Cervical cancer survival prediction by machine learning algorithms: a systematic review by Milad Rahimi, Atieh Akbari, Farkhondeh Asadi, Hassan Emami

“…The main inclusion criterion was machine learning algorithms for predicting cervical cancer survival. The information extracted from the articles included authors, publication year, dataset details, survival type, evaluation criteria, machine learning models, and the algorithm execution method. …”
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Seroprevalence of Dengue and Chikungunya antibodies among blood donors in Dar es Salaam and Zanzibar, Tanzania: a cross-sectional study by Haliya S. Shauri, Esther Ngadaya, Mbazi Senkoro, Joram J. Buza, Sayoki Mfinanga

“…A total of 281 samples were included in the study, and their demographic information extracted from the registers. The samples were then transported to Muhimbili University of Health and Allied Sciences at the Microbiology Laboratory. …”
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A STEP TOWARDS DYNAMIC SCENE ANALYSIS WITH ACTIVE MULTI-VIEW RANGE IMAGING SYSTEMS by M. Weinmann, B. Jutzi

“…In the latter case, the relation between different observations has to be estimated by using information extracted from the captured data and then, a limited field of view may lead to problems if there are too many moving objects within it. …”
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Currency Hedging Strategies Using Histogram-Valued Data: Bivariate Markov Switching GARCH Models by Paravee Maneejuk, Nootchanat Pirabun, Suphawit Singjai, Woraphon Yamaka

“…Using data at 5-min, 30-min, and 60-min intervals or high-frequency data, however, means the use of a relatively large number of observations for information extractions in general and econometric model estimations, making data processing and analysis a rather time-consuming and complicated task. …”
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Multi-State Online Estimation of Lithium-Ion Batteries Based on Multi-Task Learning by Xiang Bao, Yuefeng Liu, Bo Liu, Haofeng Liu, Yue Wang

“…The separated expert layer, consisting of task-specific and shared experts, extracts features specific to different tasks and shared features for multiple tasks. The information extracted by different experts is fused through a gate structure. …”
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Using deep learning to detect an indicator arid shrub in ultra-high-resolution UAV imagery by Angus Retallack, Graeme Finlayson, Bertram Ostendorf, Megan Lewis

“…The influence of variability between sites on detection accuracy is also considered.The best performing models achieved F1 scores (overall accuracy) of around 75% for pearl bluebush detection, a level of accuracy that provides useful monitoring information to land managers. Information extracted from UAV imagery using this approach relates directly to indicators of ecological condition measured in ground-based monitoring; including dominant plant species count, location and density. …”
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Global Systematic Review of Methodological Approaches to Analyze Coastal Shelf Food Webs by Eleni Kytinou, Eleni Kytinou, Maria Sini, Yiannis Issaris, Yiannis Issaris, Stelios Katsanevakis

“…Out of 1652 published articles that initially met our search criteria, 880 passed the initial screening and 493 were found relevant and were fully analyzed. The information extracted included the spatiotemporal coverage of the studies; the main methodological approaches utilized for the assessment of population state variables (i.e., biomass, size, abundance) and trophic levels; the biotic components and driving factors considered; indices used to describe the structure and functioning of coastal food webs; and main knowledge gaps. …”
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A prospective evaluation of inter-rater agreement of routine medical records audits at a large general hospital in São Paulo, Brazil by Ana Carolina Cintra Nunes Mafra, João Luiz Miraglia, Fernando Antonio Basile Colugnati, Gilberto Soares Lourenço Padilha, Renata Rafaella Santos Tadeucci, Ederson Almeida, Mario Maia Bracco

“…However, the reliability of the information extracted from the records is a matter of concern in audit processes to ensure inter-rater agreement (IRA). …”
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Deep neural networks for choice analysis: Extracting complete economic information for interpretation by Wang, Shenhao, Wang, Qingyi, Zhao, Jinhua

“…We found that the economic information either aggregated over trainings or population is more reliable than the disaggregate information of the individual observations or trainings, and that larger sample size, hyperparameter searching, model ensemble, and effective regularization can significantly improve the reliability of the economic information extracted from the DNNs. Future studies should investigate the requirement of sample size, better ensemble mechanisms, other regularizations and DNN architectures, better optimization algorithms, and robust DNN training methods to address DNNs three challenges to provide more reliable economic information for DNN-based choice models.…”
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An ultra-low-power neural recording amplifier and its use in adaptively-biased multi-amplifier arrays by Wattanapanitch, Woradorn

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INTEGRATING OF PYROCLASTIC FLOW HAZARD ASSESSMENT INTO ZONING SYSTEM OF GUNUNG MERAPI NATIONAL PARK by , ST. Agung Triono Hermawan, , Dr. DJAROT SADARTHO WIDYATMOKO, M.Sc

“…While the zoning system of GMNP was obtained through localizing, qualifying, and overlying of 6 factors: the pyroclastic flow assessment, biodiversity, plant succession, potential environmental services (ecotourism), important information extracted from the existing zoning system and regulation. …”

Computer-aided diagnosis of diabetic subjects by heart rate variability signals using discrete wavelet transform method by Acharya, U.R., Sudarshan, V.K., Ghista, D.N., Lim, W.J.E., Molinari, F., Sankaranarayanan, M.

