Narrow search
Showing 1 - 10 of 13,993
Cover Image
When algorithmic predictions use human-generated data : a bias-aware classification algorithm for breast cancer diagnosis
Ahsen, Mehmet Eren; Ayvaci, Mehmet Ulvi Saygi; … - In: Information systems research : ISR 30 (2019) 1, pp. 97-116
Persistent link: https://www.econbiz.de/10012038210
Cover Image
A machine learning-enabled partially observable markov decision process framework for early sepsis prediction
Liu, Zeyu; Khojandi, Anahita; Li, Xueping; Mohammed, Akram - In: INFORMS journal on computing : JOC ; charting new … 34 (2022) 4, pp. 2039-2057
Persistent link: https://www.econbiz.de/10013362643
Cover Image
Forecasting annual lung and bronchus cancer deaths using individual survival times
Jun, Duk Bin; Kim, Kyunghoon; Park, Myoung Hwan - In: International journal of forecasting 32 (2016) 1, pp. 168-179
Persistent link: https://www.econbiz.de/10011596509
Cover Image
An economic approach to machine learning in health policy
Daysal, N. Meltem; Mullainathan, Sendhil; Obermeyer, Ziad; … - 2024
We consider the effects of "precision" screening policies for cancer guided by algorithms. We first show that complex … machine learning models can indeed predict cancer better than simpler models that use established risk factors. We then tackle … the evaluation challenge: an algorithm that can predict cancer in a hold-out set only establishes predictability; it does …
Persistent link: https://www.econbiz.de/10013468544
Cover Image
Prediction of US cancer mortality counts using semiparametric Bayesian techniques
Ghosh, Kaushik; Tiwari, Ram C. - In: Journal of the American Statistical Association : JASA 102 (2007) 477, pp. 7-15
Persistent link: https://www.econbiz.de/10003430634
Cover Image
Performance of autoregressive tree model in forecasting cancer patients
Kaur, Sukhpal; Rakshit, Madhuchanda - In: Strategic system assurance and business analytics, (pp. 187-200). 2020
Persistent link: https://www.econbiz.de/10012240951
Cover Image
A novel approach for breast cancer prediction using optimized ANN classifier based on big data environment
Supriya, M.; Deepa, A. J. - In: Health care management science : a new journal serving … 23 (2020) 3, pp. 414-426
Persistent link: https://www.econbiz.de/10012291198
Cover Image
Predicting health behaviors with economic preferences and perceived control
Conell-Price, Lynn; Jamison, Julian - 2012
We present new evidence on the relationship between health behaviors and experimental measures of risk and time preferences and introduce evidence that perceived control - a measure incorporated from the health psychology literature - is a stronger and more consistent predictor of health...
Persistent link: https://www.econbiz.de/10009681237
Cover Image
Pre-screening systems for early disease prediction, detection, and prevention
Edoh, Thierry Oscar Codjo (ed.); Pawar, Pravin (ed.);  … - 2019
"This book focuses on using non-invasive biomedical sensor devices, IOT solutions, and knowledge database solutions for pre-screening of diseases so that the risk of disease is reduced, or it can be detected early enough to treat the disease most effectively"--Provided by publisher.
Persistent link: https://www.econbiz.de/10012393731
Cover Image
Forecasting, uncertainty and risk; perspectives on clinical decision-making in preventive and curative medicine
Makridakis, Spyros G.; Kirkham, Richard; Wakefield, Ann; … - In: International journal of forecasting 35 (2019) 2, pp. 659-666
Persistent link: https://www.econbiz.de/10012300711