Search Results - "Into the Forest"

Risk assessment of imported malaria in China: a machine learning perspective by Shuo Yang, Ruo-yang Li, Shu-ning Yan, Han-yin Yang, Zi-you Cao, Li Zhang, Jing-bo Xue, Zhi-gui Xia, Shang Xia, Bin Zheng

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The Influence of Physical Activity on Stress-associated Conditions in Higher Education Students by Nataliia Byshevets, Olena Andrieieva, Myroslav Dutchak, Oksana Shynkaruk, Roman Dmytriv, Ievgeniia Zakharina, Kostiantyn Serhiienko, Maryna Hres

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Sick Newborn: A Case of Critical Congenital Heart Disease by Jennifer Mitzman, Jerrid Pippin, James O'Neill

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Prediction of coronary artery lesions in children with Kawasaki syndrome based on machine learning by Yaqi Tang, Yuhai Liu, Zhanhui Du, Zheqi Wang, Silin Pan

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A simplified approach to identification of risk status in patients with atherosclerotic cardiovascular disease by Aparna Sajja, MD, Hsin-Fang Li, Kateri J. Spinelli, Amir Ali, Salim S. Virani, Seth S. Martin, Ty J. Gluckman

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Machine learning models for rat multigeneration reproductive toxicity prediction by Jie Liu, Wenjing Guo, Fan Dong, Jason Aungst, Suzanne Fitzpatrick, Tucker A. Patterson, Huixiao Hong

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Development of a predictive model for hypoxia due to sedatives in gastrointestinal endoscopy: a prospective clinical study in Korea by Jung Wan Choe, Jong Jin Hyun, Seong-Jin Son, Seung-Hak Lee

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Study on the trend of congenital heart disease inpatient costs and its influencing factors in economically underdeveloped areas of China, 2015-2020: a case study of Gansu Province by Shengze Zhou, Yaya Yang, Lei Wang, Heming Liu, Xuemei Wang, Changping Ouyang, Jinhua Pan, Xiaobin Hu

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Understanding cross-data dynamics of individual and social/environmental factors through a public health lens: explainable machine learning approaches by Siwoo Jeong, Siwoo Jeong, Sung Bum Yun, Soon Yong Park, Sungchul Mun, Sungchul Mun

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Clinical utility of fixed-dose combinations in hypertension: evidence for the potential of nebivolol/valsartan by Varagic J, Punzi H, Ferrario CM

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Application of machine learning to identify risk factors of birth asphyxia by Fatemeh Darsareh, Amene Ranjbar, Mohammadsadegh Vahidi Farashah, Vahid Mehrnoush, Mitra Shekari, Malihe Shirzadfard Jahromi

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Development and validation of predictive models for skeletal malocclusion classification using airway and cephalometric landmarks by Anand Marya, Samroeng Inglam, Nattapon Chantarapanich, Sujin Wanchat, Horn Rithvitou, Prasitthichai Naronglerdrit

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Using a Machine Learning Algorithm to Predict the Likelihood of Presence of Dental Caries among Children Aged 2 to 7 by Francisco Ramos-Gomez, Marvin Marcus, Carl A. Maida, Yan Wang, Janni J. Kinsler, Di Xiong, Steve Y. Lee, Ron D. Hays, Jie Shen, James J. Crall, Honghu Liu

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Assessing the clinical utility of multi-omics data for predicting serous ovarian cancer prognosis by Zhe Zhang, Zhiyao Wei, Luyang Zhao, Chenglei Gu, Yuanguang Meng

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Work-related musculoskeletal disorders of tribal female Sal leaf platemakers: An unperceived issue by Sasangbaha Mandi, Piya Majumdar, Subhashis Sahu

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Transmission and control of Plasmodium knowlesi: a mathematical modelling study. by Natsuko Imai, Michael T White, Azra C Ghani, Chris J Drakeley

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Application of machine learning for risky sexual behavior interventions among factory workers in China by Fang Zhang, Shiben Zhu, Siyu Chen, Ziyu Hao, Yuan Fang, Huachun Zou, Huachun Zou, Yong Cai, Bolin Cao, Kechun Zhang, He Cao, Yaqi Chen, Tian Hu, Zixin Wang

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Evaluating the efficacy of various traps in catching tsetse flies at Nech Sar and Maze National Parks, Southwestern Ethiopia: An Implication for Trypanosoma Vector Control. by Netsanet Asfaw, Berhanu Hiruy, Netsanet Worku, Fekadu Massebo

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Exploring the potential link between MitoEVs and the immune microenvironment of periodontitis based on machine learning and bioinformatics methods by Haoran Yang, Anna Zhao, Yuxiang Chen, Tingting Cheng, Jianzhong Zhou, Ziliang Li

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Forecasting Dengue Hotspots Associated With Variation in Meteorological Parameters Using Regression and Time Series Models by Seema Patil, Sharnil Pandya

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