A systematic review of dengue outbreak prediction models: Current scenario and future directions. by Xing Yu Leung, Rakibul M Islam, Mohammadmehdi Adhami, Dragan Ilic, Lara McDonald, Shanika Palawaththa, Basia Diug, Saif U Munshi, Md Nazmul Karim

“…The reporting of methodology and model performance measures were inadequate in many of the existing prediction models. …”
Get full text

Predicting the distribution of Ixodes ricinus in Europe: integrating microclimatic factors into ecological niche models by Arda Cem Kuyucu, Olcay Hekimoglu, Ala Tabor

Get full text

Enhanced Performance of Wastewater Membrane Bioreactor Using Machine Learning Model’s Prediction and Optimization by Jia-Chi Jiang, Nien-Hsun Li, Mo Chen, Kuan-Chung Chen, Chih-Hua Chang

Subjects: Get full text

Prediction of virus-host associations using protein language models and multiple instance learning. by Dan Liu, Francesca Young, Kieran D Lamb, David L Robertson, Ke Yuan

“…It also identifies important viral proteins that significantly contribute to host prediction. The method combines a pre-trained large protein language model (ESM) and attention-based multiple instance learning to allow protein-orientated predictions. …”
Get full text

Artificial intelligence models predicting abnormal uterine bleeding after COVID-19 vaccination by Yunjeong Choi, Jaeyu Park, Hyejun Kim, Young Joo Lee, Yongbin Lee, Yong Sung Choi, Seung Geun Yeo, Jiseung Kang, Masoud Rahmati, Hayeon Lee, Dong Keon Yon, Jinseok Lee

“…We aimed to develop a machine learning (ML) model to predict post-vaccination AUB in women aged less than 50 years. …”
Get full text

Improving Cardiovascular Disease Prediction through Stratified Machine Learning Models and Combined Datasets by Tara Yousif Mawlood, Alla Ahmad Hassan, Rebwar Khalid Muhammed, Aso M. Aladdin, Tarik A. Rashid, Bryar A. Hassan

“…The integration of datasets, stratified sampling, and k-fold validation effectively enhanced model reliability while minimizing overfitting. These findings highlight the potential of ML to support early CVD diagnosis and lay the groundwork for future research on hybrid models and real-world clinical applications.…”
Get full text

Performance Comparison of Prediction of Hydraulic Jump Length Under Multiple Neural Network Models by Ziyuan Xu, Zirui Liu, Yingzi Peng

Get full text

Health literacy prediction models based on machine learning methods: a scoping review by PAN Xiang, TONG Yingge, LI Yixuan, NI Ke, CHENG Wenqian, XIN Mengyu, HU Yuying

Subjects: Get full text

The research of ARIMA, GM(1,1), and LSTM models for prediction of TB cases in China. by Daren Zhao, Huiwu Zhang, Qing Cao, Zhiyi Wang, Sizhang He, Minghua Zhou, Ruihua Zhang

“…The results showed that the LSTM was the optimal model, which can be achieved satisfactory performance for TB cases predictions in mainland China.…”
Get full text

A Study on the performance of Four Regression Models in Predicting Weather Temperature Based on Python by Li Taobei

“…Performance metrics were used to evaluate the models' predictive capacity. With the highest R2 value and the lowest error metrics, Random Forest Regression fared better than the other models, suggesting higher predictive accuracy, according to the data. …”
Get full text

Using resistor network models to predict the transport properties of solid-state battery composites by Lukas Ketter, Niklas Greb, Tim Bernges, Wolfgang G. Zeier

Get full text

Predicting Freeway Work Zone Capacity Distribution Based on Logistic Speed-Density Models by Chaoru Lu, Jing Dong, Anuj Sharma, Tingting Huang, Skylar Knickerbocker

“…Speed-volume-density relationship and capacity are key elements in modelling traffic operations, designing roadways, and evaluating facility performance. …”
Get full text

Prediction of groundwater level Sharif Abad catchment of Qom using WANN and GP models

“…In this study is predicted the groundwater level of Sharif Abad catchment using some artificial intelligence models. …”
Get full text

NeuroScale: evolutional scale-based protein language models enable prediction of neuropeptides by Hongqi Zhang, Shanghua Liu, Wei Su, Xueqin Xie, Junwen Yu, Fuying Dao, Mi Yang, Hao Lyu, Hao Lin

“…Results In this study, we introduce NeuroScale, a multi-channel neural network model leveraging evolutionary scale modeling (ESM) for the precise prediction of NPs. …”
Get full text

Construction and validation of risk prediction models for renal replacement therapy in patients with acute pancreatitis by Fei Zuo, Lei Zhong, Jie Min, Jinyu Zhang, Longping Yao

Subjects: Get full text

Predicting vector distribution in Europe: at what sample size are species distribution models reliable? by Lianne Mitchel, Lianne Mitchel, Guy Hendrickx, Ewan T. MacLeod, Cedric Marsboom, Cedric Marsboom

“…IntroductionSpecies distribution models can predict the spatial distribution of vector-borne diseases by forming associations between known vector distribution and environmental variables. …”
Get full text

How mathematical models might predict desertification from global warming and dust pollutants by Eman Hakeem, Shireen Jawad, Ali Hasan Ali, Mohamed Kallel, Husam A. Neamah

Get full text

MRI-based deep transfer learning models for predicting progesterone receptor expression in meningioma by Song Gao, Li Zhao, Nan Li, Xiaoming Zhou, Chongfeng Duan

“…The predictive models were built via logistic regression (LR), support vector machine (SVM) and naive Bayes. …”
Get full text

Genome‐scale models of metabolism and gene expression extend and refine growth phenotype prediction by Edward J O'Brien, Joshua A Lerman, Roger L Chang, Daniel R Hyduke, Bernhard Ø Palsson

“…Growth requirements are well‐characterized experimentally for many microbes; however, we lack a unified model for cellular growth. Such a model must be predictive of events at the molecular scale and capable of explaining the high‐level behavior of the cell as a whole. …”
Get full text

Efficient multi-station air quality prediction in Delhi with wavelet and optimization-based models. by Lakshmi Sankar, Krishnamoorthy Arasu

“…Precise and efficient prediction of air quality is essential for successful mitigation and policy formulation. …”
Get full text