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AI Clinics on Mobile (AICOM): Universal AI Doctors for the Underserved and Hard-to-Reach
This paper introduces Artificial Intelligence Clinics on Mobile (AICOM), an open-source project devoted to answering the United Nations Sustainable Development Goal 3 (SDG3) on health, which represents a universal recognition that health is fundamental to human capital and social and economic development.
Pattern recognition in micro-trading behaviors before stock price jumps: A framework based on multivariate time series analysis
The individual and joint informativeness levels of the attributes in predicting price jumps are evaluated and compared.
Predicting intraday jumps in stock prices using liquidity measures and technical indicators
The result provides initial evidence of the predictability of jump arrivals and jump directions using level-2 stock data as well as the effectiveness of using a combination of liquidity measures and technical indicators in this prediction.
Markov Random Fields and Mass Spectra Discrimination
We also outline the successful tests of our approach to generate efficient explicit signatures for six benchmark discrimination tasks, based on mass spectra acquired from colorectal cancer patients, as well as from ovarian cancer patients.
