Comparison of time-to-event machine learning models in predicting biliary complication and mortality rate in liver transplant patients by Aref Andishgar, Sina Bazmi, Kamran B. Lankarani, Seyed Alireza Taghavi, Mohammad Hadi Imanieh, Gholamreza Sivandzadeh, Samira Saeian, Nazanin Dadashpour, Alireza Shamsaeefar, Mahdi Ravankhah, Hamed Nikoupour Deylami, Reza Tabrizi, Mohammad Hossein Imanieh

“…RSF with Ridge achieved the highest performance (C-index: 0.699) for BC prediction, while RSF with RSF had the highest performance (C-index: 0.784) for mortality prediction. …”
Get full text

A novel multi-source data-driven energy consumption prediction model for Venlo-type greenhouses in China by Yangda Chen, Aiqun Bao, Yapeng Li, Yingfeng Xiang, Wanlong Cai, Zhaoqiang Xia, Jialei Li, Mingyang Ning, Jing Sun, Haixi Zhang, Xianpeng Sun, Xiaoming Wei

Subjects: Get full text

An efficient artificial neural network-based optimization techniques for the early prediction of coronary heart disease: comprehensive analysis by Subhash Mondal, Ranjan Maity, Amitava Nag

“…The combined effect of approaches will be evidence of the modern healthcare decision-making support system for the risk prediction of CHD.…”
Get full text

Personalized prediction of anticancer potential of non-oncology drugs through learning from genome derived molecular pathways by Xiaobao Dong, Huanhuan Liu, Ting Tong, Liuxing Wu, Jianhua Wang, Tianyi You, Yongjian Wei, Xianfu Yi, Hongxi Yang, Jie Hu, Haitao Wang, Xiaoyan Wang, Mulin Jun Li

“…We systematically benchmarked the performance of CHANCE and show its predictions are better than previous model and highly interpretable. …”
Get full text

Correction: Integrating E-cadherin expression levels with TNM staging for enhanced prognostic prediction in colorectal cancer patients by Jae-Ghi Lee, Ilkyu Park, Hannah Lee, Seungyoon Nam, Jisup Kim, Won-Suk Lee, Myunghee Kang, Jung Ho Kim

Get full text

Drug-Gene Interaction Prediction Method through Cross Granularity Subgraph Contrastive Learning and Attention Mechanism Fusion by HU Dongdong, PENG Yang, TAN Shuqiu, ZHU Xiaofei

Subjects: “…gene-drug interaction prediction…”
Get full text

Multiclass Supervised Learning Approach for SAR-COV2 Severity and Scope Prediction: SC2SSP Framework by Shaik Khasim Saheb, B. Narayanan, T.V. Narayana Rao

“…The existing tools being used for predicting viruses exhibit various limitations. The severe pneumonia caused by the rapidly spreading coronavirus disease (COVID-19) is predicted to have a significant negative impact on the healthcare sector. …”
Get full text

Systematic Review and Meta-Analysis of the Y-Balance Test Lower Quarter: Reliability, Discriminant Validity, and Predictive Validity by Phillip Plisky, Katherine Schwartkopf-Phifer, Bethany Huebner, Mary Beth Garner, Garrett Bullock

“…Given the heterogeneity of injury prediction studies, a meta-analysis of these data was not possible. …”
Get full text

Optimizing alpha–beta filter for enhanced predictions accuracy in industrial applications using Mamdani fuzzy inference system by Junaid Khan, Muhammad Fayaz, Umar Zaman, Eunkyu Lee, Awatef Salim Balobaid, Muhammad Bilal, Kyungsup Kim

“…The model efficiently processes input from these sensors, refining the sensor data to filter out noise and improve prediction accuracy. The integration of MFIS significantly improves the system’s performance, significantly reducing the root mean square error (RMSE) and mean absolute error (MAE), which are critical indicators of predictive accuracy. …”
Get full text

Identification of HOXA9 methylation as an epigenetic biomarker predicting prognosis and guiding treatment choice in acute myeloid leukemia by Fei Xie, Ting-juan Zhang, Xin-long Zhang, Zi-jun Xu, Liang Qiao, Yun Wang, Yang-jing Zhao, Jun Qian, Jing-dong Zhou

