  Norah Alballa; Isra Al-Turaiki
Journal:  Inform Med Unlocked       Date:  2021-04-03

5.  Cognitive Impairment and Dementia in Primary Care: Current Knowledge and Future Directions Based on Findings From a Large Cross-Sectional Study in Crete, Greece.

Authors:  Antonios Bertsias; Emmanouil Symvoulakis; Chariklia Tziraki; Symeon Panagiotakis; Lambros Mathioudakis; Ioannis Zaganas; Maria Basta; Dimitrios Boumpas; Panagiotis Simos; Alexandros Vgontzas; Christos Lionis
Journal:  Front Med (Lausanne)       Date:  2020-11-23

6.  Deep learning of HIV field-based rapid tests.

Authors:  Valérian Turbé; Carina Herbst; Thobeka Mngomezulu; Sepehr Meshkinfamfard; Nondumiso Dlamini; Thembani Mhlongo; Theresa Smit; Valeriia Cherepanova; Koki Shimada; Jobie Budd; Nestor Arsenov; Steven Gray; Deenan Pillay; Kobus Herbst; Maryam Shahmanesh; Rachel A McKendry
Journal:  Nat Med       Date:  2021-06-17       Impact factor: 53.440

7.  Exploiting mutual information for the imputation of static and dynamic mixed-type clinical data with an adaptive k-nearest neighbours approach.

Authors:  Erica Tavazzi; Sebastian Daberdaku; Rosario Vasta; Andrea Calvo; Adriano Chiò; Barbara Di Camillo
Journal:  BMC Med Inform Decis Mak       Date:  2020-08-20       Impact factor: 2.796

Review 8.  Comparison of Conventional Statistical Methods with Machine Learning in Medicine: Diagnosis, Drug Development, and Treatment.

Authors:  Hema Sekhar Reddy Rajula; Giuseppe Verlato; Mirko Manchia; Nadia Antonucci; Vassilios Fanos
Journal:  Medicina (Kaunas)       Date:  2020-09-08       Impact factor: 2.430

9.  Application of a Machine Learning Technology in the Definition of Metabolically Healthy and Unhealthy Status: A Retrospective Study of 2567 Subjects Suffering from Obesity with or without Metabolic Syndrome.

Authors:  Davide Masi; Renata Risi; Filippo Biagi; Daniel Vasquez Barahona; Mikiko Watanabe; Rita Zilich; Gabriele Gabrielli; Pierluigi Santin; Stefania Mariani; Carla Lubrano; Lucio Gnessi
Journal:  Nutrients       Date:  2022-01-15       Impact factor: 5.717

10.  Identification of Autism in Children Using Static Facial Features and Deep Neural Networks.

Authors:  K K Mujeeb Rahman; M Monica Subashini
Journal:  Brain Sci       Date:  2022-01-12
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