The Adaptation Problem in Medical Case–Based Reasoning Systems

Vorobieva, Olga

doi:10.1007/978-3-642-14078-5_6

Cited by 2 publications

(4 citation statements)

References 27 publications

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“…In the early 1990s, CBR systems focused only on the retrieval step. The study of various aspects of adaptation only started after this period [10]. Most progress has also been made in the CBR cycle, retrieve, and reuse step [11].…”

Section: Case-based Reasoning (Cbr)mentioning

confidence: 99%

“…The case-based reasoning (CBR) method predicts future situations based on similar historical conditions. This approach itself is not entirely new, but after reading a number of studies dealing with case-based reasoning [2][3][4][5][6][7][8] and its applications in medical data [9][10][11][12][13][14][15][16][17][18][19][20][21], we found that this area still offers several research problems that have not yet received sufficient attention, or a suitable solution has not previously been proposed and tested [9]. One of them is a semi-automatic adaptation of decision models using expert knowledge.…”

Section: Introductionmentioning

confidence: 99%

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Semi-Automatic Adaptation of Diagnostic Rules in the Case-Based Reasoning Process

2020

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The paper presents a new approach to effectively support the adaptation phases in the case-based reasoning (CBR) process. The use of the CBR approach in DSS (Decision Support Systems) can help the doctors better understand existing knowledge and make personalized decisions. CBR simulates human thinking by reusing previous solutions applied to past similar cases to solve new ones. The proposed method improves the most challenging part of the CBR process, the adaptation phase. It provides diagnostic suggestions together with explanations in the form of decision rules so that the physician can more easily decide on a new patient’s diagnosis. We experimentally tested and verified our semi-automatic adaptation method through medical data representing patients with cardiovascular disease. At first, the most appropriate diagnostics is presented to the doctor as the most relevant diagnostic paths, i.e., rules—extracted from a decision tree model. The generated rules are based on existing patient records available for the analysis. Next, the doctor can consider these results in two ways. If the selected diagnostic path entirely covers the actual new case, she can apply the proposed diagnostic path to diagnose the new case. Otherwise, our system automatically suggests the minimal rules’ modification alternatives to cover the new case. The doctor decides if the suggested modifications can be accepted or not.

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Section: Case-based Reasoning (Cbr)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Semi-Automatic Adaptation of Diagnostic Rules in the Case-Based Reasoning Process

2020

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“…In the early 90"s the CBR community focused on retrieval only. Investigations of the various aspects of adaptation started after that [19]. Most of the advances also have been achieved at the retrieval and retain phase of CBR [20].…”

Section: ) Adaptationmentioning

confidence: 99%

“…Most of the systems avoid the adaptation problem by applying only retrieval phase of CBR cycle [19] while some others attempt to solve it. One of the earliest medical expert systems, CASEY [32] makes an attempt to solve the adaptation task.…”

Section: Cbr Systems In Medicinementioning

confidence: 99%

A Survey on Case-based Reasoning in Medicine

Choudhury¹,

Begum²

2016

ijacsa

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Abstract-Case-based reasoning (CBR) based on the memorycentered cognitive model is a strategy that focuses on how people learn a new skill or how they generate hypothesis on new situations based on their past experiences. Among various Artificial Intelligence tracks, CBR, due to its intrinsic similarity with the human reasoning process has been very promising in the utilization of intelligent systems in various domains, in particular in the domain of medicine. In this paper, we extensively survey the literature on CBR systems that are used in the medical domain over the past few decades. We also discuss the difficulties of implementing CBR in medicine and outline opportunities for future work.

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The Adaptation Problem in Medical Case–Based Reasoning Systems

Cited by 2 publications

References 27 publications

Semi-Automatic Adaptation of Diagnostic Rules in the Case-Based Reasoning Process

Semi-Automatic Adaptation of Diagnostic Rules in the Case-Based Reasoning Process

A Survey on Case-based Reasoning in Medicine

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