Global prevalence of non-perennial rivers and streams

ML Messager, B Lehner, C Cockburn, N Lamouroux… - Nature, 2021 - nature.com
Flowing waters have a unique role in supporting global biodiversity, biogeochemical cycles
and human societies,,,–. Although the importance of permanent watercourses is well …

The promise of machine learning in predicting treatment outcomes in psychiatry

AM Chekroud, J Bondar, J Delgadillo… - World …, 2021 - Wiley Online Library
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 …

Predicting the performance of anaerobic digestion using machine learning algorithms and genomic data

F Long, L Wang, W Cai, K Lesnik, H Liu - Water research, 2021 - Elsevier
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 …

Machine learning algorithms for outcome prediction in (chemo) radiotherapy: An empirical comparison of classifiers

TM Deist, FJWM Dankers, G Valdes… - Medical …, 2018 - Wiley Online Library
Purpose Machine learning classification algorithms (classifiers) for prediction of treatment
response are becoming more popular in radiotherapy literature. General Machine learning …

Nested cross-validation when selecting classifiers is overzealous for most practical applications

J Wainer, G Cawley - Expert Systems with Applications, 2021 - Elsevier
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 …

Detecting weak and strong Islamophobic hate speech on social media

B Vidgen, T Yasseri - Journal of Information Technology & Politics, 2020 - Taylor & Francis
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 …

Predicting 90-day and 1-year mortality in spinal metastatic disease: development and internal validation

AV Karhade, QCBS Thio, PT Ogink, CM Bono… - …, 2019 - journals.lww.com
BACKGROUND Increasing prevalence of metastatic disease has been accompanied by
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

AV Karhade, QCBS Thio, PT Ogink, AA Shah… - …, 2019 - journals.lww.com
BACKGROUND Preoperative prognostication of short-term postoperative mortality in
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

D Zhang, SS Woo - IEEE Access, 2020 - ieeexplore.ieee.org
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 …