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Global prevalence of non-perennial rivers and streams
Flowing waters have a unique role in supporting global biodiversity, biogeochemical cycles
and human societies,,,–. Although the importance of permanent watercourses is well …
and human societies,,,–. Although the importance of permanent watercourses is well …
The promise of machine learning in predicting treatment outcomes in psychiatry
For many years, psychiatrists have tried to understand factors involved in response to
medications or psychotherapies, in order to personalize their treatment choices. There is …
medications or psychotherapies, in order to personalize their treatment choices. There is …
Predicting the performance of anaerobic digestion using machine learning algorithms and genomic data
Modeling of anaerobic digestion (AD) is crucial to better understand the process dynamics
and to improve the digester performance. This is an essential yet difficult task due to the …
and to improve the digester performance. This is an essential yet difficult task due to the …
Machine learning algorithms for outcome prediction in (chemo) radiotherapy: An empirical comparison of classifiers
Purpose Machine learning classification algorithms (classifiers) for prediction of treatment
response are becoming more popular in radiotherapy literature. General Machine learning …
response are becoming more popular in radiotherapy literature. General Machine learning …
Nested cross-validation when selecting classifiers is overzealous for most practical applications
When selecting a classification algorithm to be applied to a particular problem, one has to
simultaneously select the best algorithm for that dataset and the best set of hyperparameters …
simultaneously select the best algorithm for that dataset and the best set of hyperparameters …
Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease
Prognostic modelling is important in clinical practice and epidemiology for patient
management and research. Electronic health records (EHR) provide large quantities of data …
management and research. Electronic health records (EHR) provide large quantities of data …
Detecting weak and strong Islamophobic hate speech on social media
Islamophobic hate speech on social media is a growing concern in contemporary Western
politics and society. It can inflict considerable harm on any victims who are targeted, create a …
politics and society. It can inflict considerable harm on any victims who are targeted, create a …
Predicting 90-day and 1-year mortality in spinal metastatic disease: development and internal validation
BACKGROUND Increasing prevalence of metastatic disease has been accompanied by
increasing rates of surgical intervention. Current tools have poor to fair predictive …
increasing rates of surgical intervention. Current tools have poor to fair predictive …
Development of machine learning algorithms for prediction of 30-day mortality after surgery for spinal metastasis
BACKGROUND Preoperative prognostication of short-term postoperative mortality in
patients with spinal metastatic disease can improve shared decision making around end-of …
patients with spinal metastatic disease can improve shared decision making around end-of …
Real time localized air quality monitoring and prediction through mobile and fixed IoT sensing network
Air pollution and its harm to human health has become a serious problem in many cities
around the world. In recent years, research interests in measuring and predicting the quality …
around the world. In recent years, research interests in measuring and predicting the quality …