Sep 2026· Advances in computational intelligence and robotics book series· pp. 303-322· 36 references
Machine Learning in Healthcare
Abstract
Alzheimer's Disease (AD) is a progressive neurodegenerative disorder that requires accurate and early diagnosis for effective management. Recent advances in Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have significantly improved AD prediction through the analysis of complex biomedical and healthcare data. This chapter reviews AI- and ML-based approaches for AD prediction, highlighting deep learning models, Natural Language Processing (NLP), multimodal data fusion, wearable sensors, and IoT-enabled healthcare systems for continuous monitoring and intelligent assistive care. Emerging technologies such as Explainable AI (XAI), transfer learning, federated learning, and edge AI are also discussed. Despite promising results, challenges including limited datasets, data heterogeneity, interpretability, privacy concerns, data leakage, and computational complexity remain significant barriers to real-world deployment.
The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al.· Information and Software Tec...· 394 citations· ⚡54
This state-of-practice investigation was performed using a literature review followed by a multiple-case study approach and presents how inconsistency between managerial strategies and execution can lead to failure by means of a behavioral framework.
Carmine Giardino, Xiaofeng Wang, P. Abrahamsson· International Conference on...· 175 citations· ⚡19
This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.
Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al.· Empirical Software Engineeri...· 127 citations· ⚡15
It is found that roles of MVPs in startups were not fully aware by entrepreneurs, and entrepreneurs should consider a systematic approach to fully explore the value of MVP, as a multiple facet product (MFP).
Anh Nguyen-Duc, P. Abrahamsson· International Conference on...· 93 citations· ⚡9
It is found that what perceived as biggest challenges by software startups do vary across different life cycle stages, even though its significance decreases when the learning focuses of the startups move from problem to solution and their products mature.
Xiaofeng Wang, Henry Edison, Sohaib Shahid Bajwa et al.· International Conference on...· 62 citations· ⚡6
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
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