Trends and focus of machine learning applications for health research
Importance The use of machine learning applications related to health is rapidly increasing
and may have the potential to profoundly affect the field of health care. Objective To analyze …
and may have the potential to profoundly affect the field of health care. Objective To analyze …
Depression prevalence in postgraduate students and its association with gait abnormality
In recent years, an increasing number of university students are found to be at high risk of
depression. Through a large scale depression screening, this paper finds that around 6.5 …
depression. Through a large scale depression screening, this paper finds that around 6.5 …
[PDF][PDF] Machine Learning for Health (ML4H) 2019: What Makes Machine Learning in Medicine Different?
AV Dalca, MBA McDermott… - … Learning for Health …, 2020 - proceedings.mlr.press
The fifth Machine Learning for Health (ML4H 2019) workshop 1 was held on December 13,
2019, in conjunction with The thirty-third Conference on Neural Information Processing …
2019, in conjunction with The thirty-third Conference on Neural Information Processing …
Leveraging Structure and Knowledge in Clinical and Biomedical Representation Learning
M McDermott - 2022 - dspace.mit.edu
Datasets in the machine learning for health and biomedicine domain are often noisy,
irregularly sampled, only sparsely labeled, and small relative to the dimensionality of the …
irregularly sampled, only sparsely labeled, and small relative to the dimensionality of the …
Transfer learning to enhance amenorrhea status prediction in cancer and fertility data with missing values
234Collecting sufficient labelled training data for health and medical problems is difficult
(Antropova et al., 2018). Also, missing values are unavoidable in health and medical …
(Antropova et al., 2018). Also, missing values are unavoidable in health and medical …