Electrocardiography-based artificial intelligence predicts the upcoming future of heart failure with mildly reduced ejection fraction by Dae-Young Kim, Sang-Won Lee, Dong-Ho Lee, Sang-Chul Lee, Sang-Chul Lee, Ji-Hun Jang, Sung-Hee Shin, Dae-Hyeok Kim, Dae-Hyeok Kim, Wonik Choi, Wonik Choi, Yong-Soo Baek, Yong-Soo Baek, Yong-Soo Baek

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A Comparative Study Evaluated the Performance of Two-class Classification Algorithms in Machine Learning by Shilan Abdullah Hassan, Maha Sabah Saeed

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A SPECIALTY LITERATURE REVIEW OF THE PREDICTIVE MAINTENANCE SYSTEMS by DRAGOS-ALEXANDRU ANDRIOAIA, VASILE GHEORGHITA GAITAN

Subjects: “…predictive maintenance, PdM, RUL prediction, defect identification, IoT, machine learning…”
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PIPENN-EMB ensemble net and protein embeddings generalise protein interface prediction beyond homology by David P. G. Thomas, Carlos M. Garcia Fernandez, Reza Haydarlou, K. Anton Feenstra

Subjects: “…Protein interface prediction…”
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Identifying the Latitude and Longitude of ATMs in ATM Networks by Niloofar Haghjoo, Mohammad rahmati, Ali Zare Mirakabad

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ANN-based software cost estimation with input from COCOMO: CANN model by Chaudhry Hamza Rashid, Imran Shafi, Bilal Hassan Ahmed Khattak, Mejdl Safran, Sultan Alfarhood, Imran Ashraf

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Customization of health insurance premiums using machine learning and explainable AI by Manohar Kapse, Vinod Sharma, Rutuj Vidhale, Varun Vellanki

Subjects: “…Premium prediction…”
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Predictive power of selection tests on the academic performance of medical students by María E. Calles Santoyo, Raúl De León Escobedo, Ricardo Salas Flores, Brian González Pérez, Erick E. Hernández Molina

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Validity of E-PASS Score for Evaluating Perioperative Minor Complications Associated with Carotid Endarterectomy by Yutaka MORISHIMA, Masahito KAWABORI, Yoichi ITO, Masayuki GEKKA, Koji FURUKAWA, Yoshimasa NIIYA, Miki FUJIMURA

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Prediction of Claim Fund Reserves in Insurance Companies Using the ARIMA Method by Goenawan Brotosaputro, Yohanes Setiawan Japriadi, Wiwin Windihastuty, Rivai Ahsani

Subjects: “…prediction…”
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The validity of the selection methods for recruitment to UK core psychiatry training: cohort study by Paul A. Tiffin, Emma Morley, Lewis W. Paton, Nandini Chakraborty, Fiona Patterson

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NOISE PREDICTION, CALCULATION AND MAPPING USING SPECIALIZED SOFTWARE by ALINA PETROVICI, CLAUDIA TOMOZEI, RICARDO GEY FLORES, FLORIN NEDEFF, OANA IRIMIA

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Using machine learning models to plan HIV services: Emerging opportunities in design, implementation and evaluation by T Dzinamarira, E Mbunge, I Chingombe, D F Cuadros, E Moyo, I Chitungo, G Murewanhema, B Muchemwa, G Rwibasira, O Mugurungi, G Musuka, H Herrera

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Frailty risk prediction models for patients undergoing maintenance hemodialysis in China: a systematic review by Yu Zhong, Songmei Cao, Liangying Chen, Teng Li, Wei Ye

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Development and validation of a novel bleeding risk prediction tool for aspirin users with a low body mass index by Lu Yifang, Lei Wanlin, Wang Maofeng

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Current and future burden of breast cancer in Asia: A GLOBOCAN data analysis for 2022 and 2050 by Mengxia Fu, Zhiming Peng, Min Wu, Dapeng Lv, Yanping Li, Shuzhen Lyu

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Integrating electrocardiogram and fundus images for early detection of cardiovascular diseases by K. A. Muthukumar, Dhruva Nandi, Priya Ranjan, Krithika Ramachandran, Shiny PJ, Anirban Ghosh, Ashwini M, Aiswaryah Radhakrishnan, V. E. Dhandapani, Rajiv Janardhanan

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Evaluation of machine learning models for the prediction of Alzheimer's: In search of the best performance by Michael Cabanillas-Carbonell, Joselyn Zapata-Paulini

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Frontal Pole, Cingulate Gyrus, and Precuneus Cortex Represent the Confidence Level in Prediction of Other's Risky Decision-Making. by Ahmad Shoaa Haghighi, Soroush Safari, Elahe Oloumi, Hadis Jameei, Gholam Ali Hossein Zadeh, Abdol-Hossein Vahabie

Subjects: “…Confidence level; Prediction; Metacognition; Decision-making.…”
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Models for predicting risk of endometrial cancer: a systematic review by Bea Harris Forder, Anastasia Ardasheva, Karyna Atha, Hannah Nentwich, Roxanna Abhari, Christiana Kartsonaki

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