Meeting needs: How social interaction anxiety, zoom fatigue, relatedness, and demographics predict virtual meeting feature preferences by Chaeyun Lim, Alex P. Leith, Rabindra Ratan, Maxwell Foxman, Dalton Bouzek

Get full text

Predicting onward care needs at admission to reduce discharge delay using explainable machine learning by Chris Duckworth, Dan Burns, Carlos Lamas Fernandez, Mark Wright, Rachael Leyland, Matthew Stammers, Michael George, Michael Boniface

“…The model performance (one-vs-rest AUROC = 0.915 [0.907 0.924] (95% confidence interval), is comparable to clinician’s predictions of discharge care needs, despite working with only a subset of the information available to the clinician. …”
Get full text

Predicting intensive care need in women with preeclampsia using machine learning – a pilot study by Camilla Edvinsson, Ola Björnsson, Lena Erlandsson, Stefan R. Hansson

“…Background Predicting severe preeclampsia with need for intensive care is challenging. …”
Get full text

Prediction of the need for maintenance of rigid pavements using finite element models and artificial neural networks by Lorena Jacqueline Chamorro Chamorro, Elisa Dominguez Sotelino

Get full text

Predictive Modeling of Long-Term Care Needs in Traumatic Brain Injury Patients Using Machine Learning by Tee-Tau Eric Nyam, Kuan-Chi Tu, Nai-Ching Chen, Che-Chuan Wang, Chung-Feng Liu, Ching-Lung Kuo, Jen-Chieh Liao

“…A total of 44 features were included, utilizing four machine learning models and various feature combinations based on clinical significance and Spearman correlation coefficients. Predictive performance was evaluated using the area under the curve (AUC) of the receiver operating characteristic (ROC) curve and validated with the DeLong test and SHAP (SHapley Additive exPlanations) analysis. …”
Get full text

Use of hematological indices in severe septic acute kidney injury to predict hospital mortality and need for renal replacement therapy at discharge by Diana Carolina Vargas Ángel, Camilo Andrés Chaparro, Oscar Mauricio Muñoz, Kateir Contreras-Villamizar, Camilo Alberto González, Daniel Augusto Martín, Laura Viviana Galindo

Get full text

Predicting total healthcare demand using machine learning: separate and combined analysis of predisposing, enabling, and need factors by Fatih Orhan, Mehmet Nurullah Kurutkan

“…This study applies Andersen’s Behavioral Model of Health Services Use, focusing on predisposing, enabling, and need factors, using data from the 2022 Turkey Health Survey by TUIK. …”
Get full text

Predicting the needs of people living with a disability using the two-level logit-skewed exponential power model by Abayomi Ajayi, Olaniyi Olayiwola, Fadeke Apantaku, Idowu Osinuga, Oluwaseun Wale-Orojo

“…Cartograms were used to determine the spatial distribution for the proportion of doctor’s visit and cost using the predicted values. …”
Get full text

The Development of an Evidence-Based App to Predict the Need for Enhanced Care for People with Dementia by Sabina London, Shanquan Chen, Emad Sidhom, Christoph Mueller, Benjamin Underwood

Get full text

Prediction of vasopressor needs in hypotensive emergency department patients using serial arterial blood pressure data with deep learning by Yeongho Choi, Ki Hong Kim, Yoonjic Kim, Dong Hyun Choi, Yoon Ha Joo, Sae Won Choi, Kyoung Jun Song, Sang Do Shin

“…Conclusion This study used serial arterial blood pressure data to construct a promising prediction model for the need for vasopressors in hypotensive ED patients. …”
Get full text

Designing adaptable smart home environment based on resident's activity by Boban DAVIDOVIC, Zorica BOGDANOVIC, Katarina DJORDJEVIC, Aleksandra LABUS

“…Related to smart home adaptability, there is space for improvement and this research is trying to focus more on adapting smart home towards residents needs. Smart home system designed in this research features the following steps: collecting data via sensors, analyzing it, predicting behavior and adapting towards residents needs. …”
Get full text

User Need Prediction Based on a Small Amount of User-Generated Content—A Case Study of the Xiaomi SU7 by Lingling Liu, Biao Ma

“…For newly launched products with a limited presence in the market, the scarcity of UGC poses a challenge to businesses seeking to predict user needs from small datasets. (2) Methods: To address this challenge, this paper proposes a model using correlation analysis (CA) and linear regression (LR) combined with multidimensional gray prediction (a CA-LR-GM (1, N) model) to help enterprises use small sample data to predict user needs. …”
Get full text

A Solution for Predicting the Timespan Needed for Grinding Roller Bearing Rings by Cezarina Chivu, Mitica Afteni, Gabriel Radu Frumusanu, Florin Susac

“…In this paper, the HOM is presented as a solution for predicting the timespan needed for grinding roller bearing rings. …”
Get full text

Multidetector computed tomography to predict heavy bleeding and need for angiographic embolization in patients with postpartum hemorrhage by H.M. Kim, J.Y. Lee, W.J. Seong

Get full text

AI-Powered Prediction of Dental Space Maintainer Needs Using X-Ray Imaging: A CNN-Based Approach for Pediatric Dentistry by Aslıhan Yelkenci, Günseli Güven Polat, Emir Oncu, Fatih Ciftci

“…This study aimed to develop a deep learning model to predict the necessity of SMs and identify specific teeth requiring intervention. …”
Get full text

Fast and effective assessment for individuals with special needs form optimization and prediction models by Bilal Baris Alkan, Muhammet Kumartas, Serafettin Kuzucuk, Nesrin Alkan

“…Abstract The aim of this study was to determine which items in the psychological assessment forms used by counselling and research centres for individuals with special needs are effective in classifying individuals into special needs diagnostic categories. …”
Get full text

Plasma bioactive adrenomedullin predicts mortality and need for dialysis in critical COVID-19 by Patrik Johnsson, Theodor Sievert, Ingrid Didriksson, Hans Friberg, Attila Frigyesi

“…Bio-ADM on ICU admission, day 2 and day 7 predicted 90-day mortality and dialysis needs, highlighting bio-ADM’s importance in COVID-19 pathophysiology. …”
Get full text

Development and validation of machine learning classifiers for predicting treatment-needed retinopathy of prematurity by Nasser Shoeibi, Majid Abrishami, Seyedeh Maryam Hosseini, Mohammad-Reza Ansari-Astaneh, Razieh Farrahi, Bahareh Gharib, Fatemeh Neghabi, Mojtaba Abrishami, Mehdi Sakhaee, Mehrdad Motamed Shariati

Get full text

Comparing the performance of screening surveys versus predictive models in identifying patients in need of health-related social need services in the emergency department. by Olena Mazurenko, Adam T Hirsh, Christopher A Harle, Joanna Shen, Cassidy McNamee, Joshua R Vest

“…We built an XGBoost classification algorithm using responses from the screening questionnaire to predict HRSN needs (screening questionnaire model). …”
Get full text

Predicting Earthquake Casualties and Emergency Supplies Needs Based on PCA-BO-SVM by Fuyu Wang, Huiying Xu, Huifen Ye, Yan Li, Yibo Wang

“…The prediction of casualties in earthquake disasters is a prerequisite for determining the quantity of emergency supplies needed and serves as the foundational work for the timely distribution of resources. …”
Get full text