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The intersection of Health Data Science and Artificial Intelligence (AI) with Neuroscience and psychology represents a burgeoning field that promises to revolutionize our understanding of the human mind and brain. By harnessing the power of vast datasets—from behavioral and cognitive data to neuroimaging and ...
10 Δεκ 2018 · Russ et al. discuss the broad applications of data science to mental health research and consider future ways that big data can improve detection, diagnosis, treatment, healthcare...
12 Ιουλ 2020 · It provides a synthesis of the scientific literature evaluating how digitally derived empirical data can inform our understanding of health behavior, with a particular focus on understanding...
1 Ιαν 2022 · Big data plays an important role in the field of mental health in prediction, automation, and analysis of such disorders. We explore how big data was exploited in mental health, addressing the volume, velocity, veracity, and variety of collected data.
Researchers envision studies that could link such personal data to health and productivity to reveal patterns or links between behavior and various outcomes of interest. It is apparent that big data or data science is here to stay, with or without psychology.
The case for data science is often made for oncology, cardiology, and infectious diseases. Here we argue for the enormous potential of data science to transform mental health research and clinical practice worldwide. International collaboration will be necessary for maximum reach and impact.
Researchers envision studies that could link such personal data to health and productivity to reveal patterns or links between behav-ior and various outcomes of interest. It is apparent that big data or data science is here to stay, with or without psychology. This broad-and-growing field offers a