“…The present work aims at developing an automated system for classification of normal and diabetes classes by using the heart rate (HR) information extracted from the Electrocardiogram (ECG) signals. …”
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Wave Spectra and Shoreline Change Studies by Remote Sensing by Marghany, Maged Mahmoud

“…This study investigates if the shoreline change can be modeled by wave spectra information extracted from radar images. The study area is Kuala Terengganu, located on the East Coast of Peninsular Malaysia. …”
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Global trends in research related to functional dyspepsia and anxiety or depression over the past two decades: a bibliometric analysis by Qian Huang, Qian Huang, Huixiao Yuan, Huixiao Yuan, Qingqing Li, Qingqing Li, Yang Li, Yang Li, Shasha Geng, Shasha Geng, Yingqian Zhu, Yingqian Zhu, Min Liao, Min Liao, Hua Jiang, Hua Jiang

“…This study aimed to identify emerging patterns and prominent themes within FD and anxiety/depression research through bibliometric analysis to help explore new innovative avenues for investigating this type of FD.MethodsA comprehensive review of literature encompassing FD and anxiety/depression was conducted using the Science Citation Index Extension of the Web of Science Core Collection from 2003 to 2023. Information extracted comprised “Full Record and Cited References.” …”
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Determining Diagnostic Utility of EEG for Assessing Stroke Severity using Deep Learning Models by Shatakshi Singh, Dimple Dawar, Esha Mehmood, Jeyaraj Durai Pandian, Rajeshwar Sahonta, Subhash Singla, Amit Batra, Cheruvu Siva Kumar, Manjunatha Mahadevappa

“…The features were ranked and selected using ranking algorithm and deep learning (DL) models were trained with supervision from information extracted using MRI data. To find out type of stroke and affected artery DWI, SWI and MRA images were used, and severity of stroke was recorded in terms of NIHSS score. …”
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A novel bathymetry signal photon extraction algorithm for photon-counting LiDAR based on adaptive elliptical neighborhood by Zihao Leng, Jie Zhang, Yi Ma, Jingyu Zhang, Haitian Zhu

“…As the in situ water depth confirms, the overall mean absolute error (MAE) and mean relative error (MRE) of the water depth information extracted by the proposed algorithm are 0.79 m and 7.54%, respectively, which indicate high reliability.…”
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Reviews and syntheses: Australian vegetation phenology: new insights from satellite remote sensing and digital repeat photography by C. E. Moore, T. Brown, T. F. Keenan, R. A. Duursma, A. I. J. M. van Dijk, J. Beringer, D. Culvenor, B. Evans, A. Huete, L. B. Hutley, S. Maier, N. Restrepo-Coupe, O. Sonnentag, A. Specht, J. R. Taylor, E. van Gorsel, M. J. Liddell

“…Next, we use time series colour information extracted from phenocam imagery to illustrate a range of phenological signals in four contrasting Australian ecosystems. …”
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Artificial intelligence applicated in gastric cancer: A bibliometric and visual analysis via CiteSpace by Guoyang Zhang, Guoyang Zhang, Jingjing Song, Zongfeng Feng, Zongfeng Feng, Wentao Zhao, Pan Huang, Li Liu, Yang Zhang, Xufeng Su, Yukang Wu, Yi Cao, Zhengrong Li, Zhigang Jie

“…ObjectiveThis study aimed to analyze and visualize the current research focus, research frontiers, evolutionary processes, and trends of artificial intelligence (AI) in the field of gastric cancer using a bibliometric analysis.MethodsThe Web of Science Core Collection database was selected as the data source for this study to retrieve and obtain articles and reviews related to AI in gastric cancer. All the information extracted from the articles was imported to CiteSpace to conduct the bibliometric and knowledge map analysis, allowing us to clearly visualize the research hotspots and trends in this field.ResultsA total of 183 articles published between 2017 and 2022 were included, contributed by 201 authors from 33 countries/regions. …”
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Measuring depression severity based on facial expression and body movement using deep convolutional neural network by Dongdong Liu, Bowen Liu, Bowen Liu, Tao Lin, Guangya Liu, Guoyu Yang, Dezhen Qi, Ye Qiu, Ye Qiu, Yuer Lu, Yuer Lu, Qinmei Yuan, Stella C. Shuai, Xiang Li, Ou Liu, Xiangdong Tang, Jianwei Shuai, Jianwei Shuai, Jianwei Shuai, Yuping Cao, Hai Lin

“…We established behavioral depression degree (BDD) metrics, which combines expression entropy and action entropy to measure the depression severity of MDD patients.ResultsWe found that the information extracted from different modes, when integrated in appropriate proportions, can significantly improve the accuracy of the evaluation, which has not been reported in previous studies. …”
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A method for constructing interpretable hidden Markov models for the task of identifying binding cores in sequences by Denis A. Kleverov, Anatoly A. Shalyto, Maxim N. Artyomov

“…Interpretable models provide a better description of the problem domain and help to draw a conclusion about peptide characteristics based on information extracted from the model. This information will allow researchers to better understand other steps of peptide processing involved in the immune response. …”
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