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Titlebook: Machine Learning in Healthcare Informatics; Sumeet Dua,U. Rajendra Acharya,Prerna Dua Book 2014 Springer-Verlag Berlin Heidelberg 2014 Alg

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41#
發(fā)表于 2025-3-28 16:37:23 | 只看該作者
Clinical Utility of Machine Learning and Longitudinal EHR Data,rediction of chronic progressive diseases from longitudinal medical records. In this Chapter, we illustrate this potential using a case study involving prediction of heart failure. Throughout, we discuss challenges and areas in need of further development.
42#
發(fā)表于 2025-3-28 19:45:52 | 只看該作者
Book 2014ealthcare informatics and reflects the diversity, complexity and the depth and breath of this multi-disciplinary area. The integrated, panoramic view of data and machine learning techniques can provide an opportunity for novel clinical insights and discoveries. .
43#
發(fā)表于 2025-3-29 01:21:35 | 只看該作者
44#
發(fā)表于 2025-3-29 04:03:15 | 只看該作者
Understanding Foot Function During Stance Phase by Bayesian Network Based Causal Inference,id-stance, and terminal stance to pre-swing). BNs were constructed for these three stages of data for normal walking and simulated hemiplegic walking, then compared and analyzed. Results showed that BNs extracted could express the underlying mechanism of foot function.
45#
發(fā)表于 2025-3-29 09:00:20 | 只看該作者
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發(fā)表于 2025-3-29 15:22:21 | 只看該作者
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發(fā)表于 2025-3-29 18:53:38 | 只看該作者
48#
發(fā)表于 2025-3-29 21:17:21 | 只看該作者
Roshan Joy Martis,Chandan Chakraborty,Ajoy Kumar Rayrests, combat desertification,?and halt and reverse land degradation and halt biodiversity loss." and contains the description of a range of terms, which allow a better understanding and foster knowledge..Concr978-3-319-71065-5
49#
發(fā)表于 2025-3-30 03:34:45 | 只看該作者
50#
發(fā)表于 2025-3-30 06:41:06 | 只看該作者
Myagmarbayar Nergui,Jun Inoue,Murai Chieko,Wenwei Yu,U. Rajendra Acharyarests, combat desertification,?and halt and reverse land degradation and halt biodiversity loss." and contains the description of a range of terms, which allow a better understanding and foster knowledge..Concr978-3-319-95981-8Series ISSN 2523-7403 Series E-ISSN 2523-7411
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