
Biomedical engineering - Deep Learning @ETSIT_URJC Óscar Barquero-Pérez @obarquero, @miguelkr92, @my_phd_life, @rebe_goya
Fuenlabrada, Spain
Joined September 2020
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Non-invasive estimation of atrial fibrillation driver position using l... sciencedirect.com/science/ar…
Near infrared spectroscopy (NIRS) and machine learning as a promising ... sciencedirect.com/science/ar…
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🧵Muy decepcionado con @ANECAinfo y @UniversidadGob su desincentivo hacia la #multidisciplinariedad en la ciencia. Queremos avanzar, pero ¿cómo hacerlo si nos constriñen a áreas del conocimiento? El futuro está en las fronteras entre conocimientos. Dentro hilo enfadado:
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As an academic writing coach, here are the 5 most common mistakes I see researchers make when they write their Discussion sections.
A thread. 🧵
#PIchat #newPI #ECRchat
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Mistake #1: Providing paragraphs of background information
📝 The Introduction section is meant for context. In the Discussion section, any mentioned background info needs to be *discussed* together with your own findings.
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Mistake #2: Expecting the reader to have read all previous sections
💡 Tell the whole story by restating the problem you are solving with your study so that readers understand the motivation for your research.
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Mistake #3: Describing the purpose and result of each experiment
🔬 This should be provided in the Results section. The Discussion is for actually *discussing* your findings, i.e. how your study has changed the state of the art and what the potential implications are.
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Mistake #4: Too general implication statements
🌍 Avoid too broad statements that could mean everything and nothing. Be specific when you describe the potential implication of your findings even when some of them are speculative.
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Mistake #5: Skipping the discussion altogether
🚫 Discussion sections are helpful for fellow researchers, journal editors and also journalists! If you have a combined Results & Discussion section, don't forget to include the discussion part!
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TL;DR: The 5 most common mistakes in the Discussion section:
#1: Providing too much background info
#2: Not restating the motivation of your study
#3: Describing the purpose of each experiment
#4: Too general implication statements
#5: Skipping the discussion altogether
La alumna Sara Valiente, premiada por un trabajo que ayuda al tratamiento de las arritmias - Universidad Rey Juan Carlos urjc.es/todas-las-noticias-d…
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Last week, Corify Care technology was used in #HospitalGregorioMarañon and retransmitted for the XIX Ablation and navigation systems course
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Here, Dr. @atienza_felipe describes how the ACORYS MAPPING SYSTEM was used during a case of paroxysmal AF ablation and mitral stenosis valvuloplasty.
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Most grad school applications are due in less than a week! 📝If you're still adding those finishing touches, here are some tips to help you with the application process (1/8):
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Este archivo de configuración fija muchos parámetros de la figura una vez invocado.
Aquí os dejo el estilo que he usado yo para publicaciones científicas y que creo que funciona muy bien, aunque se puede retocar cualquier parámetro que consideréis.
github.com/RayleighLord/Rayl…
2o premio en la competición de estudiantes de GIB @caseib2022 @saravalij @urjc @ETSIT_URJC: gran trabajo
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Sesión de premios FENIN-SEIB para estudiantes de grado en ingeniería biomédica. El nivel de las presentaciones ha sido altísimo. Muchas gracias a todos los candidatos. #CASEIB2022 #XL #XLPerformance
biomedical urjc retweeted
Kaggle is a fundamentally powerful platform to learn data science🤖🚀
Here are the TOP 7 kaggle resources to learn data science and
solve complex data problems (Don't miss it!)
🧵👇
biomedical urjc retweeted
You should always work on improving your model evaluation skills.
Model evaluation is the worst taught skill in machine learning, and I believe the best way of improving is through practice.
But, this paper from @rasbt is by far my favorite single written resource:
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How to write scientific article? Step by step guide for beginners #phd #research #researcher #AcademicTwitter sciencedirect.com/science/ar…
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🤩10 reglas o consejos para escribir y estructurar un artículo científico
👥 Mensh y Kording (2017)
🔗 journals.plos.org/ploscompbi…
#datascience #analytics #science #papers #publish #dataviz
biomedical urjc retweeted
The New England Journal of Medicine @NEJM is featuring a short video on atrial fibrillation and ablation for patients and primary care physicians. Highly recommend. @paulzei
nejm.org/doi/full/10.1056/NE…
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Thank you all!
Thanks everyone for another epic CinC @CinC2022 ! So many great memory of seeing 350 of my closest friends in the friendly city of Tampere, Finland.






















