Machine learning to predict pregnancy outcomes: a systematic review, synthesizing framework and future research agenda
Abstract Machine Learning (ML) has been widely used in predicting the mode of childbirth
and assessing the potential maternal risks during pregnancy. The primary aim of this review …
and assessing the potential maternal risks during pregnancy. The primary aim of this review …
Re-focusing explainability in medicine
L Arbelaez Ossa, G Starke, G Lorenzini… - Digital …, 2022 - journals.sagepub.com
Using artificial intelligence to improve patient care is a cutting-edge methodology, but its
implementation in clinical routine has been limited due to significant concerns about …
implementation in clinical routine has been limited due to significant concerns about …
A machine-learning-based prediction method for hypertension outcomes based on medical data
W Chang, Y Liu, Y Xiao, X Yuan, X Xu, S Zhang… - Diagnostics, 2019 - mdpi.com
The outcomes of hypertension refer to the death or serious complications (such as
myocardial infarction or stroke) that may occur in patients with hypertension. The outcomes …
myocardial infarction or stroke) that may occur in patients with hypertension. The outcomes …
T2g-former: organizing tabular features into relation graphs promotes heterogeneous feature interaction
Recent development of deep neural networks (DNNs) for tabular learning has largely
benefited from the capability of DNNs for automatic feature interaction. However, the …
benefited from the capability of DNNs for automatic feature interaction. However, the …
Artificial intelligence in the IVF laboratory: overview through the application of different types of algorithms for the classification of reproductive data
EI Fernandez, AS Ferreira, MHM Cecílio… - Journal of assisted …, 2020 - Springer
Over the past years, the assisted reproductive technologies (ARTs) have been accompanied
by constant innovations. For instance, intracytoplasmic sperm injection (ICSI), time-lapse …
by constant innovations. For instance, intracytoplasmic sperm injection (ICSI), time-lapse …
Machine learning predicts live-birth occurrence before in-vitro fertilization treatment
A Goyal, M Kuchana, KPR Ayyagari - Scientific reports, 2020 - nature.com
In-vitro fertilization (IVF) is a popular method of resolving complications such as
endometriosis, poor egg quality, a genetic disease of mother or father, problems with …
endometriosis, poor egg quality, a genetic disease of mother or father, problems with …
Danets: Deep abstract networks for tabular data classification and regression
Tabular data are ubiquitous in real world applications. Although many commonly-used
neural components (eg, convolution) and extensible neural networks (eg, ResNet) have …
neural components (eg, convolution) and extensible neural networks (eg, ResNet) have …
Development and validation of a deep learning model for predicting treatment response in patients with newly diagnosed epilepsy
Importance Selection of antiseizure medications (ASMs) for epilepsy remains largely a trial-
and-error approach. Under this approach, many patients have to endure sequential trials of …
and-error approach. Under this approach, many patients have to endure sequential trials of …
Making pre-trained language models great on tabular prediction
The transferability of deep neural networks (DNNs) has made significant progress in image
and language processing. However, due to the heterogeneity among tables, such DNN …
and language processing. However, due to the heterogeneity among tables, such DNN …
Tabcaps: A capsule neural network for tabular data classification with bow routing
Records in a table are represented by a collection of heterogeneous scalar features.
Previous work often made predictions for records in a paradigm that processed each feature …
Previous work often made predictions for records in a paradigm that processed each feature …