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Mobile Thalassaemia Diagnosis System Using Case-Based Reasoning - UUM Electronic Theses and Dissertation [eTheses]

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ABSTRACT (BAHAS4 MELAYU)

Si f;it ssmulaj adi pekerjaan seorang pengamal penibatan yang sentiasa bergerak demi

keperluan tugas membatasi capaian mereka kepada maklumat digital pada masa yang diperlukan. Oleh itu, peranti mudah alih adalah alternatif yang sesuai untuk kegunaan mereka. Dengan perkembangan pesat peranti mudah alih, keupyaan pemprosessan juga berkembang untuk memenuhi keperluan yang lebih mencabar. Bukan sahaja capaian kepadq maklumat, pengamal perubatan juga perlu merujuk kepada kes-kes yang lalu bagi membuat keputusan atau diagnosis. Dengan itu Case-Based Reasoning (CBR), iaitu satu cabang teknik kepintaran buatan dilihat sesuai untuk membantu pengamal perubatan membuat keputusan. CBR membandingkan kes baru dengan kes-kes sedia ada dan mencadangkan penyelesaian bagi kes barn berdasarkan penyelesanan yang telah dibuat untuk kes-kes yang sedia ada. Proses ini hampir menyamai cam manusia membuat keputusan. C'BR memberi penjelasan terhadap cadangan yang dikemukakan dengan menunjukkim contoh penyelesaian yang telah dibuat kepada masalah yang hampir serupa. Urituk membangunkan sistem CBR, pengumpulan kes-kes Ialu adalah merupakan tugasan utama jika dibandingkan dengan tugasan sistem pakar yang perlu mentafsir kepakaran seseorang pakar.

Thalassaemia, sejenis ganguan genetik darah, telah dipilih sebagai bidang (domain) bagi sistern diagnosis dengan menggunakan kaedah CBR ini.

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ABSTRACT (ENGLISH)

Nomadic nature of physicians restricts their access to digital information at times when it isl needed. Thus, mobile device is seen iis a plausible alternative. With the rapid development of mobile devices, its processing power also increases to cater to challenging computing task. Not only access to information, physician also needs to refer to past cases to make decision or diagnosis. Therefore, case-based reasoning, (CBR) a subset of A1 technique is perceived to be usehl in assisting physicians in making diagnosis. CBR compares new case with existing past cases in the case base and if the7re is similarity, the past solution is suggested as solution to the new case.

This somewhat resembles human decision making. CBR provides justification and better exphiation by depicting previous instance(s). As oppose to expert system, the task of knowledge elicitation turns into case histories gathering for CBR.

Thalassaemia, a genetic blood dlsorder, i s opted as the domain for this mobile CBR diagnosis system.

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