Zoekresultaten - "predictive modelling"

A rapid, non-invasive tool for periodontitis screening in a medical care setting door Martijn J. L. Verhulst, Wijnand J. Teeuw, Sergio Bizzarro, Joris Muris, Naichuan Su, Elena A. Nicu, Kamran Nazmi, Floris J. Bikker, Bruno G. Loos

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The value of daily platelet counts for predicting dengue shock syndrome: Results from a prospective observational study of 2301 Vietnamese children with dengue. door Phung Khanh Lam, Tran Van Ngoc, Truong Thi Thu Thuy, Nguyen Thi Hong Van, Tran Thi Nhu Thuy, Dong Thi Hoai Tam, Nguyen Minh Dung, Nguyen Thi Hanh Tien, Nguyen Tan Thanh Kieu, Cameron Simmons, Bridget Wills, Marcel Wolbers

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Severity Index for Suspected Arbovirus (SISA): Machine learning for accurate prediction of hospitalization in subjects suspected of arboviral infection. door Rachel Sippy, Daniel F Farrell, Daniel A Lichtenstein, Ryan Nightingale, Megan A Harris, Joseph Toth, Paris Hantztidiamantis, Nicholas Usher, Cinthya Cueva Aponte, Julio Barzallo Aguilar, Anthony Puthumana, Christina D Lupone, Timothy Endy, Sadie J Ryan, Anna M Stewart Ibarra

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Model for Predicting In-Hospital Mortality of Physical Trauma Patients Using Artificial Intelligence Techniques: Nationwide Population-Based Study in Korea door Seungseok Lee, Wu Seong Kang, Sanghyun Seo, Do Wan Kim, Hoon Ko, Joongsuck Kim, Seonghwa Lee, Jinseok Lee

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A Nomogram for Predicting Cancer-Specific Survival of Osteosarcoma and Ewing's Sarcoma in Children: A SEER Database Analysis door Jinkui Wang, Chenghao Zhanghuang, Chenghao Zhanghuang, Xiaojun Tan, Xiaojun Tan, Tao Mi, Jiayan Liu, Liming Jin, Mujie Li, Zhaoxia Zhang, Dawei He

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Predicting Individual Risk of Emergency Hospital Admissions – A Retrospective Validation Study door Skov Benthien K, Kart Jacobsen R, Hjarnaa L, Mehl Virenfeldt G, Rasmussen K, Toft U

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Revealing novel pyroptosis-related therapeutic targets for sepsis based on machine learning door Ying Chen, Xingkai Wang, Jiaxin Wang, Junwei Zong, Xianyao Wan

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Maternal markers for detecting early-onset neonatal infection and chorioamnionitis in cases of premature rupture of membranes at or after 34 weeks of gestation: a two-center prospe... door Schmitz Thomas, Maillard Françoise, Goffinet François, Popowski Thomas, Leroy Sandrine, Kayem Gilles

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Deep neural network for prediction of diet quality among doctors and nurses in North China during the COVID-19 pandemic door Qihe Wang, Haiyun Chu, Huzhong Li, Congyan Li, Shuting Li, Haiqin Fang, Dong Liang, Taotao Deng, Jinliang Li, Aidong Liu

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Derivation and validation of a model predicting the likelihood of vaginal birth following labour induction door Sepand Alavifard, Kennedy Meier, Yonatan Shulman, George Tomlinson, Rohan D'Souza

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Development and validation of an artificial intelligence model for predicting de novo distant bone metastasis in breast cancer: a dual-center study door Wen-hai Zhang, Yang Tan, Zhen Huang, Qi-xing Tan, Yue-mei Zhang, Chang-yuan Wei

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Validation of Open-Heart Intraoperative Risk score to predict a prolonged intensive care unit stay for adult patients undergoing cardiac surgery with cardiopulmonary bypass door Tribuddharat S, Sathitkarnmanee T, Ngamsaengsirisup K, Wongbuddha C

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Nomogram based on clinical characteristics and ultrasound indicators for predicting severe postpartum hemorrhage in patients with anterior placenta previa combined with previous ce... door Pin Cao, Lu Ji, Chong Qiao

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Eliminating tissue-fold artifacts in histopathological whole-slide images for improved image-based prediction of cancer grade door Sonal Kothari, John H Phan, May D Wang

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Perioperative Changes in Plasma Nitrite and IL-6 Levels Predict Postoperative Atrial Fibrillation (POAF) and Acute Kidney Injury (AKI) after Cardiac Surgery door Matthew A. Fischer, Kimberly Howard-Quijano, Nobel Chenggong Zong, Ji Youn Youn, Norika Mengchia Liu, Jennifer Scovotti, Tristan Grogan, Aman Mahajan, Hua Cai

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Development and Validation of a Nomogram for Predicting 28-Day Mortality on Admission in Elderly Patients with Severe Community-Acquired Pneumonia door Song Y, Wang X, Lang K, Wei T, Luo J, Song Y, Yang D

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Integration of genomics, clinical characteristics and baseline biological profiles to predict the risk of liver injury induced by high-dose methotrexate door Chenquan Lin, Chenquan Lin, Chenquan Lin, Rui Ma, Rui Ma, Rui Ma, Xiao Zeng, Xiao Zeng, Xiao Zeng, Bikui Zhang, Bikui Zhang, Bikui Zhang, Ting Cao, Ting Cao, Ting Cao, Shimeng Jiao, Shimeng Jiao, Shimeng Jiao, Hui Chen, Hui Chen, Hui Chen, Yifang He, Yifang He, Yifang He, Mouze Liu, Mouze Liu, Mouze Liu, Hualin Cai, Hualin Cai, Hualin Cai

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Cost-effectiveness of recurrence risk guided care versus care as usual in women who suffered from early-onset preeclampsia including HELLP syndrome in their previous pregnancy (the... door de Wit-Zuurendonk Laura D, Bruinse Hein W, Spaanderman Marc E, Peeters Louis L, Sep Simone JS, Dirksen Carmen D, van Kuijk Sander MJ, Delahaije Denise HJ, van der Post Joris AM, Duvekot Johannes J, van Eyck Jim, van Pampus Mariëlle G, van der Hoeven Mark ABHM, Smits Luc J

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Development of an evidence-based model for predicting patient, provider, and appointment factors that influence no-shows in a rural healthcare system door Abdul R. Shour, Garrett L. Jones, Ronald Anguzu, Suhail A. Doi, Adedayo A Onitilo

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A machine learning model to predict the risk of depression in US adults with obstructive sleep apnea hypopnea syndrome: a cross-sectional study door Enguang Li, Fangzhu Ai, Chunguang Liang

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