Complex Systems Studies
2.43K subscribers
1.55K photos
125 videos
116 files
4.54K links
What's up in Complexity Science?!
Check out here:

@ComplexSys

#complexity #complex_systems #networks #network_science

📨 Contact us: @carimi
Download Telegram
Forwarded from @TahaYasseri (Taha Yasseri)
This media is not supported in your browser
VIEW IN TELEGRAM
پیاده روی و پژوهش - فصل ۲ - قسمت ۱:

تولد ۲۰سالگی گوگل و رمز موفقیت موتور جستجوی آن

لینک آپارات: https://www.aparat.com/v/WGELY

@TahaYasseri
🗞 Scipy lecture notes new release: an open online book (also in PDF) on the scientific and data ecosystem in Python

http://www.scipy-lectures.org/

#pydata #scipy
caldarelli2018.pdf
642 KB
“Physics of humans, physics for society” discusses why Physics should deal with social systems and what are the challenges ahead of us.

https://t.co/Zap1R3RmR4
We are extremely happy to announce that the website of #WWCS2019 is already on-line!
https://t.co/yiCUxpFkgw
A lot of news coming up shortly.
Stay tuned!
Media is too big
VIEW IN TELEGRAM
📺 #پیشنهادی_برای_دیدن
دختر جبر ، زندگی مریم میرزاخانی
✍🏻به روایت فرزاد کاظم زاده
27دقیقه، 92 مگابایت⚠️
🆔 @ComplexSys
Earn your Master's in Data Science online from Syracuse in as few as 18 months. Bachelor's required. https://t.co/Fg8av4vTiV
〽️Weekly Seminars of Condensed Matter and Statistical Physics Group

📝Statistical physics of medical diagnostics

فیزیک آماری مسأله‌ی تشخیص بیماری

🗣 Speaker:

Dr. Abolfazl Ramezanpour
Department of Physics, Shiraz University

Wednesday, September 12, 2018 (۲۱ شهریور)
14:00-15:00

🏛Seminar Room (classroom A), Farmanieh Building, IPM

✍🏻Abstract:
Statistical physics has been widely used to extract macroscopic properties of a wide range of systems from their microscopic interaction models, yet it has not been employed to medical diagnostics. Given an initial subset of observed signs (symptoms, clinical and laboratory findings) with some prior knowledge about the patient (or a complex system like a biological cell), a diagnosis problem simply asks for the most probable diseases (or macrostates with specific phenotypes). An efficient and accurate diagnostic procedure is important specially in the early stages of diseases, where the number and quality of medical evidences are often insufficient to reach a definite diagnosis. Here, we use approximate inference and optimization algorithms of statistical physics to show that a simulation (extrapolation) of the diagnostic process (without doing any real observation) could be helpful as a heuristic strategy in the study of diagnosis problems.

🌐 @ComplexSys