UMUMLASHGAN FISHER–PRETSEDENT INFORMATIVLIK MEZONI
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Abstract
Ushbu maqolada yuqori o‘lchamli va aralash tipdagi tibbiy ma’lumotlarda informativ belgilarni tanlash uchun umumlashgan
Fisher - pretsedent mezoni taklif etiladi. Yondashuv pretsedentlarga asoslangan lokal o‘xshashlikni klassik Fisher mezonining guruhlararo va guruh ichidagi tarqalish ko‘rsatkichlari bilan birlashtiradi. Bundan tashqari, belgilarni o‘lchash bilan bog‘liq klinik xarajatlar – tahlil narxi, tekshiruv vaqti, invazivlik, qurilmaga ehtiyoj hamda bemor uchun xavf – mezon tarkibiga normallashgan koeffitsient sifatida kiritiladi. Natijada belgilar qism to‘plami ajratish qobiliyatini oshirish, ichki beqarorlikni va klinik xarajatni kamaytirish tamoyili asosida baholanadi. Sinflar nomutanosib bo‘lgan holatlar uchun sinf vaznlaridan foydalanish ko‘zda tutilib, kam uchraydigan yoki diagnostik xatosi yuqori xavf tug‘diradigan sinflarning ahamiyatini saqlash imkoniyati yaratiladi. Taklif etilgan funksional tibbiy qarorlarni qo‘llab-quvvatlash tizimlarida klinik jihatdan samarali va informativ belgilar majmuasini shakllantirishga xizmat qiladi.
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