Event prediction in the big data era: A systematic survey
L Zhao - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Events are occurrences in specific locations, time, and semantics that nontrivially impact
either our society or the nature, such as earthquakes, civil unrest, system failures …
either our society or the nature, such as earthquakes, civil unrest, system failures …
Large-scale analysis of counseling conversations: An application of natural language processing to mental health
Mental illness is one of the most pressing public health issues of our time. While counseling
and psychotherapy can be effective treatments, our knowledge about how to conduct …
and psychotherapy can be effective treatments, our knowledge about how to conduct …
Unsupervised learning of disease progression models
Chronic diseases, such as Alzheimer's Disease, Diabetes, and Chronic Obstructive
Pulmonary Disease, usually progress slowly over a long period of time, causing increasing …
Pulmonary Disease, usually progress slowly over a long period of time, causing increasing …
Expecting to be hip: Hawkes intensity processes for social media popularity
Modeling and predicting the popularity of online content is a significant problem for the
practice of information dissemination, advertising, and consumption. Recent work analyzing …
practice of information dissemination, advertising, and consumption. Recent work analyzing …
Predictive modeling of the progression of Alzheimer's disease with recurrent neural networks
The number of service visits of Alzheimer's disease (AD) patients is different from each other
and their visit time intervals are non-uniform. Although the literature has revealed many …
and their visit time intervals are non-uniform. Although the literature has revealed many …
[HTML][HTML] Septic shock prediction for ICU patients via coupled HMM walking on sequential contrast patterns
Background and objective Critical care patient events like sepsis or septic shock in intensive
care units (ICUs) are dangerous complications which can cause multiple organ failures and …
care units (ICUs) are dangerous complications which can cause multiple organ failures and …
Eventthread: Visual summarization and stage analysis of event sequence data
Event sequence data such as electronic health records, a person's academic records, or car
service records, are ordered series of events which have occurred over a period of time …
service records, are ordered series of events which have occurred over a period of time …
Visual progression analysis of event sequence data
Event sequence data is common to a broad range of application domains, from security to
health care to scholarly communication. This form of data captures information about the …
health care to scholarly communication. This form of data captures information about the …
Influence of medical domain knowledge on deep learning for Alzheimer's disease prediction
Background and objective Alzheimer's disease (AD) is the most common type of dementia
that can seriously affect a person's ability to perform daily activities. Estimates indicate that …
that can seriously affect a person's ability to perform daily activities. Estimates indicate that …