Get full text

Automated Cattle Monitoring System for Calving Time Prediction Using Trajectory Data Embedded Time Series Analysis by Wai Hnin Eaindrar Mg, Thi Thi Zin, Pyke Tin, Masaru Aikawa, Kazayuki Honkawa, Yoichiro Horii

Subjects: Get full text

Methods of risk prediction and monitoring of treatment response rate of bleedings from esophageal varices in patients with liver cirrhosis by D. V. Garbuzenko

Subjects: Get full text

Predicting dengue incidence in high-risk areas of China through the integration of Southeast Asian and local meteorological factors by Shaowei Sang, Yiguan Wang, Qiyong Liu, Peng Chen, Chuanxi Li, Anran Zhang

Subjects: Get full text

Annotation-free deep learning for predicting gene mutations from whole slide images of acute myeloid leukemia by Bo-Han Wei, Xavier Cheng-Hong Tsai, Kuo-Jui Sun, Min-Yen Lo, Sheng-Yu Hung, Wen-Chien Chou, Hwei-Fang Tien, Hsin-An Hou, Chien-Yu Chen

“…We, therefore, propose a deep learning model based on multiple instance learning (MIL) with ensemble techniques to predict gene mutations from AML WSIs. Our model predicts NPM1 mutations and FLT3-ITD without requiring patch-level or cell-level annotations. …”
Get full text

Distributed cross-learning for equitable federated models - privacy-preserving prediction on data from five California hospitals by Tsung-Ting Kuo, Rodney A. Gabriel, Jejo Koola, Robert T. Schooley, Lucila Ohno-Machado

“…Abstract Quality improvement, clinical research, and patient care can be supported by medical predictive analytics. Predictive models can be improved by integrating more patient records from different healthcare centers (horizontal) or integrating parts of information of a patient from different centers (vertical). …”
Get full text

Evaluation of the Screening Performance of Ultrasonographic Abdominal Circumference and Estimated Fetal Weight in Predicting Small for Gestational Age Newborns by Yusuf Dal, Fatih Akkus, Sebnem Karagun, Ahmet Zeki Nessar, Sefanur Gamze Karaca, Hakan Aytan, Ayhan Coskun

“…The screening performances of AC and EFW were compared for predicting newborns with BW<10p and assessing neonatal outcomes. …”
Get full text

Predicting the risk of bone metastases in patients with newly diagnosed prostate cancer - Development and validation of a nomogram model. by Wei Xu, Guoyu Zhu, Xiaoxiang Wang, Xuebing Yan, Fujun Wang, Shanyi Li, Wenji Li

“…<h4>Objectives</h4>The aim of this study was to develop and validate a nomogram model that predicts the risk of bone metastasis (BM) in a prostate cancer (PCa) population.…”
Get full text

Fatigue life prediction of asphalt binders under variable loading levels based on dissipated pseudo-strain energy by Chenze Fang, Hui Li, Zhenxia Li, Yuanzhao Chen, Tengteng Guo

“…Miner’s criterion is popularized to develop the conventional fatigue life prediction model for estimating the service life corresponding to fixed loading level. …”
Get full text

A nomogram for predicting mortality risk in geriatric patients with hip fractures complicated by pneumonia: A multicenter study by Kaiming Zhang, Xiangwei Li, Yujia Xiao, Cheng Zhou, Yu Liu, Fan Zhen, Hao Zhang, Mao Nie

“…Multiple logistic regression was then used to identify independent risk factors for inpatient mortality in the P group and a nomogram was constructed to predict inpatient mortality. The predictive performance of the nomogram was assessed using receiver operating characteristic curves, decision curve analysis, and calibration curves. …”
Get full text

Predictive model of positive attitudes in Spanish health care students towards older people: assessment and associated factors by Jesús González-Moreno, Ana Isabel Agustí, Javier Guillem-Saiz, María Antonia Parra-Rizo, María Antonia Parra-Rizo, María Cantero-García

“…However, this work aims to not only quantify these attitudes but to study other associated variables and develop a predictive model of positive attitudes toward the older people in a sample of Spanish university students of health care careers.MethodsA total of 338 students were surveyed using a sociodemographic questionnaire and two validated scales: the Spanish versions of the Kogan Scale of Attitudes toward Older People (KAOP) and the Global Assessment of Character Strengths-24 (GACS-24). …”
Get full text