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Connection Science, 2009
Modelling long-term dependencies in time series has proved very difficult to achieve with traditional machine-learning methods. This problem occurs when considering music data. In this paper, we introduce predictive models for melodies. We decompose melodic modelling into two subtasks.
Paiement, Jean-François +2 more
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Modelling long-term dependencies in time series has proved very difficult to achieve with traditional machine-learning methods. This problem occurs when considering music data. In this paper, we introduce predictive models for melodies. We decompose melodic modelling into two subtasks.
Paiement, Jean-François +2 more
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Models for Prediction Purposes
Journal of Mental Science, 1959It is natural for psychiatrists and others dealing with mental patients to enquire what the prognosis is for a patient showing certain symptoms or syndromes of symptoms—taking age and the history of the patient's illness into account. The very fact that the symptoms generally form syndromes points to their interdependence to a greater or lesser degree,
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Model Assessment for Predictive Classification Models
Communications in Statistics - Theory and Methods, 2010In this article, we present a novel methodology to assess predictive models for a binary target. In our opinion, the main weakness of the criteria proposed in the literature is not to take the financial costs of a wrong decision into account. The objective of this article is to derive the optimal cut-off in predictive classification models and to ...
UBERTI, PIERPAOLO, Figini S.
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Approaches to predictive modeling
The Annals of Thoracic Surgery, 1994A four-component clinical model for process improvement is presented: (1) patient-related risk factors, (2) clinical processes ordered by the attending physician, (3) the hospital's execution of the physician's plan, and (4) the patient's outcome, or outcomes, resulting from the first three factors.
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Building Fair Predictive Models
2020Algorithmic fairness is an important aspect when data is used for predictive purposes. This paper analyses the sources of discrimination, and proposes sufficient conditions for building non-discriminatory/fair predictive models in the presence of context attributes.
Jixue Liu +6 more
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A Model For Prediction Of Endometrial Cancer
Acta Obstetricia et Gynecologica Scandinavica, 1989An epidemiological statistical model was designed to identify women at low and high risk of developing endometrial cancer (EC). The model was based on a number of easily identified clinical factors such as hirsutism, parity, diabetes mellitus, body mass index (BMI) and smoking.
E, Dahlgren +4 more
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Applications of Prediction Models
2008In this chapter, we consider several areas of application of prediction models in public health, clinical practice, and medical research. We use several small case studies for illustration.
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Structure prediction and modelling
Current Biology, 1992Cracking the second fundamental code of molecular biology (how the tertiary structure of a protein is determined by its amino acid sequence) remains an elusive goal. However, the impetus to establish credible approximations, if not a definitive solution to this relationship, has never been greater.
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Predictive Resilience Modeling
2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S), 2022openaire +1 more source
IEEE Transactions on Neural Networks and Learning Systems, 2023
HongBo Gao, Yechen Qin, Chuan Hu
exaly
HongBo Gao, Yechen Qin, Chuan Hu
exaly