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

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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. …”
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Externally validated nomogram for predicting short-term pregnancy outcome of singleton pregnancies with fetal growth restriction (FGR) by Yang Li, Xiaohong Zhang, Junshu Xie, Fufen Yin, Mingrui Jin, Yujing Li, Xiuju Yin

“…Objective This study aimed at developing an available predictive model of singleton pregnancies with fetal growth restriction (FGR) for accurate and individualised prognosis assessment.Methods The prediction nomogram was developed by using multivariable Cox regression with data for 301 singleton FGR pregnancies at Peking University People’s Hospital. …”
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Construction of nomogram model based on contrast-enhanced ultrasound parameters to predict the degree of pathological differentiation of hepatocellular carcinoma by Shu-Min Lian, Hong-Jing Cheng, Hong-Jing Li, Hui Wang

“…ObjectiveTo predict the degree of pathological differentiation of hepatocellular carcinoma (HCC) by quantitative analysis the correlation between the perfusion parameters of contrast-enhanced ultrasound (CEUS) and the pathological grades of HCC using VueBox® software.MethodsWe enrolled 189 patients who underwent CEUS and liver biopsy at our hospital from July 2019 to September 2024 and were pathologically confirmed with primary HCC. …”
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The usefulness of Charlson Comorbidity Index (CCI) scoring in predicting all-cause mortality in Outpatients with Clinical Diagnoses of COPD by Kevin Ly, Dorothy Wakefield, Richard ZuWallack

“…In univariate testing, the CCI score and hospitalizations predicted mortality, but FEV1 did not. In multivariable testing, which included covariates of age, sex, socioeconomic status, race, FEV1 percent-predicted, and all-cause hospitalizations in the preceding year, CCI expressed as a continuous variable strongly predicted mortality: hazard ratio (HR) 1.38 for each unit increase in the score (p < 0.0001). …”
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The Role of Heart Rate, Body Temperature, and Respiratory Rate in Predicting Anastomotic Leakage following Surgery for Rectal Cancer by Jiajun Luo, Hongxue Wu, Yue Jiang, Yu Yang, Jingwen Yuan, Qiang Tong

“…To explore the value of the heart rate, body temperature, and respiratory rate in the early prediction of anastomotic leakage after rectal cancer surgery. …”
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PET/CT-derived coronary calcium score may predict cardiac complications in anthracycline-treated patients with lymphoma by Genevieve Douglas, Zoe Loh, Evonne S.Y. Shum, Sze-Ting Lee, Niamh Waters, Garry Hamilton, Geoffrey Chong, Alexandra C. Murphy, Eliza A. Hawkes

“…Emerging evidence suggests that CACS can also predict cancer therapy-related cardiotoxicity, potentially identifying candidates for cardioprotective strategies. …”
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Comparison of Resting Energy Expenditure Using Indirect Calorimetry and Predictive Equations in Trauma Patients: A Pilot Study by Dae Sung Ma, Gil Jae Lee

“…The purpose of this study was to compare resting energy expenditure (REE) calculated by prediction equations (PEs) to the REE measured by indirect calorimetry (IC) in trauma patients. …”
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Prediction Method for the Ground Vibration Damage Boundary of Thick and Hard Rock Layer Fracture Type Mine Quakes by Ming Zhang, Xuelong Hu, Min Tu, Yong Yue, Qingwei Bu

“…The method can deepen our understanding of mining ground damage prediction, and increase the reliability of ground damage boundary prediction. …”
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miR-155 Predicts Long-Term Mortality in Critically Ill Patients Younger than 65 Years by Frank Tacke, Martina E. Spehlmann, Mihael Vucur, Fabian Benz, Mark Luedde, David Vargas Cardenas, Sanchari Roy, Sven Loosen, Hans-Joerg Hippe, Norbert Frey, Christian Trautwein, Alexander Koch, Christoph Roderburg, Tom Luedde

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Prognostic value of circulatory growth factors to predict responsiveness to chemotherapy and remission status of patients with acute myeloid leukemia by Mohammad Ahmad Bani-Ahmad, Duaa Ghanem

“…According to the receiver operating characteristic (ROC) curve, downregulation of Ang-1 has good predictivity for poor responsiveness to chemotherapy (AUC = 0.781, p < 0.05) while upregulation of sAng-2 has good predictivity for failed remission status (AUC = 0.779, p < 0.05). …”
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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). …”
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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. …”
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Ensemble Prediction Algorithm of Anomaly Monitoring Based on Big Data Analysis Platform of Open-Pit Mine Slope by Song Jiang, Minjie Lian, Caiwu Lu, Qinghua Gu, Shunling Ruan, Xuecai Xie

“…This algorithm integrates multiple classifier prediction algorithms and proceeds classified forecast for data collected, which can optimize the accuracy in predicting the anomaly data in the system. …”
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Enhancing Soil Moisture Prediction in Drought-Prone Agricultural Regions Using Remote Sensing and Machine Learning Approaches by Xizhuoma Zha, Shaofeng Jia, Yan Han, Wenbin Zhu, Aifeng Lv

“…With a continuous time series of near-surface soil moisture, the Richards equation method accurately predicted multi-layer soil moisture and demonstrated its applicability for large-scale spatial use. …”
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Identification of multicohort-based predictive signature for NMIBC recurrence reveals SDCBP as a novel oncogene in bladder cancer by Chen Zhang, Hubin Yin, Tinghao Li, Junrui Chen, Weiyang He, Ke Ren, Bo Li, Xudong Liu

“…LASSO regression was utilized to develop the predictive signature. We combined gene signature and clinicopathological factors to construct a clinical nomogram for estimating NMIBC recurrence in a local cohort. …”
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Social Support Theory for Predicting Stress, Anxiety, and Job Burnout of Healthcare Workers in the Post-pandemic COVID-19 by Masoumeh Mohammadi Khanqah, Fataneh Bakhshi, Asieh Ashouri, Abolhasan Afkar

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A nomogram prediction model for mild cognitive impairment in non-dialysis outpatient patients with chronic kidney disease by Qin Yang, Yuhe Xiang, Guoting Ma, Min Cao, Yixi Fang, Wenbin Xu, Lin Li, Qin Li, Yu Feng, Qian Yang

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Preoperative myosteatosis and perioperative serum chloride levels predict 180 day major complications after radical cystectomy by Wassapol Sornthai, Achiraya Teyateeti, Tawatchai Taweemonkongsap, Siros Jitpraphai, Varat Woranisarakul, Kantima Jongjitaree, Katunyou Mahamongkol, Nattaporn Wanvimolkul, Thitipat Hansomwong

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Daily reference evapotranspiration prediction using empirical and data-driven approaches: A case study of Adana plain by Semin Topaloğlu Paksoy, Deniz Levent Koç

“…Generally, data-driven models provided increased accuracy and enhanced generalization in predicting daily reference evapotranspiration compared to empirical models. …”
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